Weimin Li

460 papers receiving 10.3k citations

Weimin Li's Hit Papers

A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics 2023 · 193 citations
1930+1+3Years since publication50100150200

Peers

Weimin Li
Comparison fields: 5 of 200
  • Health Informatics 141
  • Cancer Research 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Pulmonary and Respiratory Medicine 2.0k
  • Oncology 1.6k
Replace Bin Zhang with:
Bin Zhang China
Yang Xie United States
Tong Liu China
Eun‐Kyung Kim South Korea
Jagat Narula United States
You‐Lin Qiao China
Matthieu Resche‐Rigon France
George D. Kitas United Kingdom
Victor J. Dzau United States
Li Li China
Weimin Li relative to Bin Zhang China Bin Zhang's profile →
Citations per field
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Bin Zhang · 1×
Citations per year

Countries citing papers authored by Weimin Li

Since Specialization
Citations

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

Fields of papers citing papers by Weimin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 487 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020341
2 2020240
3 2015220
4 2020219
5 2017211
6
COVID-19 in early 2021: current status and looking forward
Hit paper breakdown →
2021201
7
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hit paper breakdown →
2023193
8
A paper-based assay for the colorimetric detection of SARS-CoV-2 variants at single-nucleotide resolution
Hit paper breakdown →
2022158
9 2018151
10 2021142
11 2022131
12 2019120
13 2008120
14 2020115
15 2020114
16 2020111
17 2022110
18 2021106
19 201799
20 201799

About Weimin Li

Weimin Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 487 papers that have together received 10.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (54 papers), Lung Cancer Treatments and Mutations (42 papers), Radiomics and Machine Learning in Medical Imaging (40 papers), Cancer Immunotherapy and Biomarkers (26 papers), RNA modifications and cancer (21 papers), Cancer Genomics and Diagnostics (20 papers), COVID-19 Clinical Research Studies (18 papers) and Lung Cancer Research Studies (17 papers). The work is most often cited by research in Health Informatics (141 citations), Cancer Research (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Pulmonary and Respiratory Medicine (2.0k citations) and Oncology (1.6k citations). Weimin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chengdi Wang, Jun Shao, Bojiang Chen, Hui Deng, Dan Liu, Zhoufeng Wang, Panwen Tian, Kang Zhang, Jingwei Li and Dong Zhou. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Scientific Reports, Precision Clinical Medicine and BMC Cancer.

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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