Yingyu Chen

486 citations
32 papers · 285 indexed · h-index 11

Impact in

Papers in

Yingyu Chen

30 papers receiving 274 citations

Peers

Yingyu Chen
Comparison fields: 5 of 74
  • Human-Computer Interaction 25
  • Computer Vision and Pattern Recognition 64
  • Computer Networks and Communications 67
  • Computer Science Applications 15
  • Artificial Intelligence 78
Replace Sumit Pandey with:
Sumit Pandey India
Achilleas Achilleos Cyprus
Zach Jorgensen United States
Jimmy Secretan United States
Simon Wang Hong Kong
Varun Chandrasekaran United States
Giorgio Maria Di Nunzio Italy
Mansur Alp Toçoğlu Türkiye
Xiaoxiao Ma China
Kasthuri Jayarajah Singapore
Yingyu Chen relative to Sumit Pandey India Sumit Pandey's profile →
Citations per field
00.5×4.5×
Sumit Pandey · 1×
Citations per year

Countries citing papers authored by Yingyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20240
4 202412
5 20241
6 20243
7 20230
8 202320
9 20231
10 20231
11 20234
12 201825
13 20182
14 20159
15 201510
16 201518
17 20132
18 201221
19 20091
20 20094

About Yingyu Chen

Yingyu Chen is a scholar working on Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 32 papers that have together received 285 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (5 papers), Cooperative Communication and Network Coding (5 papers), Innovative Human-Technology Interaction (5 papers), AI in cancer detection (5 papers), Advanced Neural Network Applications (4 papers), Advanced Wireless Network Optimization (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Computer Vision and Pattern Recognition (64 citations), Computer Networks and Communications (67 citations), Computer Science Applications (15 citations) and Artificial Intelligence (78 citations). Yingyu Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Frank Bentley, Chien Chen, Ziyuan Yang, Yi Zhang, Xiaoxiao Li, Jun Zhao, Christian Holz, Hui Wang, Maosong Ran and Xu Cheng. Their work appears in journals such as Ad Hoc Networks, Electric Power Systems Research, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Medical Imaging.

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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