Jingyun Liu
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- Air Quality and Health Impacts 8
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols 8
- Environmental Engineering top 5%
- Organic Chemistry top 5%
- Catalytic C–H Functionalization Methods 6
- Water Science and Technology top 10%
- Membrane Separation Technologies 13
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- Biofuel production and bioconversion 10
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- Membrane Separation and Gas Transport 7
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- Polymer composites and self-healing 7
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- Microbial Metabolic Engineering and Bioproduction 6
- Journals
- The Science of The Total Environment (2 papers)Journal of Power Sources (1 paper)Bioresource Technology (3 papers)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Jingyun Liu
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Health, Toxicology and Mutagenesis 445
- Atmospheric Science 465
- Environmental Engineering 247
- Organic Chemistry 453
- Water Science and Technology 157
Countries citing papers authored by Jingyun Liu
This map shows the geographic impact of Jingyun Liu'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 Jingyun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyun Liu more than expected).
Fields of papers citing papers by Jingyun Liu
This network shows the impact of papers produced by Jingyun Liu. 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 Jingyun Liu. The network helps show where Jingyun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingyun Liu, 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 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 46 | |
| 17 | 2021 | 47 | |
| 18 | 2018 | 48 | |
| 19 | 2017 | 7 | |
| 20 | An Adaptive SAR Image Speckle Reduction Algorithm Based on Wavelet Transform and Partial Differential Equations | 2014 | 1 |
About Jingyun Liu
Jingyun Liu is a scholar working on Chemical Health and Safety, Water Science and Technology and Health, Toxicology and Mutagenesis, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Membrane Separation Technologies (13 papers), Biofuel production and bioconversion (10 papers), Air Quality and Health Impacts (8 papers), Atmospheric chemistry and aerosols (8 papers), Membrane Separation and Gas Transport (7 papers), Polymer composites and self-healing (7 papers), Catalytic C–H Functionalization Methods (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (445 citations), Atmospheric Science (465 citations) and Environmental Engineering (247 citations). Jingyun Liu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Hua Cao, Zeyi Xiao, Senqing Fan, Zirui Liu, Yuesi Wang, Longbin Chen, Sai Lei, Huiyin Cai, Xiaojuan Huang and Boya Qiu. Their work appears in journals such as The Science of The Total Environment, Journal of Power Sources and Bioresource Technology.
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.