Junshan Wang
Impact in
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
- Wind and Air Flow Studies
-
- Air Quality and Health Impacts
Papers in
-
- Advanced Graph Neural Networks 7
- Machine Learning and ELM 2
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- Complex Network Analysis Techniques 7
- Co-authors
- Guojie Song (8 shared papers)Lun Du (4 shared papers)Zhicong Lu (2 shared papers)Yun Wang (2 shared papers)Fengqi Si (4 shared papers)Huan Ma (4 shared papers)Wee Peng Tay (2 shared papers)Wenhao Zhu (1 shared paper)
- Journals
- International Journal of Thermal Sciences (2 papers)Applied Thermal Engineering (1 paper)International Journal of Heat and Mass Transfer (1 paper)Neurocomputing (1 paper)Statistics and Computing (1 paper)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Junshan Wang
21 papers receiving 483 citations
Peers
Comparison fields: 5 of 75
- Environmental Engineering 201
- Health, Toxicology and Mutagenesis 127
- Statistical and Nonlinear Physics 110
- Artificial Intelligence 197
- Automotive Engineering 65
Countries citing papers authored by Junshan Wang
This map shows the geographic impact of Junshan 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 Junshan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junshan Wang more than expected).
Fields of papers citing papers by Junshan Wang
This network shows the impact of papers produced by Junshan 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 Junshan Wang. The network helps show where Junshan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junshan 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 146 | |
| 2 | 2018 | 142 | |
| 3 | 2022 | 37 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2007 | 1 |
About Junshan Wang
Junshan Wang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Environmental Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (7 papers), Wind and Air Flow Studies (4 papers), Solar Energy Systems and Technologies (4 papers), Adsorption and Cooling Systems (4 papers), Vehicle emissions and performance (2 papers), Machine Learning and ELM (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Environmental Engineering (201 citations), Health, Toxicology and Mutagenesis (127 citations), Statistical and Nonlinear Physics (110 citations), Artificial Intelligence (197 citations) and Automotive Engineering (65 citations). Junshan Wang has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Guojie Song, Lun Du, Zhicong Lu, Yun Wang, Fengqi Si, Huan Ma, Wee Peng Tay, Wenhao Zhu, Liang Wang and Lei Pan. Their work appears in journals such as International Journal of Thermal Sciences, Applied Thermal Engineering, International Journal of Heat and Mass Transfer, Neurocomputing and Statistics and 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.