Fen Chen

2.8k citations
179 papers · 2.1k · h-index 25

Impact in

Papers in

Fen Chen

163 papers receiving 2.1k citations

Peers

Fen Chen
Comparison fields: 5 of 159
  • Aging 83
  • Computer Vision and Pattern Recognition 561
  • Pharmaceutical Science 162
  • Ceramics and Composites 138
  • Media Technology 193
Replace Yonghong Song with:
Yonghong Song China
Xudong Lin China
Tingting Jiang China
Wei Sun China
Lihua Li China
Sai Li China
Tae‐Yeon Kim South Korea
Qi Li China
Weijie Su United States
Xiaoling Li China
Fen Chen relative to Yonghong Song China Yonghong Song's profile →
Citations per field
00.5×10×20×27.7×
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 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201574
3 199874
4 201472
5 200863
6 201563
7 201360
8 201955
9 200952
10 201247
11 201946
12 202144
13 202043
14 202038
15 201738
16 201635
17 201832
18 201332
19 201431
20 202131

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 179 papers that have together received 2.1k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (43 papers), Advanced Image Processing Techniques (34 papers), Advanced Vision and Imaging (29 papers), Video Coding and Compression Technologies (25 papers), Image Enhancement Techniques (24 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 (83 citations), Computer Vision and Pattern Recognition (561 citations), Pharmaceutical Science (162 citations), Ceramics and Composites (138 citations) and Media Technology (193 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, Mei Yu, M. Shinosky, Jiawei Ma and Shixun Dai. Their work appears in journals such as Journal of Visual Communication and Image Representation, Signal Processing Image Communication, International Journal of Nanomedicine, Journal of Applied Physics and Digital Signal Processing.

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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