Jing Ke

924 total citations
73 papers, 534 citations indexed

About

Jing Ke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jing Ke has authored 73 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jing Ke's work include AI in cancer detection (28 papers), Digital Imaging for Blood Diseases (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Jing Ke is often cited by papers focused on AI in cancer detection (28 papers), Digital Imaging for Blood Diseases (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Jing Ke collaborates with scholars based in China, Australia and United States. Jing Ke's co-authors include Yiqing Shen, Xiaoyao Liang, Dinggang Shen, Yizhou Lu, Bo Li, Naifeng Jing, Lingfei Wei, Yin Xiao, Richard J. Miron and Peng Ma and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Dental Research and Life Sciences.

In The Last Decade

Jing Ke

64 papers receiving 524 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jing Ke China 13 186 106 101 80 72 73 534
Suling Xu China 16 216 1.2× 100 0.9× 71 0.7× 53 0.7× 106 1.5× 53 763
Dawei Yang China 14 126 0.7× 90 0.8× 236 2.3× 208 2.6× 65 0.9× 72 876
Máté E. Maros Germany 12 195 1.0× 80 0.8× 266 2.6× 155 1.9× 182 2.5× 43 906
Yi Song China 13 127 0.7× 205 1.9× 91 0.9× 125 1.6× 70 1.0× 43 548
Zhehao Dai China 16 176 0.9× 166 1.6× 189 1.9× 70 0.9× 83 1.2× 35 690
Anna Korzyńska Poland 12 151 0.8× 115 1.1× 81 0.8× 32 0.4× 65 0.9× 36 417
Martino Bosco Italy 19 123 0.7× 85 0.8× 91 0.9× 29 0.4× 142 2.0× 34 825
Yida Wang China 13 76 0.4× 173 1.6× 282 2.8× 59 0.7× 32 0.4× 39 704
Jun Shi China 14 53 0.3× 139 1.3× 87 0.9× 42 0.5× 117 1.6× 53 517
Jianhong Cheng China 14 124 0.7× 146 1.4× 193 1.9× 72 0.9× 109 1.5× 30 589

Countries citing papers authored by Jing Ke

Since Specialization
Citations

This map shows the geographic impact of Jing Ke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ke more than expected).

Fields of papers citing papers by Jing Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Ke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Ke. The network helps show where Jing Ke may publish in the future.

Co-authorship network of co-authors of Jing Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ke. A scholar is included among the top collaborators of Jing Ke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Ke. Jing Ke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yan, Ruili Yin, Yongsong Xu, et al.. (2025). Reduced expression of PDZK1 mediates fibroblast activation and cardiac fibrosis via EGFR phosphorylation in diabetic cardiomyopathy. Life Sciences. 379. 123916–123916.
2.
Liu, Sheng, et al.. (2025). Ethics of Foundation Models in Computational Pathology: Overview of Contemporary Issues and Future Implications. IEEE Transactions on Medical Imaging. 44(10). 4098–4115.
3.
Wang, Chong, Junjun He, Zan Chen, et al.. (2025). A survey for large language models in biomedicine. Artificial Intelligence in Medicine. 170. 103268–103268. 3 indexed citations
4.
Gao, Zhan, Jing Ke, Ken Lin, et al.. (2025). Angiography-derived index of microcirculatory resistance as a novel tool to assess coronary microvascular dysfunction in patients with diabetic cardiomyopathy. International Journal of Cardiology. 431. 133220–133220. 1 indexed citations
5.
Ren, Yuxiang, Yi Tian, Zan Chen, et al.. (2025). DiffM 4 RI: A Latent Diffusion Model With Modality Inpainting for Synthesizing Missing Modalities in MRI Analysis. IEEE Journal of Biomedical and Health Informatics. 30(2). 1006–1018.
6.
Shen, Yiqing, Chong Wang, & Jing Ke. (2025). AutoPathML: Automated Machine Learning for Histology Images via Large Language Model and Multi‐Agent. 1(1). 32–43. 1 indexed citations
7.
8.
Li, Shuxin, Xuezhi Zhou, Junjun He, et al.. (2024). SegAnyPath: A Foundation Model for Multi- Resolution Stain-Variant and Multi-Task Pathology Image Segmentation. IEEE Transactions on Medical Imaging. 44(10). 3924–3937. 4 indexed citations
9.
Li, Shuxin, et al.. (2024). RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. IEEE Journal of Biomedical and Health Informatics. 28(6). 3660–3671. 6 indexed citations
10.
Cui, Hui, et al.. (2024). Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. IEEE Transactions on Medical Imaging. 43(8). 2888–2900. 6 indexed citations
11.
Ke, Jing, Yiqing Shen, Yi Guo, et al.. (2024). Learnable color space conversion and fusion for stain normalization in pathology images. Medical Image Analysis. 101. 103424–103424. 2 indexed citations
12.
Li, Haiyue, Jing Xie, Cheng Jin, et al.. (2023). CRCS: An automatic image processing pipeline for hormone level analysis of Cushing’s disease. Methods. 222. 28–40. 1 indexed citations
13.
Shen, Yiqing, Jiadong Zhang, Shujie Song, et al.. (2023). A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Transactions on Medical Imaging. 42(12). 3907–3918. 10 indexed citations
14.
Ke, Jing, Jiaxuan Huang, Yizhou Lu, et al.. (2023). Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Transactions on Medical Imaging. 42(12). 3487–3500. 11 indexed citations
15.
16.
Shen, Yiqing, Arcot Sowmya, Yulin Luo, et al.. (2022). A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Transactions on Medical Imaging. 42(7). 1969–1981. 31 indexed citations
17.
Shen, Yiqing, Dinggang Shen, & Jing Ke. (2022). Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Transactions on Medical Imaging. 41(12). 3835–3848. 11 indexed citations
18.
Shen, Yiqing & Jing Ke. (2021). Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(4). 2431–2441. 15 indexed citations
19.
Meng, Qinggong, et al.. (2017). Sialoendoscopy combined with an internal stent and postoperative massage as a comprehensive treatment of delayed I 131 -induced parotitis. British Journal of Oral and Maxillofacial Surgery. 55(7). 674–678. 3 indexed citations
20.
Ke, Jing. (2008). Numerical simulation of 3-D flow characteristics in twin screw extruders with combined screws. Machinery Design and Manufacture. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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