Kunwei Li

8.3k total citations · 3 hit papers
22 papers, 4.5k citations indexed

About

Kunwei Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Kunwei Li has authored 22 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 5 papers in Infectious Diseases. Recurrent topics in Kunwei Li's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (12 papers) and COVID-19 diagnosis using AI (7 papers). Kunwei Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (12 papers) and COVID-19 diagnosis using AI (7 papers). Kunwei Li collaborates with scholars based in China, United States and United Kingdom. Kunwei Li's co-authors include Shaolin Li, Mingqian Huang, Hong Shan, Xueyan Mei, Adam Bernheim, Michael Chung, Adam Jacobi, Ning Zhang, Zahi A. Fayad and Yang Yang and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Microbiology.

In The Last Decade

Kunwei Li

22 papers receiving 4.4k citations

Hit Papers

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) 2020 2026 2022 2024 2020 2020 2020 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
    2020 1.9k citations Michael Chung, Adam Bernheim et al. Radiology profile →
  2. Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
    2020 1.7k citations Adam Bernheim, Xueyan Mei et al. Radiology profile →
  3. CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)
    2020 476 citations Kunwei Li, Yijie Fang et al. European Radiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kunwei Li China 10 2.9k 2.4k 825 786 698 22 4.5k
Adam Bernheim United States 17 3.1k 1.1× 2.5k 1.0× 801 1.0× 873 1.1× 808 1.2× 43 5.0k
Adam Jacobi United States 17 3.1k 1.1× 2.4k 1.0× 800 1.0× 879 1.1× 789 1.1× 60 5.1k
Mingqian Huang United States 16 2.9k 1.0× 2.3k 0.9× 833 1.0× 641 0.8× 699 1.0× 45 4.7k
Xueyan Mei United States 10 2.5k 0.9× 2.1k 0.8× 690 0.8× 578 0.7× 608 0.9× 29 4.0k
Chenao Zhan China 10 2.5k 0.9× 2.2k 0.9× 639 0.8× 494 0.6× 843 1.2× 15 4.4k
Tao Ai China 22 3.4k 1.2× 2.1k 0.9× 538 0.7× 636 0.8× 894 1.3× 79 5.5k
Chong Chen China 8 2.4k 0.8× 2.0k 0.8× 463 0.6× 509 0.6× 787 1.1× 12 4.0k
Zhenlu Yang China 10 2.4k 0.8× 1.9k 0.8× 429 0.5× 490 0.6× 806 1.2× 17 4.2k

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-authorship network of co-authors of Kunwei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kunwei Li. A scholar is included among the top collaborators of Kunwei Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunwei Li. Kunwei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Shuaitong, Kunwei Li, Yuchen Sun, et al.. (2024). Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study. International Journal of Radiation Oncology*Biology*Physics. 119(5). 1590–1600. 5 indexed citations
2.
Wang, Yübo, et al.. (2024). Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures. La radiologia medica. 129(2). 239–251. 3 indexed citations
3.
Feng, Bao, Yehang Chen, Xiaojuan Chen, et al.. (2024). Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer. Cancer Imaging. 24(1). 140–140. 4 indexed citations
4.
5.
Chen, Xiangmeng, Bao Feng, Yehang Chen, et al.. (2023). Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. European Radiology. 33(10). 6804–6816. 8 indexed citations
6.
Feng, Bao, Xiangmeng Chen, Yehang Chen, et al.. (2023). Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning. Cancers. 15(3). 892–892. 8 indexed citations
7.
Cai, Zhiyuan, Ping Li, Wen Zhu, et al.. (2023). Metagenomic analysis reveals gut plasmids as diagnosis markers for colorectal cancer. Frontiers in Microbiology. 14. 1130446–1130446. 3 indexed citations
8.
Li, Kunwei, Shuaitong Zhang, Yi Hu, et al.. (2023). Radiomics Nomogram with Added Nodal Features Improves Treatment Response Prediction in Locally Advanced Esophageal Squamous Cell Carcinoma: A Multicenter Study. Annals of Surgical Oncology. 30(13). 8231–8243. 4 indexed citations
9.
Chen, Xiangmeng, Bao Feng, Yehang Chen, et al.. (2021). A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma. European Journal of Radiology. 145. 110041–110041. 4 indexed citations
10.
Liu, Kunfeng, Kunwei Li, Tingfan Wu, et al.. (2021). Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT. European Radiology. 32(2). 1065–1077. 27 indexed citations
11.
Li, Kunwei, Xueguo Liu, Rowena Yip, et al.. (2021). Early prediction of severity in coronavirus disease (COVID-19) using quantitative CT imaging. Clinical Imaging. 78. 223–229. 12 indexed citations
12.
Feng, Bao, Xiangmeng Chen, Yehang Chen, et al.. (2020). Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule. European Journal of Radiology. 128. 109022–109022. 48 indexed citations
13.
Feng, Bao, Yehang Chen, Kunfeng Liu, et al.. (2020). Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas. European Radiology. 30(12). 6497–6507. 50 indexed citations
14.
Chung, Michael, Adam Bernheim, Xueyan Mei, et al.. (2020). CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology. 295(1). 202–207. 1865 indexed citations breakdown →
15.
Chen, Xiangmeng, Bao Feng, Yehang Chen, et al.. (2020). A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules. Cancer Imaging. 20(1). 45–45. 35 indexed citations
16.
Bernheim, Adam, Xueyan Mei, Mingqian Huang, et al.. (2020). Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection. Radiology. 295(3). 200463–200463. 1745 indexed citations breakdown →
17.
Li, Kunwei, Yijie Fang, Wenjuan Li, et al.. (2020). CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). European Radiology. 30(8). 4407–4416. 476 indexed citations breakdown →
18.
Li, Wei, et al.. (2020). Chest computed tomography in children with COVID-19 respiratory infection. Pediatric Radiology. 50(6). 796–799. 180 indexed citations
19.
Chen, Huan, Mingzhu Liang, Kunwei Li, et al.. (2019). Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening. Quantitative Imaging in Medicine and Surgery. 9(2). 263–272. 51 indexed citations
20.
Liang, Mingzhu, Xueguo Liu, Weidong Li, et al.. (2011). Evaluating the growth of pulmonary nodular ground-glass opacity on CT: Comparison of volume rendering and thin slice images. Journal of Huazhong University of Science and Technology [Medical Sciences]. 31(6). 846–851. 1 indexed citations

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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