Caiming Chen

686 citations
48 papers · 502 · h-index 12

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Gout, Hyperuricemia, Uric Acid
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer

Papers in

    • Chronic Kidney Disease and Diabetes 3
    • Renal Diseases and Glomerulopathies 3
    • Face and Expression Recognition 3
    • Advanced Steganography and Watermarking Techniques 3
    • Image and Video Stabilization 3

Caiming Chen

39 papers receiving 490 citations

Peers

Caiming Chen
Comparison fields: 5 of 99
  • Nephrology 62
  • Immunology 92
  • Renewable Energy, Sustainability and the Environment 44
  • Pharmacology 21
  • Neurology 18
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Citations per field
00.5×2×3×3.5×
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Citations per year

Countries citing papers authored by Caiming Chen

Since Specialization
Citations

This map shows the geographic impact of Caiming Chen'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 Caiming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caiming Chen more than expected).

Fields of papers citing papers by Caiming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caiming Chen. 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 Caiming Chen. The network helps show where Caiming Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Caiming Chen, 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 Caiming Chen Line = papers co-authored together Caiming Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202292
2 201992
3 202259
4 202035
5 202421
6 202420
7 201018
8 202116
9 202215
10 202414
11 201914
12 201012
13 202111
14 201710
15 20229
16 20238
17 20217
18 20105
19 20255
20 20185

About Caiming Chen

Caiming Chen is a scholar working on Nephrology, Computer Vision and Pattern Recognition, Water Science and Technology, Molecular Biology and Immunology, having authored 48 papers that have together received 502 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Face and Expression Recognition (3 papers), RNA modifications and cancer (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Water resources management and optimization (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Image and Video Stabilization (3 papers). The work is most often cited by research in Nephrology (62 citations), Immunology (92 citations), Renewable Energy, Sustainability and the Environment (44 citations), Pharmacology (21 citations) and Neurology (18 citations). Caiming Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weibo Wu, Jianfeng Chen, Keng Ye, Yanfang Xu, Shiqing Zhang, Zhimin Chen, Ying Shu Yuan, Yinshuang Li, Guoping Li and Muhammad Zeeshan Malik. Their work appears in journals such as PeerJ, Water, Journal of Advanced Research, RNA Biology and Frontiers in Bioengineering and Biotechnology.

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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