Minmin Shen

610 citations
30 papers · 413 · h-index 12

Impact in

Papers in

Minmin Shen

29 papers receiving 405 citations

Peers

Minmin Shen
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 179
  • Cancer Research 95
  • Media Technology 46
  • Signal Processing 33
  • Otorhinolaryngology 9
Replace Chaoyi Lin with:
Chaoyi Lin China
Jianhong Cheng China
Tung-Yu Wu Taiwan
Kunbo Zhang China
Di You China
Xiaoling Luo China
Yu-Lun Liu Taiwan
Najah Alsubaie Saudi Arabia
Xiaoxiao Long Hong Kong
Minmin Shen relative to Chaoyi Lin China Chaoyi Lin's profile →
Citations per field
00.5×2.6×
Chaoyi Lin · 1×
Citations per year

Countries citing papers authored by Minmin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Minmin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201172
2 201845
3 202144
4 201728
5 202024
6 201724
7 201121
8 201820
9 200318
10 201916
11 202212
12 201512
13 20149
14 20168
15 20157
16 20107
17 20176
18 20106
19 20195
20 20085

About Minmin Shen

Minmin Shen is a scholar working on Computer Vision and Pattern Recognition, Surgery, Media Technology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (8 papers), Advanced Vision and Imaging (7 papers), Image and Signal Denoising Methods (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Image Processing Techniques and Applications (4 papers), Esophageal Cancer Research and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Cancer Research (95 citations), Media Technology (46 citations), Signal Processing (33 citations) and Otorhinolaryngology (9 citations). Minmin Shen has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Ping Xue, Ci Wang, Oliver Deußen, Yongjin Zhou, Huijun Ding, Dan Guo, Yongcan Xu, Lurong Zhang, Xuefei Shi and Ming Sun. Their work appears in journals such as Journal of Visual Communication and Image Representation, Radiation Oncology, Multimedia Tools and Applications, Molecular Therapy and IEEE Transactions on Consumer Electronics.

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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