Li‐Fen Chen

4.9k citations
139 papers · 3.6k · 1 hit paper · h-index 27

Impact in

Papers in

Li‐Fen Chen

131 papers receiving 3.5k citations

Li‐Fen Chen's Hit Papers

A new LDA-based face recognition system which can solve the small sample size problem 2000 · 1.2k citations
1.2k0+8+17Years since publication2505007501000

Peers

Li‐Fen Chen
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 1.2k
  • Neurology 329
  • Cognitive Neuroscience 784
  • Behavioral Neuroscience 132
  • Signal Processing 409
Replace Amir B. Geva with:
Amir B. Geva Israel
Michael Brady United Kingdom
Koen Van Leemput United States
Anqi Qiu Singapore
Frithjof Kruggel Germany
Didier Le Gall France
Yong Fan United States
Karen M. von Deneen China
Tong Boon Tang Malaysia
Li‐Fen Chen relative to Amir B. Geva Israel Amir B. Geva's profile →
Citations per field
00.5×2×4×6×8×10×
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 139 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 →
20001171
2 2014233
3 2010146
4 2004121
5 200488
6 201587
7
A new LDA-based face recognition system which can solve the small sample size problem
199882
8 201281
9 200973
10 201067
11 200166
12 201662
13 201657
14 201255
15 201353
16 198149
17 201446
18 201440
19 200838
20 200338

About Li‐Fen Chen

Li‐Fen Chen is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Physiology, Social Psychology and Computer Vision and Pattern Recognition, having authored 139 papers that have together received 3.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Neural dynamics and brain function (20 papers), EEG and Brain-Computer Interfaces (16 papers), Menstrual Health and Disorders (14 papers), Blind Source Separation Techniques (12 papers), Stress Responses and Cortisol (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 (1.2k citations), Neurology (329 citations), Cognitive Neuroscience (784 citations), Behavioral Neuroscience (132 citations) and Signal Processing (409 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, Ming‐Tat Ko, Gwo‐Jong Yu, Jen‐Chuen Hsieh, Yong‐Sheng Chen, Tung‐Ping Su, Tzu‐Chen Yeh, Pei-Chi Tu and Cheng‐Hao Tu. Their work appears in journals such as Journal of Affective Disorders, Scientific Reports, Frontiers in Neuroscience, NeuroImage and Annals of Oncology.

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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