Jun Fang
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
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- Landslides and related hazards
Papers in
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- Granular flow and fluidized beds 7
- Advanced Adaptive Filtering Techniques 3
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- Landslides and related hazards 9
- Co-authors
- M Wahl (2 shared papers)Jeffrey E. Ming (1 shared paper)Mortimer Poncz (1 shared paper)Betty Y.L. Hsu (1 shared paper)Benjamin Gläser (1 shared paper)Charles A. Stanley (1 shared paper)Yifei Cui (8 shared papers)Feiying Gu (1 shared paper)
- Journals
- Computers and Geotechnics (3 papers)Engineering Geology (2 papers)Journal of Biological Chemistry (2 papers)Bioscience Reports (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Fang
35 papers receiving 846 citations
Peers
Comparison fields: 5 of 108
- Cancer Research 171
- Management, Monitoring, Policy and Law 97
- Biochemistry 49
- Endocrinology, Diabetes and Metabolism 102
- Molecular Biology 407
Countries citing papers authored by Jun Fang
This map shows the geographic impact of Jun Fang'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 Jun Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fang more than expected).
Fields of papers citing papers by Jun Fang
This network shows the impact of papers produced by Jun Fang. 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 Jun Fang. The network helps show where Jun Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Fang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2000 | 143 | |
| 3 | 2020 | 95 | |
| 4 | 2018 | 87 | |
| 5 | 2004 | 74 | |
| 6 | 2018 | 56 | |
| 7 | 2021 | 37 | |
| 8 | 2024 | 32 | |
| 9 | 2017 | 25 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 19 | |
| 12 | Efficiency and structure-activity relationship of the antioxidant action of resveratrol and its analogs. | 2002 | 19 |
| 13 | 2023 | 16 | |
| 14 | 2017 | 13 | |
| 15 | 2023 | 11 | |
| 16 | 2025 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2014 | 5 | |
| 20 | 2015 | 5 |
About Jun Fang
Jun Fang is a scholar working on Computational Mechanics, Management, Monitoring, Policy and Law, Molecular Biology, Ecology and Signal Processing, having authored 35 papers that have together received 861 indexed citations. Recurring topics across this work include Landslides and related hazards (9 papers), Granular flow and fluidized beds (7 papers), Hydrology and Sediment Transport Processes (5 papers), Advanced Adaptive Filtering Techniques (3 papers), Speech and Audio Processing (3 papers), Blind Source Separation Techniques (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Rock Mechanics and Modeling (2 papers). The work is most often cited by research in Cancer Research (171 citations), Management, Monitoring, Policy and Law (97 citations), Biochemistry (49 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Molecular Biology (407 citations). Jun Fang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include M Wahl, Jeffrey E. Ming, Mortimer Poncz, Betty Y.L. Hsu, Benjamin Gläser, Charles A. Stanley, Yifei Cui, Feiying Gu, Dong Liu and Zhigang Chen. Their work appears in journals such as Computers and Geotechnics, Engineering Geology, Journal of Biological Chemistry, Bioscience Reports and IEEE Transactions on Signal Processing.
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.