Junshan Wang
- Environmental Engineering top 5%
- Artificial Intelligence top 10%
- Health, Toxicology and Mutagenesis top 10%
- Statistical and Nonlinear Physics top 5%
- Mechanical Engineering
- Co-authors
- Guojie SongLun DuZhicong LuYun WangHuan MaFengqi SiLiang WangWenhao Zhu
- Topics
- Complex Network Analysis Techniques (7 papers)Advanced Graph Neural Networks (7 papers)Wind and Air Flow Studies (4 papers)
- Cited by
- Environmental EngineeringHealth, Toxicology and MutagenesisStatistical and Nonlinear Physics
- Journals
- Journal of Cleaner ProductionInternational Journal of Heat and Mass TransferApplied Thermal Engineering
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Junshan Wang
21 papers receiving 483 citations
Peers
Comparison fields: 5 of 75
- Environmental Engineering 201
- Artificial Intelligence 197
- Health, Toxicology and Mutagenesis 127
- Statistical and Nonlinear Physics 110
- Mechanical Engineering 75
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-authorship network of co-authors of Junshan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Junshan Wang. A scholar is included among the top collaborators of Junshan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junshan Wang. Junshan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 19 | |
| 14 | 33 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 146 | |
| 18 | 142 | |
| 19 | 4 | |
| 20 | 1 |
About Junshan Wang
Junshan Wang is a scholar working on Statistical and Nonlinear Physics, Environmental Engineering and Artificial Intelligence, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (7 papers) and Wind and Air Flow Studies (4 papers). The work is most often cited by research in Environmental Engineering (201 citations), Health, Toxicology and Mutagenesis (127 citations) and Statistical and Nonlinear Physics (110 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, Huan Ma, Fengqi Si, Liang Wang, Wenhao Zhu, Wee Peng Tay and Ajay Jasra. Their work appears in journals such as Journal of Cleaner Production, International Journal of Heat and Mass Transfer and Applied Thermal Engineering.
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.