Tai Wei

28 papers receiving 498 citations

Tai Wei's Hit Papers

A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images 2025 · 20 citations
200Years since publication5101520

Peers

Tai Wei
Comparison fields: 5 of 82
  • Oral Surgery 73
  • Molecular Medicine 23
  • Urology 26
  • Cancer Research 52
  • Physiology 74
Replace Rao Fu with:
Rao Fu China
Jiaqi Shao China
Hideki Sudo Japan
Zainal Ariff Abdul Rahman Malaysia
Diya Zhang China
Cosmin Sinescu Romania
Weibin Sun China
Chengyue Wang China
Jin Hee Cho South Korea
Tai Wei relative to Rao Fu China Rao Fu's profile →
Citations per field
00.5×10×15×20×23×
Rao Fu · 1×
Citations per year

Countries citing papers authored by Tai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Tai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199156
2 201653
3 201647
4 202344
5 202237
6 201532
7 202130
8 201626
9 201824
10
A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images
Hit paper breakdown →
202520
11 202018
12 202115
13 202114
14 202314
15 202411
16 201710
17 202310
18 20178
19 20168
20 20246

About Tai Wei

Tai Wei is a scholar working on Molecular Biology, Oncology, Mechanics of Materials, Cancer Research and Surgery, having authored 35 papers that have together received 504 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (3 papers), Dental Implant Techniques and Outcomes (3 papers), Fatigue and fracture mechanics (3 papers), Olfactory and Sensory Function Studies (2 papers), Barrier Structure and Function Studies (2 papers), Advanced Neural Network Applications (2 papers), Salivary Gland Disorders and Functions (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Oral Surgery (73 citations), Molecular Medicine (23 citations), Urology (26 citations), Cancer Research (52 citations) and Physiology (74 citations). Tai Wei has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Li‐Ling Wu, Peng Ye, Guang‐Yan Yu, Xin Peng, Feng Sun, Guang‐Yan Yu, J Pittard, Kirby Siemering, Judyta Praszkier and Yu Ma. Their work appears in journals such as Journal of Craniofacial Surgery, Journal of Personalized Medicine, Oncotarget, Clinical Implant Dentistry and Related Research and Nature Communications.

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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