Assoc. Prof. Dr. rer. nat. Apichat Suratanee (รศ. ดร. อภิชาต ศุรธณี)
Research Area : Bioinformatics, Machine learning, Data Mining, Pattern recognition, Plant modeling
Working Place : Faculty of Applied Science, KMUTNB
Phone : 02-587-8258 / 02-555-2000 ext. 4524
E-mail : apichat.s@sci.kmutnb.ac.th; sapichat@gmail.com
Education:
2012: Dr.rer.nat. in Computer Science, Ruprecht-Karls-Universität Heidelberg, Germany.
2004: M.Sc. in Computational Science, Chulalongkorn University, Thailand.
2001: B.Sc. in Mathematics, Srinakharinwirot University, Thailand.
Professional experiences :
2021 - Present: Associate Professor, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
2016 - 2021: Assistant Professor, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
2006 -2016: Lecturer, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
10/2009 - 10/2012: Member of Heidelberg Graduate School of Mathematical and Computational Methods of the Sciences (HGS MathComp), Interdisciplinary Center for Scientific Computing (IWR) of Universität Heidelberg, Germany
10/2006 - 10/2012: Doctoral student at Faculty of Mathematics and Computer Science, University of Heidelberg and performing research at the department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology (IPMB), University of Heidelberg and division of Theoretical Bioinformatics (B080) at German Cancer Research Center (DKFZ), Germany
04/2005 - 09/2006: Programmer, The Black Tiger Shrimp Genome Project, Chulalongkorn University, Bangkok, Thailand
05/2004 - 10/2004: Lecturer at Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
05/2001 - 09/2006: Research Assistant at Advanced Virtual and Intelligent Computing Research Center, Chulalongkorn University, Bangkok, Thailand
11/2001 - 02/2002: Teaching Assistant at Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
Fellowship and awards
05/2018 – 05/2020 Research Grant MRG from the Thailand Research Fund (TRF) and the Office of the Higher Education Commission (OHEC), Thailand.
10/2007 – 06/2011 DAAD Long-term Research Fellowship
04/2007 – 10/2007 DAAD German Language Study
06/2002 – 03/2004 Scholarship for the Master of Science program from the Office of Commission on Higher Education, Ministry of Education, Thailand
06/2009 Travel fellowship award, ISMB/ECCB 2009, Sweden
11/2010 Travel fellowship award, ECCB2010, Ghent, Belgium
Apichat Suratanee, Panita Chutimanukul, Kitiporn Plaimas (2025), "Quantification of Flavonoid Contents in Holy Basil Using Hyperspectral Imaging and Deep Learning Approaches", Applied Sciences, 15, 7582. https://doi.org/10.3390/app15137582.
Pakorn Sagulkoo, Hathaichanok Chuntakaruk, Apichat Suratanee, Kitiporn Plaimas, and Nuttinee Teerakulkittipong (2025), "Integrative bioinformatics frameworks for abdominal aortic aneurysm using GWAS meta-analysis, biological network construction, and structural modeling", Scientific Reports, 15, 22331. https://doi.org/10.1038/s41598-025-07989-1.
Thummarat Paklao, Apichat Suratanee, Kitiporn Plaimas (2025), "Integrative Analysis of Gene Co-Expression Networks Combined with Flux Balance Analysis of Metabolic Models for Insights into Chronic Obstructive Pulmonary Disease", 2025 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), IEEE Xplore, Nan, Thailand, 2025, pp. 1-6, https://doi.org/10.1109/ECTIDAMTNCON64748.2025.10962056.
Apichat Suratanee,Panita Chutimanukul,Tanapon Saelao,Supachitra Chadchawan,Teerapong Buaboocha,Kitiporn Plaimas (2024), "Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques", PLoS ONE, 19(10): e0309132. https://doi.org/10.1371/journal.pone.0309132
Panisa Janyasupab, Kodchanan Singhanat, Malee Warnnissorn, Peti Thuwajit, Apichat Suratanee, Kitiporn Plaimas, and Chanitra Thuwajit (2024), "Identification of Tumor Budding-Associated Genes in Breast Cancer through Transcriptomic Profiling and Network Diffusion Analysis", Biomolecules, 14(8):896. https://doi.org/10.3390/biom14080896.
Michael Maes, Bo Zhou, Asara Vasupanrajit, Ketsupar Jirakran, Pavit Klomkliew, Prangwalai Chanchaem, Chavit Tunvirachaisakul, Kitiporn Plaimas, Apichat Suratanee, Jing Li, Abbas F. Almulla, Sunchai Payungporn (2024), "A further examination of growth factors, T helper 1 polarization, and the gut microbiome in major depression: Associations with reoccurrence of illness, cognitive functions, suicidal behaviors, and quality of life", Journal of Psychiatric Research, 176, (2024), Pages 430-441. https://doi.org/10.1016/j.jpsychires.2024.06.037.
Muhammad Sirajo Abdullahi, Apichat Suratanee, Rosario Michael Piro, and Kitiporn Plaimas (2024), "Persistent Homology Identifies Pathways Associated with Hepatocellular Carcinoma from Peripheral Blood Samples", Mathematics, 2024, 12(5), 725; https://doi.org/10.3390/math12050725
Sornsawan Phuangmalai, Apichat Suratanee and Kitiporn Plaimas (2024), "Recommender System to Identify Drug-Target Associations Using Matrix Factorization", 2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), IEEE Xplore, Chiang-mai, Thailand, 2024, pp. 539-544, https://doi.org/10.1109/ECTIDAMTNCON60518.2024.10480045.
Pajaree Sonsungsan, Apichat Suratanee, Teerapong Buaboocha, Supachitra Chadchawan, and Kitiporn Plaimas (2024), "Identification of Salt-Sensitive and Salt-Tolerant Genes Based through Weighted Gene Co-expression Networks Across Mul-tiple Datasets: A Centralization and Differential Correlation Analysis", Genes, 15(3), 316 (2024). https://doi.org/10.3390/genes15030316
Thummarat Paklao, Apichat Suratanee, Kitiporn Plaimas (2023), "ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology", BMC Bioinformatics, 24, 492 (2023). https://doi.org/10.1186/s12859-023-05599-0
Panisa Janyasupab, Apichat Suratanee, Kitiporn Plaimas (2023). "GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data", PeerJ Computer Science. 9:e1686, https://doi.org/10.7717/peerj-cs.1686
Tanapon Saelao, Panita Chutimanukul, Apichat Suratanee, and Kitiporn Plaimas (2023) "Analysis of Antioxidant Capacity Variation among Thai Holy Basil Cultivars (Ocimum tenuiflorum L.) Using Density-Based Clustering Algorithm", Horticulturae, 9(10): 1094. https://doi.org/10.3390/horticulturae9101094
Apichat Suratanee and Kitiporn Plaimas (2023). "Gene Association Classification for Autism Spectrum Disorder: Leveraging Gene Embedding and Differential Gene Expression Profiles to Identify Disease-Related Genes", Applied Sciences. 2023; 13(15):8980. https://doi.org/10.3390/app13158980
Maria Gevezova, Yordan Sbirkov, Victoria Sarafian, Kitiporn Plaimas, Apichat Suratanee, and Michael Maes (2023). "Autistic spectrum disorder (ASD)–Gene, molecular and pathway signatures linking systemic inflammation, mitochondrial dysfunction, transsynaptic signalling, and neurodevelopment", Brain, Behavior, & Immunity-Health, 30, 100646, https://doi.org/10.1016/j.bbih.2023.100646
Michael Maes, Asara Vasupanrajit, Ketsupar Jirakran, Pavit Klomkliew, Prangwalai Chanchaem, Chavit Tunvirachaisakul, Kitiporn Plaimas, Apichat Suratanee and Sunchai Payungporn (2023). "Adverse childhood experiences and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviors and the phenome of major depression: Towards enterotypic-phenotypes", Acta Neuropsychiatrica, 1-55. doi:10.1017/neu.2023.21
Tanatorn Intarapanya, Apichat Suratanee, Sittiporn Pattaradilokrat and Kitiporn Plaimas (2023), "Modeling the Spread of COVID-19 with the Control of Mixed Vaccine Types during the Pandemic in Thailand". Tropical Medicine and Infectious Disease, 8(3), 175; https://doi.org/10.3390/tropicalmed8030175.
Pakorn Sagulkoo, Apichat Suratanee and Kitiporn Plaimas (2022), "Network-based methods with heterogeneous data to identify severe COVID immune-related genes". 2022 26th International Computer Science and Engineering Conference (ICSEC), Sakon Nakhon, Thailand, IEEE Xplore, pp. 334-339, doi: 10.1109/ICSEC56337.2022.10049313.
Panisa Janyasupab, Apichat Suratanee and Kitiporn Plaimas (2022), "Heterogeneous data analysis of hypertrophic cardiomyopathy to prioritize important genes". 2022 26th International Computer Science and Engineering Conference (ICSEC), Sakon Nakhon, Thailand, IEEE Xplore, pp. 325-329, doi:10.1109/ICSEC56337.2022.10049332.
Piyanut Tangmanussukum, Thitipong Kawichai, Apichat Suratanee and Kitiporn Plaimas (2022), "Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction". PeerJ Computer Science, 8:e1124, https://doi.org/10.7717/peerj-cs.1124
Tanatorn Intarapanya, Apichat Suratanee, Sittiporn Pattaradilokrat, and Kitiporn Plaimas (2022), "Modeling the spread of COVID-19 as a consequence of undocumented immigration toward the reduction of daily hospitalization: Case reports from Thailand". PLoS ONE, 17(8): e0273558. https://doi.org/10.1371/journal.pone.0273558
Satanat Kitsiranuwat, Apichat Suratanee, Kitiporn Plaimas (2022), "Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-disease association prediction". Science Progress, 105(3), pp. 1-30; https://doi.org/10.1177/00368504221109215
Pakorn Sagulkoo, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, Apichat Suratanee and Kitiporn Plaimas (2022), "Multi-Level Biological Network Analysis and Drug Repurposing Based on Leukocyte Transcriptomics in Severe COVID-19: In Silico Systems Biology to Precision Medicine". Journal of Personalized Medicine, 12(7), pp.1-24; https://doi.org/10.3390/jpm12071030
Pakorn Sagulkoo, Kitiporn Plaimas, Apichat Suratanee, Andrea Name Colado Simão, Edna Maria Vissoci Reiche and Michael Maes (2022), "Immunopathogenesis and immunogenetic variants in COVID-19". Current Pharmaceutical Design, 48, pp.1-17; http://dx.doi.org/10.2174/1381612828666220519150821
Pakorn Sagulkoo, Apichat Suratanee and Kitiporn Plaimas (2022), "Immune-Related Protein Interaction Network in Severe COVID-19 Patients toward the Identification of Key Proteins and Drug Repurposing". Biomolecules, 12(5), 690, pp.1-32; https://doi.org/10.3390/biom12050690
Muanpetch Rachayon, Ketsupar Jirakran, Pimpayao Sodsai, Siriwan Klinchanhom, Atapol Sughondhabirom, Kitiporn Plaimas, Apichat Suratanee and Michael Maes (2022), "In Vitro Effects of Cannabidiol on Activated Immune–Inflammatory Pathways in Major Depressive Patients and Healthy Controls". Pharmaceuticals, 15, 405. https://doi.org/10.3390/ph15040405
Pajaree Sonsungsan, Pheerawat Chantanakool, Apichat Suratanee, Teerapong Buaboocha, Luca Comai, Supachitra Chadchawan and Kitiporn Plaimas (2021). "Identification of Key Genes in ‘Luang Pratahn’, Thai Salt-Tolerant Rice, Based on Time-Course Data and Weighted Co-expression Networks", Frontiers in Plant Science, 12:744654. pp.1-20. https://doi.org/10.3389/fpls.2021.744654
Michael Maes, Nikita G. Nikiforov, Kitiporn Plaimas, Apichat Suratanee, Daniela Frizon Alfieri and Edna Maria Vissoci Reiche (2021). "New Drug Targets to Prevent Death Due to Stroke: A Review Based on Results of Protein-Protein Interaction Network, Enrichment, and Annotation Analyses", International Journal of Molecular Sciences, 22(22), pp.1-29. https://doi.org/10.3390/ijms222212108
Michael Maes, Kitiporn Plaimas, Apichat Suratanee, Cristiano Noto, and Buranee Kanchanatawan (2021). "First Episode Psychosis and Schizophrenia Are Systemic Neuro-Immune Disorders Triggered by a Biotic Stimulus in Individuals with Reduced Immune Regulation and Neuroprotection", Cells, 10(11), pp. 1-28. https://doi.org/10.3390/cells10112929
Apichat Suratanee and Kitiporn Plaimas (2021). "Hybrid Deep Learning Based on a Heterogeneous Network Profile for Functional Annotations of Plasmodium falciparum Genes", International Journal of Molecular Sciences, Sep. 2021, 22(18), pp. 1-18. https://doi.org/10.3390/ijms221810019
Apichat Suratanee, Teerapong Buaboocha, Kitiporn Plaimas (2021). "Prediction of Human-Plasmodium vivax Protein Associations From Heterogeneous Network Structures Based on Machine-Learning Approach." Bioinformatics and Biology Insights, 15, 1-13. https://doi.org/10.1177/11779322211013350
T. Kawichai, A. Suratanee, K. Plaimas (2021). "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations." IEEE Access, 9, 41809 - 41820. https://doi.org/10.1109/ACCESS.2021.3065280
P Janyasupab, A Suratanee, K Plaimas (2021). "Network diffusion with centrality measures to identify disease-related genes." Mathematical Biosciences and Engineering, 18 (3), 2909-2929.
S. Kitsiranuwat, A. Suratanee, K. Plaimas (2021). "Multi-Data Aspects of Protein Similarity with a Learning Technique to Identify Drug-Disease Associations." Applied Sciences, 2021; 11(7):2914. https://doi.org/10.3390/app11072914
K. Hengphasatporn, K. Plaimas, A. Suratanee, P. Wongsriphisant, J.-M. Yang, Y. Shigeta, W. Chavasiri, S. Boonyasuppayakorn, T. Rungrotmongkol. (2020). “Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells.”, Molecules, 25, 1883. https://doi.org/10.3390/molecules25081883.
A. Suratanee and K. Plaimas (2020). "Heterogeneous Network Model to Identify Potential Associations Between Plasmodium vivax and Human Proteins ", International Journal of Molecular Sciences, 21(4): 1310; https://doi.org/10.3390/ijms21041310.
S. Kitsiranuwat, K. Plaimas, and A. Suratanee (2019). “Large-Scale Complex Network Analysis to Investigate Associations of Disordered Proteins and Scale-Free Network.” Suranaree Journal of Science and Technology, 26(3): 354-363.
Apichat Suratanee, Chidchanok Chokrathok, Panita Chutimanukul, Nopphawitchayaphong Khrueasan, Teerapong Buaboocha, Supachitra Chadchawan, Kitiporn Plaimas (2018). "Two-State Co-Expression Network Analysis to Identify Genes Related to Salt Tolerance in Thai Rice", Genes, Vol. 9, No. 12: 594. https://doi.org/10.3390/genes9120594.
A. Suratanee and K. Plaimas (2018). "Network-Based Association Analysis to Infer New Disease-Gene Relationships Using Large-Scale Protein Interactions", PLoS ONE, 13(6): e0199435, https://doi.org/10.1371/journal.pone.0199435.
A. Suratanee and K.Plaimas (2017). "Reverse Nearest Neighbor Search on a Protein-Protein Interaction Network to Infer Protein-Disease Associations", Bioinformatics and Biology Insights, 11, DOI: 10.1177/1177932217720405.
Chidchanok Chornkrathok, Apichat Suratanee, Teerapong Buaboocha, Supachitra Chadchawan and Kitiporn Plaimas (2016). "Characterization of Clustering Coefficient for Signed Weighted Gene Co-expression Network", International Conference in Mathematics and Applications 2016 (ICMA-MU 2016), pp. 21-30.
Satanat Kitsiranuwat, Kitiporn Plaimas and Apichat Suratanee (2016). "Characterization Network Topology of Disordered Proteins in Protein Interaction Networks", International Conference in Mathematics and Applications 2016 (ICMA-MU 2016), pp. 59-68.
Pajaree Sonsungsan, Kitiporn Plaimas, ApichatSuratanee, Chulee Yompakdee, and Sittiruk Roytrakul (2016). "ฺฺBoolean Model For Analysing The Effect of A Coumarin Compound From Clausena Harmandiana in Jurkat T Cell Line", Mae Fah Luang University International Conference 2016 on Advance in Medical and Health Sciences, pp. 43-49.
A. Suratanee and K.Plaimas (2015). "DDA: A Novel Network-Based Scoring Method to Identify Disease-Disease Associations", Bioinformatics and Biology Insights, 9, pp. 175-186.
A. Suratanee, M. H. Schaefer, M. J. Betts, Z. Soons, H. Mannsperger, N. Harder, M. Oswald, M. Gipp, E. Ramminger, G. Marcus, R. Männer, K. Rohr, E. Wanker, R. B. Russell, M. A. Andrade-Navarro, R. Eils, and R. König (2014), "Characterizing Protein Interactions Employing a Genome-Wide siRNA Cellular Phenotyping Screen", PLOS Computational Biology, 10(9): e1003814. doi:10.1371/journal.pcbi.1003814.
A.Suratanee and K. Plaimas (2014). "Identification of inflammatory bowel disease-related proteins using a reverse k-nearest neighbor search". Journal of Bioinformatics and Computational Biology, Vol. 12, No. 4. DOI: 10.1142/S0219720014500176.
K. Chokeshai-u-saha, T. Sananmuang, D. Kapetis, A. Suratanee (2013). “Application of AMDA 2.13: A Meta-Analysis of Canine Gene Expression Microarray”. International Conference RTOIC2013, May 29-31, 2013, Chonburi, Thailand.
M. Gipp, G. Marcus, N. Harder, A. Suratanee, K. Rohr, R. König, R. Männer (2012). “Haralicks Texture Features Computation Accelerated by GPUs for Biological Applications”. In H.G. Bock, X.P. Hoang, R.Rannacher, J.P. Schlöder (Eds.), Modeling, Simulation and Optimization of Complex Processes (pp. 127-138). March 2-6, 2009, Hanoi, Vietnam: Springer.
A. Suratanee, I. Rebhan, P. Matula, A. Kumar, L. Kaderali, K. Rohr, R. Bartenschlager, R. Eils, R. König. (2010). “Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images”. Bioinformatics (Oxford Journal), 2010 Sep 15, Vol. 26(18), pp. i653-8.
M. Gipp, G. Marcus, N. Harder, A. Suratanee, K. Rohr, R. König, R. Männer (2009). “Haralick's Texture Features Computed by GPUs for Biological Applications”. IAENG International Journal of Computer Science, 2009, Vol. 36(1), 2009.
M. Gipp, G. Marcus, N. Harder, A. Suratanee, K. Rohr, R. König, and R. Männer (2008). “Accelerating the computation of Haralick's Texture Features using Graphics Processing Units (GPUs)”, Proc. World Congress on Engineering 2008 (WCE'08) (pp. 587-593), The 2008 Internat. Conf. of Parallel and Distributed Computing (ICPDC'08), London, UK, July 2-4, 2008, Newswood Limited, International Association of Engineers 2008.
A. Suratanee, K. Na Nakornphanom, K.Plaimas, C.Lursinsap (2008). “Partitioning for High Performance of Predicting Dynamical Behavior of Color Diffusion in Water using 2-D tightly Coupled Neural Cellular Network”. In H.G. Bock, E. Kostina, H.X. Phu, R. Rannacher (Eds.), Modeling, Simulation and Optimization of Complex Processes (pp. 565-574). March 6-10, 2006, Hanoi, Vietnam: Springer.
K. Plaimas, C. Lursinsap, A. Suratanee (2005). “High Performance of Artificial Neural Network of Resolving Ambiguous Nucleotide Problem”, 19th IEEE International Parallel and Distributed Processsing Symposium (IPDPS-2005), April 2005, Denver, Colorado, USA.
A.Suratanee, S.Siripant, C.Lursinsap, and K.Plaimas. (2005). “Simulation and Visualization Of Soybean Growth Affected By Different Amount of Primary Nutrient”, The Northeastern Computer Science and Engineering Conference (NECSEC2005), 31 March-1 April, 2005, Khon Kaen, Thailand.
A. Suratanee, S. Siripant, and C. Lursinsap (2004). “Modeling the Soybean Growth in Different Amount of Nitrogen, Phosphorus, and Potassium Using Neural Network”, Proceedings of the 4th International Workshop on Functional-Structural Plant Models, pp. 130-133, 2004, France.
Book Chapters and Publications in Thai :
อภิชาต ศุรธณี (2566). "การจัดการข้อมูลด้วยดาต้าเฟรม". เอกสารการสอนชุดวิชา การโปรแกรมคอมพิวเตอร์สำหรับวิทยาการข้อมูล (Computer Programming for Data Science) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.
อภิชาต ศุรธณี. (2566). "เลขฐานและทฤษฎีจำนวน". เอกสารการสอนชุดวิชา คณิตศาสตร์สำหรับวิทยาการคอมพิวเตอร์ (Mathematics for Computer Science) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.
อภิชาต ศุรธณี. (2566). "เซตและความสัมพันธ์". เอกสารการสอนชุดวิชา คณิตศาสตร์สำหรับวิทยาการคอมพิวเตอร์ (Mathematics for Computer Science) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.
อภิชาต ศุรธณี. (2563). "เครื่องมือที่ใช้ในวิศวกรรมซอฟต์แวร์". เอกสารการสอนชุดวิชา การวิเคราะห์และออกแบบระบบเชิงวัตถุ (Object Oriented Analysis and Design) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.
อภิชาต ศุรธณี. (2563). "ความรู้เบื้องต้นเกี่ยวกับวัตถุ". เอกสารการสอนชุดวิชา การวิเคราะห์และออกแบบระบบเชิงวัตถุ (Object Oriented Analysis and Design) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.
อภิชาต ศุรธณี. (2558). "การระบุความสัมพันธ์ของโรคโดยใช้ดัชนีความสัมพันธ์". วารสารวิทยาศาสตร์ประยุกต์. ปีที่ 14 ฉบับที่ 1 หน้า 68-77.
อภิชาต ศุรธณี. (2556). "โครงสร้างแบบแฮช (Hashing in Data Structure)". เอกสารการสอนชุดวิชา โครงสร้างข้อมูลและขั้นตอนวิธี (Data Structures and Algorithms) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.
อภิชาต ศุรธณี. (2556) "ขั้นตอนวิธีเวียนเกิดและย้อนรอย (Recursive and Backtracking Algorithm)". เอกสารการสอนชุดวิชา โครงสร้างข้อมูลและขั้นตอนวิธี (Data Structures and Algorithms) สาขาวิชาวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสุโขทัยธรรมาธิราช. นนทบุรี: โรงพิมพ์สุโขทัยธรรมาธิราช.