Chi Chen

634 citations
34 papers · 297 · h-index 7

Impact in

Papers in

Chi Chen

30 papers receiving 285 citations

Peers

Chi Chen
Comparison fields: 5 of 66
  • Information Systems 121
  • Computer Vision and Pattern Recognition 106
  • Artificial Intelligence 161
  • Signal Processing 45
  • Geology 11
Replace Aashish Sharma with:
Aashish Sharma United States
Ke Gao China
George Bebis United States
Terumasa Aoki Japan
Baoyun Peng China
Rachana Patil India
Yizhen Zheng Australia
Anirban Roy United States
Jean-Yves Ramel France
Chulin Xie United States
Chi Chen relative to Aashish Sharma United States Aashish Sharma's profile →
Citations per field
00.5×3.7×
Aashish Sharma · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015123
2 202230
3 202224
4 201521
5 202119
6 201510
7 201910
8 20236
9 20005
10 20005
11 20135
12 20144
13 20174
14 20243
15 20223
16 20233
17 20153
18 20163
19 20142
20 20202

About Chi Chen

Chi Chen is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 34 papers that have together received 297 indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), User Authentication and Security Systems (6 papers), Robotics and Sensor-Based Localization (4 papers), Peer-to-Peer Network Technologies (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Information Systems (121 citations), Computer Vision and Pattern Recognition (106 citations), Artificial Intelligence (161 citations), Signal Processing (45 citations) and Geology (11 citations). Chi Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiankun Hu, Song Guo, Albert Y. Zomaya, Zahir Tari, Maosong Sun, Yang Liu, Song Wang, Wencheng Yang, Bisheng Yang and Haiping Wang. Their work appears in journals such as NeuroImage, ISPRS Journal of Photogrammetry and Remote Sensing, Cybersecurity, Optics Express and Cancer Medicine.

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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