Chunli Wan
- Pollution top 0.2%
- Wastewater Treatment and Nitrogen Removal 55
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- Constructed Wetlands for Wastewater Treatment 8
- Water Science and Technology top 0.5%
- Membrane Separation Technologies 21
- Adsorption and biosorption for pollutant removal 11
- Advanced oxidation water treatment 9
- Building and Construction top 1%
- Anaerobic Digestion and Biogas Production 22
- Environmental Engineering top 2%
- Microbial Fuel Cells and Bioremediation 20
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- Microbial Community Ecology and Physiology 16
Chunli Wan
109 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 111
- Pollution 2.2k
- Industrial and Manufacturing Engineering 1.1k
- Water Science and Technology 1.4k
- Building and Construction 637
- Environmental Engineering 609
Countries citing papers authored by Chunli Wan
This map shows the geographic impact of Chunli Wan'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 Chunli Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Wan more than expected).
Fields of papers citing papers by Chunli Wan
This network shows the impact of papers produced by Chunli Wan. 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 Chunli Wan. The network helps show where Chunli Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunli Wan, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 59 | |
| 8 | 2019 | 32 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 12 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 28 | |
| 14 | 2015 | 50 | |
| 15 | 2014 | 32 | |
| 16 | 2014 | 47 | |
| 17 | 2014 | 30 | |
| 18 | 2013 | 51 | |
| 19 | 2012 | 17 | |
| 20 | 2006 | 6 |
About Chunli Wan
Chunli Wan is a scholar working on Pollution, Water Science and Technology, Industrial and Manufacturing Engineering, Building and Construction and Environmental Engineering, having authored 112 papers that have together received 3.9k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (55 papers), Anaerobic Digestion and Biogas Production (22 papers), Membrane Separation Technologies (21 papers), Microbial Fuel Cells and Bioremediation (20 papers), Microbial Community Ecology and Physiology (16 papers), Adsorption and biosorption for pollutant removal (11 papers), Advanced oxidation water treatment (9 papers) and Constructed Wetlands for Wastewater Treatment (8 papers). The work is most often cited by research in Pollution (2.2k citations), Industrial and Manufacturing Engineering (1.1k citations), Water Science and Technology (1.4k citations), Building and Construction (637 citations) and Environmental Engineering (609 citations). Chunli Wan has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Duu‐Jong Lee, Xiang Liu, Zhengwen Li, Xue Yang, Joo‐Hwa Tay, Supu Sun, Chen Zhang, Xuejun Tan, Xiang Liu and Zhongfang Lei. Their work appears in journals such as Bioresource Technology, Journal of Environmental Management, The Science of The Total Environment, Journal of the Taiwan Institute of Chemical Engineers and Environmental 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.