Junfeng Ge
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
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- Recommender Systems and Techniques 5
- Web Data Mining and Analysis 1
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- Text and Document Classification Technologies 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Wenwu Ou (3 shared papers)Hui Xiong (2 shared papers)Qunye Zhang (2 shared papers)Wenhui Yu (2 shared papers)Zheng Qin (2 shared papers)Xiaowei Wang (1 shared paper)Zhe Wang (1 shared paper)Jing Gao (1 shared paper)
- Journals
- Scientific Reports (2 papers)Endocrinology (1 paper)The American Journal of the Medical Sciences (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaHong KongBangladesh
In The Last Decade
Junfeng Ge
11 papers receiving 214 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 62
- Information Systems 82
- Artificial Intelligence 74
- Management Science and Operations Research 17
- Internal Medicine 4
Countries citing papers authored by Junfeng Ge
This map shows the geographic impact of Junfeng Ge'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 Junfeng Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Ge more than expected).
Fields of papers citing papers by Junfeng Ge
This network shows the impact of papers produced by Junfeng Ge. 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 Junfeng Ge. The network helps show where Junfeng Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Ge, 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 | 2017 | 76 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 29 | |
| 4 | 2023 | 25 | |
| 5 | 2021 | 21 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 0 |
About Junfeng Ge
Junfeng Ge is a scholar working on Information Systems, Artificial Intelligence, Cancer Research, Management Science and Operations Research and Computer Networks and Communications, having authored 13 papers that have together received 218 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Advanced Bandit Algorithms Research (2 papers), Text and Document Classification Technologies (2 papers), Hand Gesture Recognition Systems (1 paper), Web Data Mining and Analysis (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Cancer Research (62 citations), Information Systems (82 citations), Artificial Intelligence (74 citations), Management Science and Operations Research (17 citations) and Internal Medicine (4 citations). Junfeng Ge has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Wenwu Ou, Hui Xiong, Qunye Zhang, Wenhui Yu, Zheng Qin, Xiaowei Wang, Zhe Wang, Jing Gao, Zongwei Lin and Yan Zhang. Their work appears in journals such as Scientific Reports, Endocrinology, The American Journal of the Medical Sciences, IEEE Transactions on Knowledge and Data Engineering and Journal of Cellular and Molecular Medicine.
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.