Chun-Wei Tan

687 citations
13 papers · 480 · h-index 11

Impact in

Papers in

Chun-Wei Tan

13 papers receiving 456 citations

Peers

Chun-Wei Tan
Comparison fields: 5 of 42
  • Signal Processing 395
  • Computer Vision and Pattern Recognition 300
  • Media Technology 57
  • Information Systems 142
  • Safety Research 49
Replace Xianchao Qiu with:
Xianchao Qiu China
Nianfeng Liu China
Yingzi Du United States
Ricardo Santos Portugal
Abhishek Gangwar India
Arun Ross United States
Zhaofeng He China
K. Kollreider Sweden
Soumyadip Rakshit United Kingdom
Craig Belcher United States
Chun-Wei Tan relative to Xianchao Qiu China Xianchao Qiu's profile →
Citations per field
00.5×3.4×
Xianchao Qiu · 1×
Citations per year

Countries citing papers authored by Chun-Wei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Wei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Wei Tan. 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 Chun-Wei Tan. The network helps show where Chun-Wei Tan may publish in the future.

Co-authors

The 7 scholars most cited alongside Chun-Wei Tan, 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 Chun-Wei Tan Line = papers co-authored together Chun-Wei Tan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2013116
2 201290
3 201489
4 201434
5 200830
6 201127
7 201223
8
Human identification from at-a-distance images by simultaneously exploiting iris and periocular features
201620
9 201316
10 200813
11 201211
12 201410
13 20081

About Chun-Wei Tan

Chun-Wei Tan is a scholar working on Signal Processing, Information Systems, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology, having authored 13 papers that have together received 480 indexed citations. Recurring topics across this work include Biometric Identification and Security (10 papers), User Authentication and Security Systems (6 papers), Forensic and Genetic Research (3 papers), Digital Holography and Microscopy (3 papers), Advanced Optical Imaging Technologies (3 papers), Face recognition and analysis (2 papers), Face and Expression Recognition (2 papers) and Cellular Automata and Applications (1 paper). The work is most often cited by research in Signal Processing (395 citations), Computer Vision and Pattern Recognition (300 citations), Media Technology (57 citations), Information Systems (142 citations) and Safety Research (49 citations). Chun-Wei Tan has collaborated with scholars based in Hong Kong and South Korea. Frequent co-authors include Ajay Kumar, Byung-Gook Lee, Joon-Jae Lee, Dong-Hak Shin, Tak-Shing Chan, Eun-Soo Kim and Hoon Yoo. Their work appears in journals such as IEEE Transactions on Image Processing, Optics Communications, IEEE Transactions on Information Forensics and Security, PolyU Institutional Research Archive (Hong Kong Polytechnic University) and Applied Optics.

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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