Publications

 Journal

• • • Transfer learning with BioBERT embeddings for lncRNA–disease association prediction

Jihwan Ha*†, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2026 (SCIE, IF: 4.5, JCR: 5.2%) 

• • • SVDTI: Stacked variational autoencoder with SMILES-based drug representations for identifying drug-target interaction

Jihwan Ha*†, Neurocomputing, Vol. 661, pp. 131837, Jan 14, 2026 (SCIE, IF: 6.5, JCR: 17.9%) 

• • • MRI 영상을 활용한 경량 CNN-Transformer 기반 알츠하이머병 분류 

윤태현, 김상욱, 류지열, 하지환†,  한국정보기술학회논문지, 2025 (KCI)

• • • CNN-GRU와 이종 그래프 컨볼루션 네트워크를 활용한 lncRNA-질병 연관성 예측 연구

김상욱, 윤태현, 류지열, 하지환†,  한국정보기술학회논문지, 2025 (KCI)

• • • GMFLDA: Improved prediction of lncRNA-disease association via graph convolutional network

Kwangsu Kim, Jihwan Ha†, IEEE Access, Vol. 13, pp. 85330-85341, May 9, 2025 (SCIE, IF: 3.9) 

• • • 앙상블 기계학습 기반 lncRNA–질병 연관성 예측 모델 연구

김보훈, 김상욱, 하지환†, Vol. 23, No. 6, pp. 41-53,  한국정보기술학회논문지, June, 2025 (KCI)

• • • Neighborhood-regularized matrix factorization for lncRNA-disease association identification

Jihwan Ha*, Kwangsu Kim, International Journal of Molecular Sciences, Vol. 26, No. 9, pp. 4283, April 30, 2025 (SCIE, IF: 4.9) 

• • • DeepWalk-based graph embeddings for miRNA-disease association prediction using deep neural network

Jihwan Ha*†, Biomedicines, Vol.13, No. 3, pp. 536, Feb 20, 2025 (SCIE, IF: 3.9) 

• • • Graph convolutional network with neural collaborative filtering for predicting miRNA-disease association

Jihwan Ha*†, Biomedicines, Vol. 13, No. 1, pp. 136, Jan 8, 2025 (SCIE, IF: 3.9) 

• • • CNN-RNN 특징 추출을 활용한 LncRNA 서열 데이터 기반 질병 관련 lncRNA 예측 모델 개발

김상욱, 하지환†, Vol. 22, No. 10, pp. 1-11, 한국정보기술학회논문지, Oct 31, 2024 (KCI)

• • • LncRNA expression profile-based matrix factorization for predicting lncRNA-disease association

Jihwan Ha*†, IEEE Access, Vol. 12, pp. 70297-70304, May 15, 2024 (SCIE, IF: 3.9)

• • • NCMD: Node2vec-based neural collaborative filtering for predicting miRNA-disease association

Jihwan Ha*, Sanghyun Park, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 20, No. 2, Apr 3, 2023 (SCIE, IF: 4.5, JCR: 5.2%) 

• • • SMAP: Similarity-based matrix factorization framework for inferring miRNA-disease association 

Jihwan Ha*†, Knowledge-Based Systems, Vol. 263, pp. 110295, Jan 13, 2023 (SCIE, IF: 8.8, JCR: 12.8%) 

• 멀티오믹스 데이터를 활용한 알츠하이머 질병 예측 딥러닝 모델 개발 연구

하지환*†, 공경보, 박동건, Vol. 20, No. 7, pp. 29-37, 한국정보기술학회논문지, Jul 31, 2022 (KCI)

• 딥러닝을 활용한 오토인코더 기반 질병 관련 miRNA 예측 연구

하지환*†, 한국정보기술학회논문지, Vol. 20, No. 6, pp. 30-40, Jun 30, 2022 (KCI)

• • • MDMF: Predicting miRNA-disease association based on matrix factorization with disease similarity constraint

Jihwan Ha*†, Journal of Personalized Medicine, Vol. 12, No. 6, pp. 885, May 28, 2022 (SCIE, IF: 3.508, JCR: 17.17%) 

• • • MLMD: Metric Learning for predicting MiRNA-Disease associations 

Jihwan Ha*, Chihyun Park, IEEE Access, Vol. 9, pp. 78847-78858, May 27, 2021 (SCIE, IF: 3.9) 

• • • Associations of genetically predicted blood protein biomarkers with pancreatic ductal adenocarcinoma risk: A study using comprehensive protein genetic prediction models
      D Ghoneim, J Zhu, Jihwan Ha, Praveen Surendran, Qizhi Cathy Yao, Tao Liu, Sarah Fahle, Adam Butterworth, Chong Wu, Lang Wu, Cancer Research (AACR), Vol. 81, 2021 (SCIE, IF: 11.2, JCR: 7.96%) 

    • Improved prediction of miRNA–disease associations based on matrix completion with network regularization 

Jihwan Ha*, Chihyun Park, Chanyoung Park, Sanghyun Park, Cells, Volume 9(4), 881-898 pp, Apr 3, 2020 (SCIE, IF: 7.666) 

• • • Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition

Minsoo Cho*, Jihwan Ha*, Chihyun Park, Sanghyun Park (Equally contributed paper ), Journal of Biomedical Informatics, Vol. 103, 103381, Mar, 2020 (SCIE, IF: 8.000, JCR 8.06%) 

• • • IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization

Jihwan Ha*, Chihyun Park, Chanyoung Park, Sanghyun Park , Journal of Biomedical Informatics, Vol. 102, 103358, Feb, 2020 (SCIE, IF: 8.000, JCR 8.06%) 

• • • Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

Chihyun Park, Jihwan Ha, Sanghyun Park, Expert Systems with Applications, Vol. 140, 112873, Feb, 2020 (SCIE, IF: 8.665, JCR 8.15%)

• • • PMAMCA: Prediction of MicroRNA-disease Association utilizing a Matrix Completion Approach

Jihwan Ha*, Chihyun Park, Sanghyun Park , BMC Systems Biology, Vol. 13, No. 33, Mar 20, 2019  (SCIE, IF: 2.048)  

• • • A Method of Extracting Disease-Related microRNAs Through The Propagation Algorithm Using the Environmental Factor Based Global miRNA Network

Jihwan Ha*, Youngmi Yoon, Sanghyun Park , Bio-Medical Materials and Engineering, Vol. 26, pp. 1763-1772, Aug, 2015 (SCIE, IF: 1.234) 

              * indicates first author, † indicates corresponding author