Bin Feng
- Geochemistry and Petrology top 10%
- Paleontology top 10%
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- Advanced machining processes and optimization 3
- Advanced Measurement and Metrology Techniques 3
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- Rangeland Management and Livestock Ecology 4
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- Botany and Plant Ecology Studies 3
- Smart Agriculture and AI 2
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- Soil Carbon and Nitrogen Dynamics 3
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- Ecology and Vegetation Dynamics Studies 3
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- Advanced Fiber Optic Sensors 2
- Co-authors
- Yuansheng DuJianghai YangJiaxin YanPeter A. CawoodJun YangChi MaHu ShiLiang Zhao
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Automatica (1 paper)Geology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Feng
46 papers receiving 453 citations
Peers
Comparison fields: 5 of 92
- Geochemistry and Petrology 67
- Paleontology 72
- Mechanical Engineering 145
- Atmospheric Science 63
- Industrial and Manufacturing Engineering 30
Countries citing papers authored by Bin Feng
This map shows the geographic impact of Bin Feng'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 Bin Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Feng more than expected).
Fields of papers citing papers by Bin Feng
This network shows the impact of papers produced by Bin Feng. 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 Bin Feng. The network helps show where Bin Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Feng, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 3 | |
| 15 | A review of research on terrestrial protected area management in the context of climate change. | 2016 | 1 |
| 16 | 2014 | 14 | |
| 17 | United Simulation about CNC Machine Tool Feed Drive System Based on ADAMS and MATLAB | 2013 | 1 |
| 18 | An effective CLEAN algorithm for interference cancellation and weak target detection in passive radar | 2013 | 14 |
| 19 | Influencing factors on city color tone | 2011 | 1 |
| 20 | Discussion on Proliferation Mechanism of Significant Thunderbolt in Cities | 2006 | 1 |
About Bin Feng
Bin Feng is a scholar working on Energy Engineering and Power Technology, Management, Monitoring, Policy and Law and Nature and Landscape Conservation, having authored 55 papers that have together received 467 indexed citations. Recurring topics across this work include Rangeland Management and Livestock Ecology (4 papers), Botany and Plant Ecology Studies (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Advanced machining processes and optimization (3 papers), Advanced Measurement and Metrology Techniques (3 papers), Advanced Fiber Optic Sensors (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Geochemistry and Petrology (67 citations), Paleontology (72 citations) and Mechanical Engineering (145 citations). Bin Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuansheng Du, Jianghai Yang, Jiaxin Yan, Peter A. Cawood, Jun Yang, Chi Ma, Hu Shi, Liang Zhao, Xuesong Mei and Yujing Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Automatica and Geology.
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.