Chi Chen

648 citations
44 papers · 460 · h-index 9

Impact in

Papers in

Chi Chen

40 papers receiving 443 citations

Peers

Chi Chen
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 219
  • Signal Processing 112
  • Information Systems 167
  • Artificial Intelligence 193
  • Geology 11
Replace Zhaohui Wang with:
Zhaohui Wang China
Ke Gao China
Alberto Messina Italy
Tomislav Hrkać Croatia
Baoyun Peng China
Rui Dai United States
Haoyu Zhang China
Chi Chen relative to Zhaohui Wang China Zhaohui Wang's profile →
Citations per field
00.5×2.8×
Zhaohui Wang · 1×
Citations per year

Countries citing papers authored by Chi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015139
2 2013113
3 202233
4 202226
5 201523
6 202120
7 201511
8 201911
9 20238
10 20135
11 20235
12 20005
13 20005
14 20145
15 20224
16 20174
17 20244
18 20184
19 20113
20 20153

About Chi Chen

Chi Chen is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 44 papers that have together received 460 indexed citations. Recurring topics across this work include Biometric Identification and Security (10 papers), User Authentication and Security Systems (10 papers), Advanced Steganography and Watermarking Techniques (7 papers), Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (5 papers), Robotics and Sensor-Based Localization (5 papers), Blockchain Technology Applications and Security (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Signal Processing (112 citations), Information Systems (167 citations), Artificial Intelligence (193 citations) and Geology (11 citations). Chi Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiankun Hu, David A. Reid, Sina Samangooei, Mark Nixon, Arun Ross, Albert Y. Zomaya, Song Guo, Zahir Tari, Maosong Sun and Yang Liu. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, NeuroImage, Cybersecurity, International Journal of Technology Management and IEEE Transactions on Parallel and Distributed Systems.

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.

Explore authors with similar magnitude of impact