Liying Bin
Impact in
- Pollution top 1%
- Wastewater Treatment and Nitrogen Removal
- Pharmaceutical and Antibiotic Environmental Impacts
- Water Science and Technology top 2%
- Membrane Separation Technologies
- Adsorption and biosorption for pollutant removal
Papers in
- Pollution 39
- Wastewater Treatment and Nitrogen Removal 31
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- Membrane Separation Technologies 28
- Adsorption and biosorption for pollutant removal 6
- Co-authors
- Bing Tang (56 shared papers)Shaosong Huang (48 shared papers)Fenglian Fu (41 shared papers)Ping Li (14 shared papers)Qianyu Chen (4 shared papers)Cuiqun Chen (5 shared papers)Jiewei Ding (4 shared papers)Yiliang Zhao (3 shared papers)
In The Last Decade
Liying Bin
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Pollution 660
- Water Science and Technology 556
- Industrial and Manufacturing Engineering 274
- Health, Toxicology and Mutagenesis 174
- Metals and Alloys 22
Countries citing papers authored by Liying Bin
This map shows the geographic impact of Liying Bin'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 Liying Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liying Bin more than expected).
Fields of papers citing papers by Liying Bin
This network shows the impact of papers produced by Liying Bin. 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 Liying Bin. The network helps show where Liying Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Liying Bin, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2016 | 78 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 61 | |
| 5 | 2016 | 59 | |
| 6 | 2014 | 50 | |
| 7 | 2018 | 50 | |
| 8 | 2017 | 46 | |
| 9 | 2017 | 45 | |
| 10 | 2019 | 44 | |
| 11 | 2016 | 37 | |
| 12 | 2020 | 36 | |
| 13 | 2017 | 34 | |
| 14 | 2016 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2017 | 28 | |
| 17 | 2024 | 27 | |
| 18 | 2018 | 25 | |
| 19 | 2023 | 25 | |
| 20 | 2019 | 24 |
About Liying Bin
Liying Bin is a scholar working on Pollution, Water Science and Technology, Industrial and Manufacturing Engineering, Biomedical Engineering and Materials Chemistry, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (31 papers), Membrane Separation Technologies (28 papers), Constructed Wetlands for Wastewater Treatment (9 papers), Membrane-based Ion Separation Techniques (7 papers), Microbial Fuel Cells and Bioremediation (6 papers), Adsorption and biosorption for pollutant removal (6 papers), Phosphorus and nutrient management (6 papers) and Advanced Photocatalysis Techniques (5 papers). The work is most often cited by research in Pollution (660 citations), Water Science and Technology (556 citations), Industrial and Manufacturing Engineering (274 citations), Health, Toxicology and Mutagenesis (174 citations) and Metals and Alloys (22 citations). Liying Bin has collaborated with scholars based in China, Japan and Greece. Frequent co-authors include Bing Tang, Shaosong Huang, Fenglian Fu, Ping Li, Qianyu Chen, Cuiqun Chen, Ping Li, Jiewei Ding, Yiliang Zhao and Xianfeng Feng. Their work appears in journals such as Bioresource Technology, Chemical Engineering Journal, The Science of The Total Environment, Biochemical Engineering Journal and Journal of environmental chemical engineering.
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.