Jin Li
Impact in
- Pollution top 0.5%
- Wastewater Treatment and Nitrogen Removal
-
- Water Treatment and Disinfection
Papers in
- Pollution 81
- Wastewater Treatment and Nitrogen Removal 68
- Pharmaceutical and Antibiotic Environmental Impacts 8
-
- Membrane Separation Technologies 25
- Co-authors
- Huiyu Dong (26 shared papers)Zhimin Qiang (19 shared papers)Dan Wang (10 shared papers)Peiyu Zhang (11 shared papers)Weiqiang Zhu (8 shared papers)Deshuang Yu (13 shared papers)Guanghao Chen (5 shared papers)Kai Sun (4 shared papers)
- Journals
- Bioresource Technology (16 papers)Chemical Engineering Journal (8 papers)The Science of The Total Environment (7 papers)Biodegradation (6 papers)Water Research (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Li
128 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Pollution 1.7k
- Health, Toxicology and Mutagenesis 673
- Waste Management and Disposal 429
- Water Science and Technology 650
- Environmental Engineering 644
Countries citing papers authored by Jin Li
This map shows the geographic impact of Jin Li'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 Jin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Li more than expected).
Fields of papers citing papers by Jin Li
This network shows the impact of papers produced by Jin Li. 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 Jin Li. The network helps show where Jin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Li, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2018 | 107 | |
| 3 | 2020 | 106 | |
| 4 | 2014 | 97 | |
| 5 | 2022 | 81 | |
| 6 | 2019 | 67 | |
| 7 | 2013 | 65 | |
| 8 | 2016 | 63 | |
| 9 | 2013 | 61 | |
| 10 | 2018 | 55 | |
| 11 | 2017 | 54 | |
| 12 | 2019 | 54 | |
| 13 | 2022 | 50 | |
| 14 | 2019 | 49 | |
| 15 | 2019 | 47 | |
| 16 | 2022 | 46 | |
| 17 | 2017 | 45 | |
| 18 | 2021 | 44 | |
| 19 | 2011 | 44 | |
| 20 | 2019 | 44 |
About Jin Li
Jin Li is a scholar working on Pollution, Water Science and Technology, Health, Toxicology and Mutagenesis, Catalysis and Waste Management and Disposal, having authored 133 papers that have together received 2.7k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (68 papers), Membrane Separation Technologies (25 papers), Microbial Community Ecology and Physiology (23 papers), Water Treatment and Disinfection (19 papers), Ammonia Synthesis and Nitrogen Reduction (19 papers), Microbial Fuel Cells and Bioremediation (17 papers), Constructed Wetlands for Wastewater Treatment (9 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). The work is most often cited by research in Pollution (1.7k citations), Health, Toxicology and Mutagenesis (673 citations), Waste Management and Disposal (429 citations), Water Science and Technology (650 citations) and Environmental Engineering (644 citations). Jin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huiyu Dong, Zhimin Qiang, Dan Wang, Peiyu Zhang, Weiqiang Zhu, Deshuang Yu, Guanghao Chen, Kai Sun, Yongzhen Peng and Lina Wu. Their work appears in journals such as Bioresource Technology, Chemical Engineering Journal, The Science of The Total Environment, Biodegradation and Water 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.