Shunwen Bai
- Industrial and Manufacturing Engineering top 0.5%
- Pollution top 1%
- Water Science and Technology top 2%
- Environmental Engineering top 5%
- Biomedical Engineering top 10%
- Co-authors
- Xinyue ZhaoXiuheng WangJixian YangMengran GuoLiangliang WeiShan-Shan YangQiaoyang LiFengyi Zhu
- Topics
- Wastewater Treatment and Reuse (19 papers)Constructed Wetlands for Wastewater Treatment (16 papers)Wastewater Treatment and Nitrogen Removal (11 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Shunwen Bai
58 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Industrial and Manufacturing Engineering 708
- Pollution 652
- Water Science and Technology 473
- Environmental Engineering 313
- Biomedical Engineering 262
Countries citing papers authored by Shunwen Bai
This map shows the geographic impact of Shunwen Bai'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 Shunwen Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunwen Bai more than expected).
Fields of papers citing papers by Shunwen Bai
This network shows the impact of papers produced by Shunwen Bai. 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 Shunwen Bai. The network helps show where Shunwen Bai may publish in the future.
Co-authorship network of co-authors of Shunwen Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Shunwen Bai. A scholar is included among the top collaborators of Shunwen Bai 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 Shunwen Bai. Shunwen Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 40 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 29 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 57 | |
| 12 | 18 | |
| 13 | 36 | |
| 14 | 37 | |
| 15 | Development, current state and future trends of sludge management in China: Based on exploratory data and CO2-equivaient emissions analysisbreakdown → | 337 |
| 16 | 10 | |
| 17 | 18 | |
| 18 | 11 | |
| 19 | 58 | |
| 20 | A study on the physico-chemical characteristics of the water of AVM canal in Kanyakumari district, Tamil Nadu, India. | 1 |
About Shunwen Bai
Shunwen Bai is a scholar working on Industrial and Manufacturing Engineering, Pollution and Environmental Engineering, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wastewater Treatment and Reuse (19 papers), Constructed Wetlands for Wastewater Treatment (16 papers) and Wastewater Treatment and Nitrogen Removal (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (708 citations), Pollution (652 citations) and Water Science and Technology (473 citations). Shunwen Bai has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Xinyue Zhao, Xiuheng Wang, Jixian Yang, Mengran Guo, Liangliang Wei, Shan-Shan Yang, Qiaoyang Li, Fengyi Zhu, Junqiu Jiang and Chonghua Xue. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.
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.