Jing Ke

992 citations
76 papers · 564 · h-index 14

Impact in

Papers in

Jing Ke

65 papers receiving 555 citations

Peers

Jing Ke
Comparison fields: 5 of 99
  • Complementary and Manual Therapy 14
  • Artificial Intelligence 191
  • Computer Vision and Pattern Recognition 110
  • Ceramics and Composites 31
  • Radiology, Nuclear Medicine and Imaging 99
Replace Donato Cascio with:
Donato Cascio Italy
Takeshi Sasaki Japan
Martino Bosco Italy
Zhehao Dai China
Pengfei Shao China
Suling Xu China
Jianying Zhang United States
Tong Ding China
Getao Du China
Jing Ke relative to Donato Cascio Italy Donato Cascio's profile →
Citations per field
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Donato Cascio · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jing Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Ke Line = papers co-authored together Jing Ke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 202238
3 201632
4 202329
5 201824
6 202223
7 202022
8 201821
9 202119
10 202118
11 202115
12 202115
13 202015
14 202314
15 202312
16 201912
17 201812
18 202211
19 202010
20 20199

About Jing Ke

Jing Ke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Oncology, having authored 76 papers that have together received 564 indexed citations. Recurring topics across this work include AI in cancer detection (28 papers), Digital Imaging for Blood Diseases (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced Image and Video Retrieval Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Cell Image Analysis Techniques (5 papers), Advanced Neural Network Applications (4 papers) and Microwave Dielectric Ceramics Synthesis (4 papers). The work is most often cited by research in Complementary and Manual Therapy (14 citations), Artificial Intelligence (191 citations), Computer Vision and Pattern Recognition (110 citations), Ceramics and Composites (31 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Jing Ke has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yiqing Shen, Xiaoyao Liang, Dinggang Shen, Yizhou Lu, Bo Li, Naifeng Jing, Yufeng Zhang, Richard J. Miron, Arcot Sowmya and Indira Prasadam. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Dental Research, Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics and Journal of Advanced Nursing.

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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