Datong Wei

1.5k citations
23 papers · 1.2k · h-index 12

Impact in

Papers in

Datong Wei

23 papers receiving 1.2k citations

Peers

Datong Wei
Comparison fields: 5 of 98
  • Artificial Intelligence 888
  • Computer Vision and Pattern Recognition 538
  • Radiology, Nuclear Medicine and Imaging 498
  • Health Informatics 15
  • Media Technology 89
Replace Yongyi Yang with:
Yongyi Yang United States
Michael D. Heath United States
Lena Costaridou Greece
Dibendu Betal United Kingdom
Ari Seff United States
Jyh-Shyan Lin United States
Amal Farag United States
Miguel Souto Spain
Shih‐Chung B. Lo United States
Datong Wei relative to Yongyi Yang United States Yongyi Yang's profile →
Citations per field
00.5×1.5×1.9×
Yongyi Yang · 1×
Citations per year

Countries citing papers authored by Datong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Datong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Datong 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 Datong Wei Line = papers co-authored together Datong Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996354
2 1995180
3 1996167
4 1996121
5 199599
6 199692
7 199750
8 202042
9 199527
10 202216
11 199016
12 200211
13 19958
14 19958
15 19957
16 20217
17 20216
18 19955
19 19955
20 19944

About Datong Wei

Datong Wei is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Ultrasound and Hyperthermia Applications (3 papers), Infrared Thermography in Medicine (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Gene expression and cancer classification (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (888 citations), Computer Vision and Pattern Recognition (538 citations), Radiology, Nuclear Medicine and Imaging (498 citations), Health Informatics (15 citations) and Media Technology (89 citations). Datong Wei has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, Mitchell M. Goodsitt, Stephen C. Jones, Xiaoru Yuan, Can Liu and Yun Han. Their work appears in journals such as Medical Physics, IEEE Transactions on Medical Imaging, Journal of Cerebral Blood Flow & Metabolism, IEEE Transactions on Biomedical Engineering and Physics in Medicine and Biology.

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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