Junjie Li
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
- Epidemiology 18
- Liver Disease Diagnosis and Treatment 10
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- AI in cancer detection 4
- Metaheuristic Optimization Algorithms Research 3
- Co-authors
- Fei Kang (4 shared papers)Haojin Li (2 shared papers)Sizeng Zhao (1 shared paper)Zhiyong Liang (7 shared papers)Sheng Bi (1 shared paper)Zi-Ke Sheng (2 shared papers)Jifang Sheng (1 shared paper)Jiajie Zhang (1 shared paper)
In The Last Decade
Junjie Li
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 137
- Molecular Medicine 156
- Endocrinology 74
- Artificial Intelligence 430
- Geology 72
- Computational Theory and Mathematics 148
Countries citing papers authored by Junjie Li
This map shows the geographic impact of Junjie 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 Junjie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Li more than expected).
Fields of papers citing papers by Junjie Li
This network shows the impact of papers produced by Junjie 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 Junjie Li. The network helps show where Junjie Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjie 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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 284 | |
| 2 | 2013 | 157 | |
| 3 | 2021 | 139 | |
| 4 | 2013 | 107 | |
| 5 | 2018 | 52 | |
| 6 | 2021 | 47 | |
| 7 | 2010 | 39 | |
| 8 | 2021 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2021 | 11 | |
| 20 | Increased expression of osteopontin indicates poor prognosis in hepatocellular carcinoma. | 2018 | 11 |
About Junjie Li
Junjie Li is a scholar working on Epidemiology, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Oncology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), AI in cancer detection (4 papers), Remote-Sensing Image Classification (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Molecular Medicine (156 citations), Endocrinology (74 citations), Artificial Intelligence (430 citations), Geology (72 citations) and Computational Theory and Mathematics (148 citations). Junjie Li has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Fei Kang, Haojin Li, Sizeng Zhao, Zhiyong Liang, Sheng Bi, Zi-Ke Sheng, Jifang Sheng, Jiajie Zhang, Wei Chen and Lanjuan Li. Their work appears in journals such as Journal of Ethnopharmacology, Journal of Translational Medicine, Chinese Medicine, Frontiers in Oncology and Information Sciences.
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.