Yu‐Chi Chen

1.8k citations
105 papers · 1.4k · h-index 19

Impact in

Papers in

Yu‐Chi Chen

99 papers receiving 1.3k citations

Peers

Yu‐Chi Chen
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 497
  • Artificial Intelligence 575
  • Developmental and Educational Psychology 64
  • Information Systems 98
  • Computer Networks and Communications 61
Replace Amar Aggoun with:
Amar Aggoun United Kingdom
Chunyu Hu China
Hassan B. Kazemian United Kingdom
David E. Kanter United States
Mahmoud Néji Tunisia
Steven D. Whitehead United States
John Bush Idoko Cyprus
Elakkiya Rajasekar India
Massudi Mahmuddin Malaysia
Dattatraya Shankar Bormane India
Yu‐Chi Chen relative to Amar Aggoun United Kingdom Amar Aggoun's profile →
Citations per field
00.5×2×4×6.8×
Amar Aggoun · 1×
Citations per year

Countries citing papers authored by Yu‐Chi Chen

Since Specialization
Citations

This map shows the geographic impact of Yu‐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 Yu‐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 Yu‐Chi Chen more than expected).

Fields of papers citing papers by Yu‐Chi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu‐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 Yu‐Chi Chen Line = papers co-authored together Yu‐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 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2 2015120
3 201580
4 201980
5 202347
6 201245
7 201443
8 201441
9 201938
10 202236
11 201235
12 201631
13 202331
14 201627
15 201626
16 202126
17 202425
18 201519
19 201719
20 200718

About Yu‐Chi Chen

Yu‐Chi Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Information Systems and Computer Networks and Communications, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (50 papers), Advanced Steganography and Watermarking Techniques (9 papers), Educational Games and Gamification (8 papers), Chaos-based Image/Signal Encryption (7 papers), Blockchain Technology Applications and Security (7 papers), Privacy-Preserving Technologies in Data (4 papers), 3D IC and TSV technologies (3 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (497 citations), Artificial Intelligence (575 citations), Developmental and Educational Psychology (64 citations), Information Systems (98 citations) and Computer Networks and Communications (61 citations). Yu‐Chi Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Gwoboa Horng, Chih-Wei Shiu, Raylin Tso, Wien Hong, Du-Shiau Tsai, Huei‐Tse Hou, Masahiro Mambo, Sk. Md. Mizanur Rahman, Wei-Kai Lin and Zi-Yuan Liu. Their work appears in journals such as The Computer Journal, IEEE Transactions on Information Forensics and Security, IEEE Access, Journal of Visual Communication and Image Representation and Journal of Educational Computing 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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