Zejun Li
Impact in
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- Cancer, Hypoxia, and Metabolism
- Economics and Econometrics top 10%
- Energy, Environment, Economic Growth
- Climate Change Policy and Economics
Papers in
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- Multimodal Machine Learning Applications 4
- Face and Expression Recognition 2
-
- Domain Adaptation and Few-Shot Learning 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Shanyong Wang (1 shared paper)Chengyuan Wang (1 shared paper)Liang Wan (1 shared paper)Taiwei Chu (3 shared papers)Xiangyun Wang (3 shared papers)Lihong Peng (3 shared papers)Bo Liao (2 shared papers)Wen Zhu (2 shared papers)
- Journals
- Scientific Reports (2 papers)Nuclear Medicine and Biology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Data Intelligence (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zejun Li
17 papers receiving 288 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 48
- Economics and Econometrics 80
- Computational Theory and Mathematics 45
- Radiology, Nuclear Medicine and Imaging 50
- Environmental Engineering 32
Countries citing papers authored by Zejun Li
This map shows the geographic impact of Zejun 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 Zejun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zejun Li more than expected).
Fields of papers citing papers by Zejun Li
This network shows the impact of papers produced by Zejun 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 Zejun Li. The network helps show where Zejun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zejun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2015 | 65 | |
| 3 | 2011 | 41 | |
| 4 | 2005 | 28 | |
| 5 | 2021 | 22 | |
| 6 | 2018 | 12 | |
| 7 | 2015 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2007 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2013 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Zejun Li
Zejun Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Economics and Econometrics and Electrical and Electronic Engineering, having authored 19 papers that have together received 291 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Topic Modeling (3 papers), Energy Load and Power Forecasting (2 papers), Face and Expression Recognition (2 papers), Natural Language Processing Techniques (2 papers) and Energy, Environment, Economic Growth (2 papers). The work is most often cited by research in Cancer Research (48 citations), Economics and Econometrics (80 citations), Computational Theory and Mathematics (45 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Environmental Engineering (32 citations). Zejun Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shanyong Wang, Chengyuan Wang, Liang Wan, Taiwei Chu, Xiangyun Wang, Lihong Peng, Bo Liao, Wen Zhu, Keqin Li and Hao Zhou. Their work appears in journals such as Scientific Reports, Nuclear Medicine and Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Data Intelligence and IEEE Journal of Biomedical and Health Informatics.
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.