Jincai Chen

994 citations
82 papers · 679 · h-index 14

Impact in

Papers in

Jincai Chen

70 papers receiving 667 citations

Peers

Jincai Chen
Comparison fields: 5 of 134
  • Experimental and Cognitive Psychology 115
  • Computer Vision and Pattern Recognition 167
  • Signal Processing 86
  • Speech and Hearing 43
  • Artificial Intelligence 181
Replace Meihong Wu with:
Meihong Wu China
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Jung‐Tae Lee South Korea
Qi Liu China
Jorma Laurikkala Finland
Ping Xiong China
Hadeel Alsolai Saudi Arabia
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Jincai Chen relative to Meihong Wu China Meihong Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jincai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jincai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 202250
3 202148
4 202247
5 201437
6 202335
7 202132
8 202029
9 201722
10 202016
11 201715
12 202313
13 202313
14 202313
15 202312
16 202011
17 201910
18 202010
19 201910
20 20219

About Jincai Chen

Jincai Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 82 papers that have together received 679 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (14 papers), Magnetic properties of thin films (12 papers), Cellular Automata and Applications (9 papers), Music and Audio Processing (9 papers), Speech and Audio Processing (8 papers), Noise Effects and Management (6 papers), Advanced Image Processing Techniques (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (115 citations), Computer Vision and Pattern Recognition (167 citations), Signal Processing (86 citations), Speech and Hearing (43 citations) and Artificial Intelligence (181 citations). Jincai Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Ping Lü, Min Chen, Yaxiong Ma, Yixue Hao, Andrej Košir, Haibo Wang, Sheng Zhang, Yuan-Fang Li, Fuhao Zou and Jing Wang. Their work appears in journals such as IEEE Transactions on Magnetics, Information Fusion, Journal of Magnetism and Magnetic Materials, IEEE Transactions on Multimedia and Journal of Orthopaedic Surgery and Research.

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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