Bin Chen

3.4k citations
120 papers · 2.7k · h-index 30

Impact in

Papers in

Bin Chen

113 papers receiving 2.6k citations

Peers

Bin Chen
Comparison fields: 5 of 159
  • Polymers and Plastics 487
  • Biomedical Engineering 1.1k
  • Biomaterials 296
  • Computer Vision and Pattern Recognition 429
  • Media Technology 159
Replace Chung‐Feng Jeffrey Kuo with:
Chung‐Feng Jeffrey Kuo Taiwan
Yan Su China
Guangming Zhu China
Qiang Chen China
Peng Sun China
Ziyang Liu China
Tielin Shi China
Yingguang Li China
Chi Zhou United States
Bin Chen relative to Chung‐Feng Jeffrey Kuo Taiwan Chung‐Feng Jeffrey Kuo's profile →
Citations per field
00.5×4.4×
Chung‐Feng Jeffrey Kuo · 1×
Citations per year

Countries citing papers authored by Bin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008206
2 2003160
3 2012146
4 2013114
5 2022109
6 200996
7 202380
8 201878
9 201965
10 201859
11 201856
12 200656
13 201956
14 202348
15 202047
16 201945
17 202244
18 202342
19 201641
20 202239

About Bin Chen

Bin Chen is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Media Technology, Biomaterials and Mechanical Engineering, having authored 120 papers that have together received 2.7k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (27 papers), Advanced Sensor and Energy Harvesting Materials (21 papers), Image Processing Techniques and Applications (20 papers), Advanced Vision and Imaging (18 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Conducting polymers and applications (8 papers), Advanced Cellulose Research Studies (7 papers) and Dielectric materials and actuators (6 papers). The work is most often cited by research in Polymers and Plastics (487 citations), Biomedical Engineering (1.1k citations), Biomaterials (296 citations), Computer Vision and Pattern Recognition (429 citations) and Media Technology (159 citations). Bin Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Bing Pan, Qibing Pei, Changlu Shao, Xinghua Yang, Jian Gong, Hongyu Guan, Sung Min Ha, Liangbing Hu, Ashley J. Welch and Dongjuan Xi. Their work appears in journals such as Optics and Lasers in Engineering, Measurement, Carbohydrate Polymers, Experimental Mechanics and Rare Metals.

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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