Junying Wang
Impact in
- Water Science and Technology top 10%
- Water Quality and Pollution Assessment
- Water Resources and Sustainability
- Environmental Engineering top 10%
- Urban Stormwater Management Solutions
Papers in
-
- Evolutionary Algorithms and Applications 4
- Metaheuristic Optimization Algorithms Research 4
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Kun Song (2 shared papers)Liangjun Da (2 shared papers)Bai-Lian Li (1 shared paper)Dehua Li (4 shared papers)Xiaodong Yang (1 shared paper)Qiong Zhang (1 shared paper)Jihua Wang (1 shared paper)Yongfeng Du (1 shared paper)
- Journals
- Environmental Pollution (1 paper)The American Surgeon (1 paper)Evolutionary Intelligence (1 paper)Environment International (1 paper)Soft Computing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junying Wang
14 papers receiving 319 citations
Peers
Comparison fields: 5 of 83
- Water Science and Technology 126
- Environmental Engineering 75
- Geochemistry and Petrology 29
- Health, Toxicology and Mutagenesis 57
- Global and Planetary Change 86
Countries citing papers authored by Junying Wang
This map shows the geographic impact of Junying Wang'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 Junying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junying Wang more than expected).
Fields of papers citing papers by Junying Wang
This network shows the impact of papers produced by Junying Wang. 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 Junying Wang. The network helps show where Junying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junying Wang, 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 | 2007 | 209 | |
| 2 | 2011 | 40 | |
| 3 | 2011 | 19 | |
| 4 | 2023 | 14 | |
| 5 | 2012 | 12 | |
| 6 | 2014 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2015 | 3 | |
| 9 | 2009 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2018 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2018 | 1 | |
| 15 | Computer Network Security and Protection | 2011 | 0 |
| 16 | 2025 | 0 |
About Junying Wang
Junying Wang is a scholar working on Artificial Intelligence, Molecular Biology, Economics and Econometrics, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Air Quality and Health Impacts (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Energy, Environment, Economic Growth (2 papers), Soil and Land Suitability Analysis (1 paper), Water-Energy-Food Nexus Studies (1 paper) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Water Science and Technology (126 citations), Environmental Engineering (75 citations), Geochemistry and Petrology (29 citations), Health, Toxicology and Mutagenesis (57 citations) and Global and Planetary Change (86 citations). Junying Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kun Song, Liangjun Da, Bai-Lian Li, Dehua Li, Xiaodong Yang, Qiong Zhang, Jihua Wang, Yongfeng Du, Wenjiang Huang and Cunjun Li. Their work appears in journals such as Environmental Pollution, The American Surgeon, Evolutionary Intelligence, Environment International and Soft Computing.
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.