Bin Long
Impact in
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- Algal biology and biofuel production
- Environmental Chemistry top 10%
- Per- and polyfluoroalkyl substances research
Papers in
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- Photosynthetic Processes and Mechanisms 4
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- Quantum chaos and dynamical systems 4
- Co-authors
- Susie Y. Dai (7 shared papers)Joshua S. Yuan (5 shared papers)Jiali Yu (3 shared papers)Joshua S. Yuan (3 shared papers)Jinghao Li (1 shared paper)Bruce A. McCarl (1 shared paper)Peng Zhang (1 shared paper)Yabin Da (1 shared paper)
- Journals
- Nature Communications (2 papers)Structural Concrete (2 papers)Mathematical Methods in the Applied Sciences (1 paper)iScience (1 paper)Algal Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Long
22 papers receiving 331 citations
Peers
Comparison fields: 5 of 84
- Renewable Energy, Sustainability and the Environment 85
- Environmental Chemistry 51
- Industrial and Manufacturing Engineering 22
- Pollution 27
- Health, Toxicology and Mutagenesis 26
Countries citing papers authored by Bin Long
This map shows the geographic impact of Bin Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Long more than expected).
Fields of papers citing papers by Bin Long
This network shows the impact of papers produced by Bin Long. 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 Long. The network helps show where Bin Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Long, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 102 | |
| 2 | 2022 | 82 | |
| 3 | 2024 | 37 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2015 | 3 | |
| 16 | 2011 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2016 | 1 |
About Bin Long
Bin Long is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Renewable Energy, Sustainability and the Environment, Computer Networks and Communications and Civil and Structural Engineering, having authored 24 papers that have together received 339 indexed citations. Recurring topics across this work include Algal biology and biofuel production (5 papers), Quantum chaos and dynamical systems (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Advanced Differential Equations and Dynamical Systems (3 papers), Innovative concrete reinforcement materials (2 papers), Structural Behavior of Reinforced Concrete (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (85 citations), Environmental Chemistry (51 citations), Industrial and Manufacturing Engineering (22 citations), Pollution (27 citations) and Health, Toxicology and Mutagenesis (26 citations). Bin Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Susie Y. Dai, Joshua S. Yuan, Jiali Yu, Joshua S. Yuan, Jinghao Li, Bruce A. McCarl, Peng Zhang, Yabin Da, Xiaohan Li and Man Li. Their work appears in journals such as Nature Communications, Structural Concrete, Mathematical Methods in the Applied Sciences, iScience and Algal Research.
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.