Wen Song
- Water Science and Technology top 1%
- Industrial and Manufacturing Engineering top 1%
- Materials Chemistry top 10%
- Biomedical Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Topics
- Adsorption and biosorption for pollutant removal (13 papers)Membrane Separation Technologies (11 papers)Microbial Community Ecology and Physiology (10 papers)
- Cited by
- Water Science and TechnologyIndustrial and Manufacturing EngineeringRenewable Energy, Sustainability and the Environment
- Journals
- Nature CommunicationsEnvironmental Science & TechnologyThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Wen Song
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 102
- Water Science and Technology 1.0k
- Industrial and Manufacturing Engineering 443
- Materials Chemistry 367
- Biomedical Engineering 315
- Renewable Energy, Sustainability and the Environment 308
Countries citing papers authored by Wen Song
This map shows the geographic impact of Wen Song'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 Wen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Song more than expected).
Fields of papers citing papers by Wen Song
This network shows the impact of papers produced by Wen Song. 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 Wen Song. The network helps show where Wen Song may publish in the future.
Co-authorship network of co-authors of Wen Song
This figure shows the co-authorship network connecting the top 25 collaborators of Wen Song. A scholar is included among the top collaborators of Wen Song 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 Wen Song. Wen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 16 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 33 | |
| 8 | 30 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 79 | |
| 12 | 149 | |
| 13 | 28 | |
| 14 | 7 | |
| 15 | 24 | |
| 16 | 9 | |
| 17 | 258 | |
| 18 | 176 | |
| 19 | 21 | |
| 20 | 45 |
About Wen Song
Wen Song is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (13 papers), Membrane Separation Technologies (11 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Water Science and Technology (1.0k citations), Industrial and Manufacturing Engineering (443 citations) and Renewable Energy, Sustainability and the Environment (308 citations). Wen Song has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Baoyu Gao, Xing Xu, Qinyan Yue, Liangguo Yan, Xuguang Li, Zhongfei Ren, Ruibao Jia, Yanfei Li, Qinyan Yue and Li Zhang. Their work appears in journals such as Nature Communications, Environmental Science & Technology and The Science of The Total Environment.
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.