排名全球前2% 頂尖科學家 World’s Top 2% Scientists 

SCI-indexed journal papers: 67 (54 First or Corresponding) since 2010 ; H-index = 33 (GoogleScholar), 29 (Scopus) ; Publication List: word 

1. Wang* et al. (Accepted) Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images, npj Digital Medicine  (JCR 2024: IF=15.1, Q1 1/185 Health Care Sciences & Services) [First & *Corresponding author] 

2. Wang* et al. (2025) Interpretable Multi-Scale Deep Learning to Detect Malignancy in Cell Blocks and Cytological Smears of Pleural Effusion and Identify Aggressive Endometrial Cancer, Medical Image Analysis, 106(103742), 1-18 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First & *Corresponding author]

3. Wang et al. (2025) Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer, Medical Image Analysis, 99(103372), 1-18 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First author]

4. Wang* et al. (2025) ATEC23 Challenge: automated prediction of treatment effectiveness in ovarian cancer using histopathological images, Medical Image Analysis, 99, 103342, 1-15 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First & *Corresponding author] 

5. Wang* et al. (2025) Interpretable Multi-stage Attention Network to Predict Cancer Subtype, Microsatellite Instability, TP53 mutation and TMB of Endometrial and Colorectal Cancer, Computerized Medical Imaging and Graphics, 121(102499), 1-16 (JCR 2024: IF=4.9, Q1 25/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First author & *Corresponding author]

6. Wang et al. (2025) Deep Learning to Identify Aggressive Endometrial Cancer and Predict Tumor Mutational Burden from Histopathology Slide, Biomedical Signal Processing and Control, 104(107497),1-16 (JCR 2024: IF=4.9, Q2 32/124 ENGINEERING, BIOMEDICAL) [First author]

7. Wang et al. (2025) Automated quantification of HER2 amplification levels using deep learning, IEEE Journal of Biomedical and Health Informatics, 29(1), 333-344 (JCR 2024: IF= 6.8, Q1 3/67 MATHEMATICAL & COMPUTATIONAL BIOLOGY) [First author]

8. Wang* et al. (2025) A survey of deep learning methods on cell instance segmentation, Neural Computing and Applications, 37, 11195-11264 (JCR 2024: IF=4.5, Q2 52/197 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ) [First author & *Corresponding author]

9. Wang* et al. (2024) Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides, npj Precision Oncology, 8(287), 1-18 (JCR 2024: IF= 8, Q1 39/326 Oncology) [First author & *Corresponding author]

10. Ching-Wei Wang; Hikam Muzakky; Nabila Puspita Firdi; Tzu-Chien Liu; Po-Jen Lai; Yu-Chi Wang; Mu-Hsien Yu; Tai-Kuang Chao (2024) Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer, npj Digital Medicine 7, 143 (JCR 2024: IF=15.1, Q1 1/185 Health Care Sciences & Services) [First author]

11. Wang et al. (2023) Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer, Laboratory Investigation, 103 (11) (JCR 2024: IF=4.2, Q1 9/90 Pathology) [First author]

12. Manubens-Gil et al. (2023) BigNeuron: A resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets, Nature Methods, 20, 824–835 (JCR 2024: IF = 32.1, Q1 1/86 BIOCHEMICAL RESEARCH METHODS)

13. Wang* et al. (2023) CW-NET for Multi-type Cell Detection and Classification in Bone Marrow Examination and Mitotic Figure Examination, Bioinformatics, 39(6), 1-8 (JCR 2024: IF=5.4, Q1 8/86 BIOCHEMICAL RESEARCH METHODS) https://youtu.be/MRMR25Mls1A. [First & *Corresponding author]

14. Ching-Wei Wang, Kun-Lin Lin, Hikam Muzakky, Yi-Jia Lin, Tai-Kuang Chao* (2023) Weakly supervised bilayer convolutional network in segmentation of HER2 related cells to guide HER2 targeted therapies, Computerized Medical Imaging and Graphics, 108(102270), 1-15, (JCR 2024: IF=4.9, Q1 25/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First author]

15. Ching-Wei Wang*, Kai-Lin Chu, Hikam Muzakky, Yi-Jia Lin, Tai-Kuang Chao* (2023) Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapy, Cancers, 15(15), 3991 (JCR 2024: IF= 4.4, 85/326 Oncology) [First & *Corresponding author]

16. Meng-Han Chou, Yu-Hsu Chen, Ming-Te Cheng, Hung-Chi Chiang, Hou-Wen Chen & Ching-Wei Wang* (2023) Potential of methacrylated acemannan for exerting antioxidant-, cell proliferation-, and cell migration-inducing activities in vitro, BMC Complementary Medicine and Therapies, 23(204),1-10 (JCR 2024: IF=3.4, Q1 11/45 INTEGRATIVE & COMPLEMENTARY MEDICINE) [*Corresponding author]

17. Wang et al. (2023) Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations, Computerized Medical Imaging and Graphics, 107, 102233, 1-13 (JCR 2024: IF=4.9, Q1 25/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First author]

18. Wang et al. (2023) Detection of ERBB2 and CEN17 signals in fluorescent in situ hybridization and dual in situ hybridization for guiding breast cancer HER2 target therapy, Artificial Intelligence in Medicine, 141, 102568, 1-12 (JCR 2024: IF=6.2, Q1 7/48 MEDICAL INFORMATICS) [First author]

19. Wang et al. (2023) Ensemble biomarkers for guiding anti‐angiogenesis therapy for ovarian cancer using deep learning, Clinical and Translational Medicine, 13(1), e1162, 1-7 (JCR 2024: IF=6.8, Q1 47/326 ONCOLOGY) [First author]

20. Wang* and Muzakky (2023) Computational Pathology for Breast Cancer and Gynecologic Cancer, Cancers, 15(3), 942,1-4 (JCR 2024: IF= 4.4, 85/326 Oncology) [First & *Corresponding author]

21. Wang et al (2023) Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological Slides, International Journal of Molecular Sciences, 24(3), 1-12 (JCR 2024: IF= 4.9, Q1 72/319 BIOCHEMISTRY & MOLECULAR BIOLOGY) [First author]

22. Bai, M.-Y.; Vy, V.P.T.; Tang, S.-L.; Hung, T.N.K.; Wang, C.-W.; Liang, J.-Y.; Wong, C.-C.; Chan, W.P. (2023) Current Progress of Platelet-Rich Derivatives in Cartilage and Joint Repairs. Int. J. Mol. Sci., 24, 12608. ((JCR 2024: IF= 4.9, Q1 72/319 BIOCHEMISTRY & MOLECULAR BIOLOGY)

23. Wang* et al. (2022) Deep Learning for Bone Marrow Cell Detection and Classification on Whole-Slide Images, Medical Image Analysis, 75, 102270, 1-15 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) Video Demo [First & *Corresponding author] 

24. Wang et al. (2022) Histopathological whole slide image dataset for classification of treatment effectiveness to ovarian cancer, Scientific Data, 9(25), 1-5 (JCR 2024: IF= 6.9, Q1 15/135 MULTIDISCIP. SCIENCES) [First author]

25. Wang et al. (2022) Weakly Supervised Deep Learning for Prediction of Treatment Effectiveness on Ovarian Cancer from Histopathology Images, Computerized Medical Imaging and Graphics, 99.102093,1-26 (JCR 2024: IF=4.9, Q1 25/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First author]

26. Wang et al. (2022) A Soft Label Deep Learning to Assist Breast Cancer Target Therapy and Thyroid Cancer Diagnosis, Cancers, 14(21), 5312 (JCR 2024: IF= 4.4, Q2 85/326 Oncology)Video Demo [First author]

27. Wang* et al. (2022) Fast cross-staining alignment of gigapixel whole slide images with application to prostate cancer and breast cancer analysis, Scientific Reports (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES) Video Demo [First &*Corresponding author]

28. Wang* et al. (2022) A Survey on Deep Learning for Precision Oncology, Diagnostics, 12(6),1-37 (JCR 2024: IF= 3.3, Q1 57/332, MEDICINE, GENERAL & INTERNAL) [First &*Corresponding author]

29. Fang et al. (2022) ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images, IEEE Trans on medical imaging, 41(10), 2828 - 2847 (JCR 2024: IF=9.8, Q1 5/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)

30. Wang et al. (2022) Deep Learning Using Endobronchial-Ultrasound-Guided Transbronchial Needle Aspiration Image to Improve the Overall Diagnostic Yield of Sampling Mediastinal Lymphadenopathy, Diagnostics 2022, 12(9), 2234 (JCR 2024: IF= 3.3, Q1 57/332 MEDICINE, GENERAL & INTERNAL) [First author]

31. Khalil M., Lee Y., Lien H., Jeng Y., Wang, C.* (2022) Fast Segmentation of Metastatic Foci in H&E Whole-Slide Images for Breast Cancer Diagnosis, Diagnostics 2022, 12, 990. (JCR 2024: IF= 3.3, Q1 57/332 MEDICINE, GENERAL & INTERNAL) [*Corresponding author]

32. Wang et al. (2022) A weakly supervised deep learning method for guiding ovarian cancer treatment and identifying an effective biomarker, Cancers 14(7):1651 (JCR 2024: IF= 4.4, 85/326  Oncology) Video Demo [First author]  

33. Lee Y., Khalil M., Lee J., Syakura A., Ding Y., Wang C.*(2021) Fully Automatic Registration Methods for Chest X-ray Images, Journal of Medical and Biological Engineering, 41, 826-843 (JCR 2024: IF= 1.7, Q4 95/124 ENG., BIOMED.) [*Corresponding author]

34. Lin Y., Chao, Khalil, Lee, Hong, Wu J., Wang C.* (2021) Deep learning fast screening approach on cytological whole slides for thyroid cancer diagnosis, Cancers 13(15), 3891, 1-13 (JCR 2024: IF= 4.4, 85/326  Oncology) [*Corresponding author]

35. Wang et al. (2021) Artificial Intelligence-Assisted Fast Screening Cervical High Grade Squamous Intraepithelial Lesion and Squamous Cell Carcinoma Diagnosis and Treatment Planning, Scientific Reports 11:16244, 1-14 (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES)  [First author]

36. Lee Y, Syakura A, Khalil M., Wu C., Ding Y., Wang C* (2021) A Real-time Camera-based Adaptive Breathing Monitoring System, Medical & Biological Engineering & Computing 59, 1285–1298 (JCR 2024: IF= 2.6, Q2 22/67 MATHEMATICAL & COMPUTATIONAL BIOLOGY) [*Corresponding author]

37. Li et al. (2021) Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019, IEEE Journal of Biomedical and Health Informatics, 25(2):429-440 (JCR 2024: IF= 6.8, Q1 3/67 MATHEMATICAL & COMPUTATIONAL BIOLOGY)

38. Eisenmann et al. (2018) Why rankings of biomedical image analysis competitions should be interpreted with care, Nature Communications. 9, 5217. (JCR 2024: IF= 15.7, Q1 10/135 MULTIDISCIPLINARY SCI.)

39. Wang* et al. (2018) A Benchmark for Comparing Precision Medicine Methods in Thyroid Cancer Diagnosis using Tissue Microarrays, Bioinformatics, 34(10), 1767–1773 (JCR 2024: IF=5.4, Q1 8/86 BIOCHEMICAL RESEARCH METHODS) [First & *Corresponding author]

40. Vandaele et al. (2018) Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach, Scientific Reports (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES)  

41. Wang C*, Lee Y., Pradana H., Zhou Z., Peng H. (2017) Ensemble Neuron Tracer for 3D Neuron Reconstruction, Neuroinformatics 15(2), 185-198 (JCR 2024: IF=3.1, Q2 134/314 NEUROSCIENCES) [First & *Corresponding author]

42. Maier et al. (2017) ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI, Medical Image Analysis. 35, 250-269 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)

43. Bai M., Wang C et al. (2017) Three-dimensional structure and cytokine distribution of platelet-rich fibrin, CLINICS vol. 72 iss:February (JCR 2024: IF= 2.4, Q1 78/332 MEDICINE, GENERAL & INTERNA)   

44. Lindner C., Wang C* et al. (2016) Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms, Scientific Reports 6: 33581 (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES) [*Corresponding author]

45. Wang* et al. (2016) A benchmark for comparison of dental radiography analysis algorithms, Medical Image Analysis 31, 63-76 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First & *Corresponding author]

46. Wang C.*, Huang C., Hung C. (2015) VirtualMicroscopy: ultra-fast interactive microscopy of gigapixel / terapixel images over internet, Scientific Reports 5: 14069 (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES) [First & *Corresponding author]

47. Wang C.*, Gosno E., Li Y. (2015) Fully automatic and robust 3D registration of serial-section microscopic images, Scientific Reports 5:15051 (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES) [First &*Corresponding author]

48. Wang* et al.(2015) Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge, IEEE Transactions on Medical Imaging 34(9) 1-11 (JCR 2024: IF=9.8, Q1 5/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)  [First &*Corresponding author]

49. Veta et al. (2015) Assessment of algorithms for mitosis detection in breast cancer histopathology images, Medical Image Analysis 20 237-248 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) 

50. Petitjean et al. (2015) Right Ventricle Segmentation From Cardiac MRI: A Collation Study, Medical Image Analysis 19(1) 187-202 (JCR 2024: IF=11.8, Q1 4/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)

51. Wang C.*, Ka S.-M. and Chen, A. (2014) Robust image registration of biological microscopic images, Scientific Reports 4: 6050 (JCR 2024: IF=3.9, Q1 25/135 MULTI. SCIENCES) [First &*Corresponding author]

52. Wang C.*, Hunter A., Gravill, N. and Matusiewicz, S. (2014) Unconstrained Video Monitoring of Breathing Behaviour and Application to Diagnosis of Sleep Apnoea, IEEE Transactions on Biomedical Engineering 61(2) 396-404 (JCR 2024: IF=4.5, Q2 38/124 ENGINEERING, BIOMEDICAL) [First &*Corresponding author]

53. Rueda et al. (2014) Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge. IEEE Transactions on Medical Imaging 33(4) (JCR 2024: IF=9.8, Q1 5/212  RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)   

54. Balocco et al. (2014) Standardized evaluation methodology and reference database for evaluating IVUS image segmentation, Computerized Medical Imaging and Graphics 38(2) 70-90 (JCR 2024: IF=4.9, Q1 25/212 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)

55. Wang C.*, Chen H. (2013) Improved Image Alignment Method in application to X-ray Images and Biological Images, Bioinformatics 29(15) 1879-1887 (JCR 2024: IF=5.4, Q1 8/86 BIOCHEMICAL RESEARCH METHODS) [First &*Corresponding author]

56. Wang C.*, You W. (2013) Boosting-SVM: effective learning with reduced data dimension, Applied Intelligence, 39(3), 465-474 (JCR 2024: IF=3.5, Q2 84/204 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) [First &*Corresponding author]

57. Wang C.*, Yu C.-P. (2013) Automated Morphological Classification of Lung Cancer Subtypes using H&E Tissue Images, Machine Vision & Applications, 24(7),1383-1391 (JCR 2024: IF=2.3, 197/366 ENGINEERING, ELECTRICAL & ELECTRONIC) [First &*Corresponding author]

58. Wang C.* (2012) Fast automatic quantitative cell replication with fluorescent live cell imaging, BMC Bioinformatics, 13:21 (JCR 2024: IF= 3.3, Q1 15/67 MATHEMATICAL & COMPUTATIONAL BIOLOGY) [First &*Corresponding author]

59. Wang C.* (2013) Fast Quantification of Immunohistochemistry Tissue Microarrays in Lung Carcinoma, Computer Methods in Biomechanics and Biomedical Engineering, 16(7) (JCR 2024: IF=1.6, 97/124 ENGINEERING, BIOMEDICAL) [First &*Corresponding author]

60. Buckley et al., The ΔNp63 proteins are key allies of BRCA1 in the prevention of basal-like breast cancer (2011), Cancer Research, 71: 1933 (JCR 2024: IF= 16.6, Q1 16/326 oncology)  

61. Wang C.*, Robust Automated Tumour Segmentation on Histological and Immunohistochemical Tissue Images (2011), PLOS ONE, 6(2), e15818 (JCR 2024: IF=2.6, 44/135 multidisciplinary sciences)  [First &*Corresponding author]

62. Wang C.*, Hunter A. (2010) Robust Pose Recognition of Obscured Human Body, International Journal of Computer Vision, 90(3) 313-330 (JCR 2024: IF=9.3, Q1 21/204 COMPUTER SCIENCE, AI) [First &*Corresponding author]

63. Wang et al. (2010) Ultra-fast processing of gigapixel Tissue MicroArray images using high performance computing, Analytical Cellular Pathology / Cellular Oncology, 33, 271-285 (JCR 2024: IF=2.7, Q2 33/90 PATHOLOGY) [First &*Corresponding author]

64. Wang* et al. (2010) New Computer Vision Approach in the Classification of Adenocarcinoma and Squamous NSCLC using H&E Tissue Images, Cellular oncology, 32(3), p235 (JCR 2024: IF=2.7, Q2 33/90 PATHOLOGY) [First &*Corresponding author]

65. Wang* et al. (2010) Automated Quantification of IHC Biomarkers and Discovery of Novel Prognostically Significant Tumour Subsets in NSCLC using BAK and BAX, Cellular oncology, 32 (3), 176-177 (JCR 2024: IF=2.7, Q2 33/90 PATHOLOGY) [First &*Corresponding author]

66. Wang* et al. (2010) Real Time Pose Recognition of Covered Human for Diagnosis of Sleep Apnoea, Computerized Medical Imaging and Graphics, 34(6) 523-533 (JCR 2024: IF=4.9, Q1 25/212  RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING) [First &*Corresponding author]

67. Wang C.*, Hunter A. (2010) A low variance error boosting algorithm, Applied Intelligence, 33: 357-369 (JCR 2024: IF=3.5, Q2 84/204 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) [First &*Corresponding author]