Wei Dong

87 papers receiving 1.4k citations

Peers

Wei Dong
Comparison fields: 5 of 151
  • Health Information Management 282
  • Health Informatics 58
  • Artificial Intelligence 613
  • Cardiology and Cardiovascular Medicine 267
  • Management Information Systems 84
Replace David Madigan with:
David Madigan United States
Cristina Soguero-Ruíz Spain
Juan Zhao United States
Sherif Sakr Australia
You Chen United States
Jianying Hu United States
Zhengxing Huang China
Arianna Dagliati Italy
Thomas Ganslandt Germany
Guotong Xie China
Wei Dong relative to David Madigan United States David Madigan's profile →
Citations per field
00.5×3.8×
David Madigan · 1×
Citations per year

Countries citing papers authored by Wei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 2018121
3 201394
4 201761
5 202053
6 201452
7 201747
8 201346
9 201538
10 199836
11 201929
12 201828
13 201827
14 201526
15 201626
16 202226
17 202225
18 202023
19 201522
20 202222

About Wei Dong

Wei Dong is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Health Information Management, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (27 papers), Cardiac Imaging and Diagnostics (12 papers), Artificial Intelligence in Healthcare (12 papers), Biomedical Text Mining and Ontologies (11 papers), Heart Failure Treatment and Management (9 papers), Clinical practice guidelines implementation (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Health Information Management (282 citations), Health Informatics (58 citations), Artificial Intelligence (613 citations), Cardiology and Cardiovascular Medicine (267 citations) and Management Information Systems (84 citations). Wei Dong has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Zhengxing Huang, Huilong Duan, Lei Ji, Xudong Lü, Vacha Dave, Yin Zhang⋆, Lili Qiu, Kunlun He, Zhaohui Jiang and Yunyun Sun. Their work appears in journals such as Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, IEEE Journal of Biomedical and Health Informatics, Journal of Zhejiang University SCIENCE B and Frontiers in Medicine.

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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