Wen-Whai Li
- Health, Toxicology and Mutagenesis top 2%
- Environmental Engineering top 5%
- Speech and Hearing top 5%
- Atmospheric Science
- Automotive Engineering top 10%
- Co-authors
- Amit U. RaysoniStefanie Ebelt SarnatJeremy A. SarnatFernando HolguínBrent A. JohnsonThomas H. StockNicholas E. PingitoreMarianne Berwick
- Topics
- Air Quality and Health Impacts (19 papers)Air Quality Monitoring and Forecasting (13 papers)Noise Effects and Management (8 papers)
- Journals
- The Science of The Total EnvironmentEnvironmental Health PerspectivesEnvironmental Pollution
- Partner nations
- United StatesEcuadorMexico
In The Last Decade
Wen-Whai Li
20 papers receiving 545 citations
Peers
Comparison fields: 5 of 75
- Health, Toxicology and Mutagenesis 447
- Environmental Engineering 225
- Speech and Hearing 118
- Atmospheric Science 93
- Automotive Engineering 67
Countries citing papers authored by Wen-Whai Li
This map shows the geographic impact of Wen-Whai Li'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-Whai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Whai Li more than expected).
Fields of papers citing papers by Wen-Whai Li
This network shows the impact of papers produced by Wen-Whai Li. 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-Whai Li. The network helps show where Wen-Whai Li may publish in the future.
Co-authorship network of co-authors of Wen-Whai Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Whai Li. A scholar is included among the top collaborators of Wen-Whai Li 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-Whai Li. Wen-Whai Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 76 | |
| 3 | 25 | |
| 4 | 24 | |
| 5 | 61 | |
| 6 | 17 | |
| 7 | 45 | |
| 8 | 19 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 79 | |
| 12 | 42 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 11 | |
| 17 | 0 | |
| 18 | 25 | |
| 19 | 14 | |
| 20 | 8 |
About Wen-Whai Li
Wen-Whai Li is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Environmental Engineering, having authored 21 papers that have together received 553 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (19 papers), Air Quality Monitoring and Forecasting (13 papers) and Noise Effects and Management (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (447 citations), Speech and Hearing (118 citations) and Environmental Engineering (225 citations). Wen-Whai Li has collaborated with scholars based in United States, Ecuador and Mexico. Frequent co-authors include Amit U. Raysoni, Stefanie Ebelt Sarnat, Jeremy A. Sarnat, Fernando Holguín, Brent A. Johnson, Thomas H. Stock, Nicholas E. Pingitore, Marianne Berwick, Scott W. Burchiel and Teresa Montoya. Their work appears in journals such as The Science of The Total Environment, Environmental Health Perspectives and Environmental Pollution.
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.