Li‐Fen Chen

4.9k citations
135 papers · 3.4k · 1 hit paper · h-index 27

Impact in

Papers in

Li‐Fen Chen

128 papers receiving 3.3k citations

Li‐Fen Chen's Hit Papers

A new LDA-based face recognition system which can solve the small sample size problem 2000 · 1.0k citations
1.0k0+8+17Years since publication2505007501000

Peers

Li‐Fen Chen
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.1k
  • Neurology 316
  • Cognitive Neuroscience 739
  • Behavioral Neuroscience 131
  • Signal Processing 361
Replace Amir B. Geva with:
Amir B. Geva Israel
Koen Van Leemput United States
Stephen C. Strother United States
Anqi Qiu Singapore
Frithjof Kruggel Germany
Yong Fan United States
Michael Brady United Kingdom
Karen M. von Deneen China
Yi Wu China
Li‐Fen Chen relative to Amir B. Geva Israel Amir B. Geva's profile →
Citations per field
00.5×10×
Amir B. Geva · 1×
Citations per year

Countries citing papers authored by Li‐Fen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Fen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new LDA-based face recognition system which can solve the small sample size problem
Hit paper breakdown →
20001035
2 2014222
3 2010145
4 2004115
5 200487
6 201585
7
A new LDA-based face recognition system which can solve the small sample size problem
199878
8 201277
9 200968
10 201065
11 201660
12 201657
13 200157
14 201348
15 201248
16 198146
17 201442
18 201440
19 201635
20 200335

About Li‐Fen Chen

Li‐Fen Chen is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Physiology, Social Psychology and Neurology, having authored 135 papers that have together received 3.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Neural dynamics and brain function (19 papers), Menstrual Health and Disorders (14 papers), EEG and Brain-Computer Interfaces (14 papers), Stress Responses and Cortisol (10 papers), Blind Source Separation Techniques (10 papers), Neuroscience and Music Perception (7 papers) and Transcranial Magnetic Stimulation Studies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Neurology (316 citations), Cognitive Neuroscience (739 citations), Behavioral Neuroscience (131 citations) and Signal Processing (361 citations). Li‐Fen Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hong-Yuan Mark Liao, Ja‐Chen Lin, Jen‐Chuen Hsieh, Ming‐Tat Ko, Gwo‐Jong Yu, Yong‐Sheng Chen, Tung‐Ping Su, Tzu‐Chen Yeh, Cheng‐Hao Tu and Pei-Chi Tu. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Neuroscience, Scientific Reports, Annals of Oncology and NeuroImage.

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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