Hao Wei

24 papers receiving 276 citations

Peers

Hao Wei
Comparison fields: 5 of 78
  • Ophthalmology 71
  • Health Informatics 11
  • Radiology, Nuclear Medicine and Imaging 128
  • Business and International Management 5
  • Computer Vision and Pattern Recognition 50
Replace Daniele M. S. Barros with:
Daniele M. S. Barros Brazil
Kaveri A. Thakoor United States
Chaithanya Ramachandra United States
Ahmed ElTanboly United States
Hiroki Enno Japan
Alexandre Chater Taleb Brazil
Hanpei Miao China
Robbert Struyven United Kingdom
Haroon Ahmed Khan Pakistan
Ryan T. Yanagihara United States
Hao Wei relative to Daniele M. S. Barros Brazil Daniele M. S. Barros's profile →
Citations per field
00.5×
Daniele M. S. Barros · 1×
Citations per year

Countries citing papers authored by Hao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201936
2 202032
3 202230
4 202028
5 202027
6 200818
7 202317
8 202014
9 201912
10 201910
11 20259
12 20208
13 20198
14 20248
15 20246
16 20185
17 20233
18 20212
19 20212
20 20052

About Hao Wei

Hao Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 25 papers that have together received 282 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (5 papers), Glaucoma and retinal disorders (4 papers), Optical Coherence Tomography Applications (4 papers), Digital Imaging for Blood Diseases (2 papers), Imbalanced Data Classification Techniques (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Ophthalmology (71 citations), Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (128 citations), Business and International Management (5 citations) and Computer Vision and Pattern Recognition (50 citations). Hao Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zailiang Chen, Peng Peng, Hailan Shen, José Alves, Carman Neustaedter, Elena Fedorovskaya, Feng Shi, Zhong Xue, Qingfeng Li and Rongchang Zhao. Their work appears in journals such as Computers in Biology and Medicine, Optics & Laser Technology, Computer Methods and Programs in Biomedicine, Journal of Central South University and Biomedical Optics Express.

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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