Mei Chen

1.4k citations
34 papers · 963 · h-index 15

Impact in

Papers in

Mei Chen

32 papers receiving 925 citations

Peers

Mei Chen
Comparison fields: 5 of 105
  • Biophysics 203
  • Computer Vision and Pattern Recognition 462
  • Media Technology 133
  • Biomedical Engineering 291
  • Artificial Intelligence 183
Replace Cecilia Di Ruberto with:
Cecilia Di Ruberto Italy
Yusuf Aytar United States
Aimi Salihah Abdul Nasir Malaysia
P. S. Hiremath India
Hengde Zhu United Kingdom
Abdullah Çalışkan Türkiye
Zi Wang China
Zedong Nie China
Malaya Kumar Nath India
Takuya Funatomi Japan
Mei Chen relative to Cecilia Di Ruberto Italy Cecilia Di Ruberto's profile →
Citations per field
00.5×3.8×
Cecilia Di Ruberto · 1×
Citations per year

Countries citing papers authored by Mei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008258
2 2010185
3 2009157
4 202239
5 200837
6 202127
7 201325
8 201624
9
3-d deformable registration using a statistical atlas with applications in medicine
199922
10 202320
11 199917
12 201617
13 201715
14 202115
15 201915
16 201312
17 201512
18 201811
19 20099
20 20167

About Mei Chen

Mei Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering and Electrical and Electronic Engineering, having authored 34 papers that have together received 963 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), Medical Image Segmentation Techniques (7 papers), AI in cancer detection (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Processing Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers), Advanced Measurement and Detection Methods (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Biophysics (203 citations), Computer Vision and Pattern Recognition (462 citations), Media Technology (133 citations), Biomedical Engineering (291 citations) and Artificial Intelligence (183 citations). Mei Chen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Rahul Sukthankar, Dean Pomerleau, Takeo Kanade, Shulin Yang, Eric D. Miller, Kang Li, Phil G. Campbell, Lee E. Weiss, Lei Yang and Wen Wu. Their work appears in journals such as International Journal of Computer Vision, Colloids and Surfaces A Physicochemical and Engineering Aspects, BMC Bioinformatics, IEEE Access and Pattern Recognition.

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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