Kunwei Li

8.4k citations
25 papers · 4.6k · 2 hit papers · h-index 10

Impact in

Papers in

Kunwei Li

23 papers receiving 4.5k citations

Kunwei Li's Hit Papers

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) 2020 · 1.9k citations
1.9k0+2+4Years since publication50010001.5k

Peers

Kunwei Li
Comparison fields: 5 of 117
  • Infectious Diseases 2.1k
  • Health Informatics 134
  • Critical Care and Intensive Care Medicine 442
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Neurology 514
Replace Mingqian Huang with:
Mingqian Huang United States
Adam Bernheim United States
Xueyan Mei United States
Adam Jacobi United States
Chenao Zhan China
Chong Chen China
Zhenlu Yang China
Wenzhi Lv China
Kunwei Li relative to Mingqian Huang United States Mingqian Huang's profile →
Citations per field
00.5×1.5×
Mingqian Huang · 1×
Citations per year

Countries citing papers authored by Kunwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Kunwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunwei 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 Kunwei Li Line = papers co-authored together Kunwei Li 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
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Hit paper breakdown →
20201874
2
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
Hit paper breakdown →
20201757
3 2020478
4 2020181
5 201953
6 202052
7 202050
8 202036
9 202131
10 202112
11 20239
12 20238
13 20247
14 20247
15 20246
16 20235
17 20214
18 20233
19 20223
20 20243

About Kunwei Li

Kunwei Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery and Neurology, having authored 25 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (3 papers), Nausea and vomiting management (1 paper), Enhanced Recovery After Surgery (1 paper), COVID-19 and healthcare impacts (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Infectious Diseases (2.1k citations), Health Informatics (134 citations), Critical Care and Intensive Care Medicine (442 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Neurology (514 citations). Kunwei Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shaolin Li, Mingqian Huang, Hong Shan, Adam Jacobi, Xueyan Mei, Ning Zhang, Zahi A. Fayad, Yang Yang, Adam Bernheim and Michael Chung. Their work appears in journals such as European Radiology, Cancer Imaging, Radiology, European Journal of Radiology and International Journal of Environmental Research and Public Health.

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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