Yanfeng Wang
Impact in
- Environmental Engineering top 10%
- Microbial Fuel Cells and Bioremediation
Papers in
-
- Advanced Memory and Neural Computing 5
-
- Microbial Fuel Cells and Bioremediation 4
- Co-authors
- Xiaolong He (2 shared papers)Xiukang Wang (2 shared papers)Yingying Xing (2 shared papers)Ping Huang (4 shared papers)Dongsheng Shen (4 shared papers)Yi Wang (1 shared paper)Tao Guo (1 shared paper)Huajun Feng (4 shared papers)
- Journals
- IEEE Transactions on Industrial Informatics (2 papers)IEEE Transactions on Circuits and Systems I Regular Papers (2 papers)Energy & Fuels (2 papers)Applied Microbiology and Biotechnology (1 paper)Atmospheric and Oceanic Science Letters (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Yanfeng Wang
36 papers receiving 437 citations
Peers
Comparison fields: 5 of 82
- Nuclear Energy and Engineering 11
- Environmental Engineering 115
- Physiology 18
- Soil Science 38
- Pollution 44
Countries citing papers authored by Yanfeng Wang
This map shows the geographic impact of Yanfeng Wang'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 Yanfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanfeng Wang more than expected).
Fields of papers citing papers by Yanfeng Wang
This network shows the impact of papers produced by Yanfeng Wang. 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 Yanfeng Wang. The network helps show where Yanfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanfeng Wang, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 70 | |
| 2 | 2020 | 67 | |
| 3 | 2019 | 44 | |
| 4 | 2017 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2025 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2025 | 13 | |
| 13 | 2024 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2011 | 9 | |
| 17 | 2013 | 8 | |
| 18 | 2018 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2019 | 4 |
About Yanfeng Wang
Yanfeng Wang is a scholar working on Electrical and Electronic Engineering, Environmental Engineering, Global and Planetary Change, Radiation and Artificial Intelligence, having authored 42 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Radiation Detection and Scintillator Technologies (4 papers), Microbial Fuel Cells and Bioremediation (4 papers), Neural Networks and Applications (4 papers), Climate variability and models (4 papers), Nuclear Physics and Applications (4 papers), Oceanographic and Atmospheric Processes (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Nuclear Energy and Engineering (11 citations), Environmental Engineering (115 citations), Physiology (18 citations), Soil Science (38 citations) and Pollution (44 citations). Yanfeng Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Xiaolong He, Xiukang Wang, Yingying Xing, Ping Huang, Dongsheng Shen, Yi Wang, Tao Guo, Huajun Feng, Kun Guo and Yuxiang Liang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Circuits and Systems I Regular Papers, Energy & Fuels, Applied Microbiology and Biotechnology and Atmospheric and Oceanic Science Letters.
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.