Bingxin Wei
Impact in
- Water Science and Technology top 10%
- Membrane Separation Technologies
Papers in
-
- Advanced Steganography and Watermarking Techniques 2
- Digital Media Forensic Detection 2
- Image and Signal Denoising Methods 2
-
- Fuel Cells and Related Materials 2
- Advancements in Battery Materials 2
- Co-authors
- Yingfei Hou (5 shared papers)Q. Jason Niu (3 shared papers)Kuo Chen (3 shared papers)Pengfei Li (2 shared papers)Hongling Lan (1 shared paper)Lin Zhao (2 shared papers)Ming Wang (1 shared paper)Ting-Jie Wang (2 shared papers)
- Journals
- Journal of Membrane Science (2 papers)Separation and Purification Technology (2 papers)Neurocomputing (1 paper)Multimedia Tools and Applications (1 paper)Desalination (1 paper)
- Partner nations
- ChinaSouth KoreaGermany
In The Last Decade
Bingxin Wei
18 papers receiving 287 citations
Peers
Comparison fields: 5 of 65
- Water Science and Technology 129
- Computational Mathematics 5
- Hardware and Architecture 17
- Renewable Energy, Sustainability and the Environment 40
- Biomedical Engineering 102
Countries citing papers authored by Bingxin Wei
This map shows the geographic impact of Bingxin Wei'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 Bingxin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxin Wei more than expected).
Fields of papers citing papers by Bingxin Wei
This network shows the impact of papers produced by Bingxin Wei. 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 Bingxin Wei. The network helps show where Bingxin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxin Wei, 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 | 2021 | 95 | |
| 2 | 2013 | 49 | |
| 3 | 2022 | 34 | |
| 4 | 2019 | 18 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 13 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2011 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 |
About Bingxin Wei
Bingxin Wei is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Water Science and Technology, Biomedical Engineering and Computer Networks and Communications, having authored 19 papers that have together received 293 indexed citations. Recurring topics across this work include Membrane Separation Technologies (4 papers), Fuel Cells and Related Materials (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Digital Media Forensic Detection (2 papers), Image and Signal Denoising Methods (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advancements in Battery Materials (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Water Science and Technology (129 citations), Computational Mathematics (5 citations), Hardware and Architecture (17 citations), Renewable Energy, Sustainability and the Environment (40 citations) and Biomedical Engineering (102 citations). Bingxin Wei has collaborated with scholars based in China, South Korea and Germany. Frequent co-authors include Yingfei Hou, Q. Jason Niu, Kuo Chen, Pengfei Li, Hongling Lan, Lin Zhao, Ming Wang, Ting-Jie Wang, Yong Jin and Haixia Wu. Their work appears in journals such as Journal of Membrane Science, Separation and Purification Technology, Neurocomputing, Multimedia Tools and Applications and Desalination.
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.