Donglai Wei

4.2k citations
69 papers · 1.6k · 1 hit paper · h-index 18

Impact in

Papers in

Donglai Wei

63 papers receiving 1.6k citations

Donglai Wei's Hit Papers

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification 2023 · 391 citations
3910+1+2Years since publication100200300

Peers

Donglai Wei
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 645
  • Health Informatics 35
  • Structural Biology 31
  • Media Technology 136
  • Artificial Intelligence 493
Replace Shuai Li with:
Shuai Li China
Ajay Shrestha United States
Xiaojuan Ban China
Liangqiong Qu China
Paul F. Whelan Ireland
Wenming Yang China
Chenglong Bao China
Khurram Khurshid Pakistan
Donglai Wei relative to Shuai Li China Shuai Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Donglai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Donglai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Hit paper breakdown →
2023391
2 2018162
3 2013137
4 2021112
5 202171
6 202266
7 201765
8 202164
9 200754
10 202043
11 202034
12 202332
13 202230
14 201029
15 202326
16 202321
17 202221
18 202220
19 202417
20 201417

About Donglai Wei

Donglai Wei is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Biomedical Engineering and Cognitive Neuroscience, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (12 papers), Advanced Neural Network Applications (7 papers), Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (6 papers), Advanced Electron Microscopy Techniques and Applications (6 papers), Anomaly Detection Techniques and Applications (5 papers), Image Processing Techniques and Applications (5 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Health Informatics (35 citations), Structural Biology (31 citations), Media Technology (136 citations) and Artificial Intelligence (493 citations). Donglai Wei has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Hanspeter Pfister, Jiancheng Yang, William T. Freeman, Bingbing Ni, Rui Shi, Lin Zhao, Zequan Liu, Jason S. Chang, John W. Fisher and Andrew Zisserman. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Pattern Analysis and Machine Intelligence, PeerJ Computer Science and Applied Surface Science.

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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