Fen Chen

2.8k citations
194 papers · 2.3k · h-index 26

Impact in

Papers in

Fen Chen

172 papers receiving 2.2k citations

Peers

Fen Chen
Comparison fields: 5 of 162
  • Aging 86
  • Computer Vision and Pattern Recognition 584
  • Pharmaceutical Science 161
  • Ceramics and Composites 145
  • Media Technology 199
Replace Yonghong Song with:
Yonghong Song China
Xudong Lin China
Tingting Jiang China
Lihua Li China
Sai Li China
Qi Li China
Weijie Su United States
Xiaoling Li China
Haiyan Shi China
Seung Min Lee South Korea
Fen Chen relative to Yonghong Song China Yonghong Song's profile →
Citations per field
00.5×10×20×28.7×
Yonghong Song · 1×
Citations per year

Countries citing papers authored by Fen Chen

Since Specialization
Citations

This map shows the geographic impact of 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 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 Fen Chen more than expected).

Fields of papers citing papers by Fen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside 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 Fen Chen Line = papers co-authored together 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 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 199879
3 201578
4 201478
5 200869
6 201566
7 201363
8 201959
9 200952
10 201950
11 202148
12 201247
13 202047
14 201743
15 202039
16 201638
17 201337
18 201833
19 202132
20 200931

About Fen Chen

Fen Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Signal Processing and Materials Chemistry, having authored 194 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (43 papers), Advanced Image Processing Techniques (35 papers), Advanced Vision and Imaging (30 papers), Image Enhancement Techniques (26 papers), Video Coding and Compression Technologies (26 papers), Copper Interconnects and Reliability (20 papers), Semiconductor materials and devices (19 papers) and Phase-change materials and chalcogenides (14 papers). The work is most often cited by research in Aging (86 citations), Computer Vision and Pattern Recognition (584 citations), Pharmaceutical Science (161 citations), Ceramics and Composites (145 citations) and Media Technology (199 citations). Fen Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zongju Peng, Gangyi Jiang, Weisan Pan, Xinggang Yang, Mei Yu, Donald S. Gardner, M. Shinosky, Mei Yu, Jiawei Ma and Yaxun Zhou. Their work appears in journals such as Journal of Visual Communication and Image Representation, Signal Processing Image Communication, Digital Signal Processing, International Journal of Nanomedicine 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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