Chih‐Da Wu

4.3k citations
154 papers · 3.1k · h-index 27

Impact in

Papers in

Chih‐Da Wu

141 papers receiving 3.1k citations

Peers

Chih‐Da Wu
Comparison fields: 5 of 163
  • Health, Toxicology and Mutagenesis 2.3k
  • Speech and Hearing 402
  • Environmental Engineering 951
  • Transportation 184
  • Global and Planetary Change 417
Replace Jong-Tae Lee with:
Jong-Tae Lee South Korea
Jane E. Clougherty United States
Heresh Amini United States
Stefanie Ebelt Sarnat United States
Paola Michelozzi Italy
Ed Avol United States
Joel Schwartz United States
Heather Walton United Kingdom
Xiaohui Xu United States
Audrey Smargiassi Canada
Chih‐Da Wu relative to Jong-Tae Lee South Korea Jong-Tae Lee's profile →
Citations per field
00.5×1.5×2.1×
Jong-Tae Lee · 1×
Citations per year

Countries citing papers authored by Chih‐Da Wu

Since Specialization
Citations

This map shows the geographic impact of Chih‐Da Wu'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 Chih‐Da Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Da Wu more than expected).

Fields of papers citing papers by Chih‐Da Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Da Wu. 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 Chih‐Da Wu. The network helps show where Chih‐Da Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chih‐Da Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chih‐Da Wu Line = papers co-authored together Chih‐Da Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017251
2 2014164
3 2019159
4 2015136
5 2021132
6 2014108
7 2017107
8 2018106
9 201695
10 201866
11 201965
12 202162
13 201361
14 201957
15 201854
16 202146
17 201841
18 201939
19 202338
20 202138

About Chih‐Da Wu

Chih‐Da Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change, Speech and Hearing and Transportation, having authored 154 papers that have together received 3.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (80 papers), Urban Green Space and Health (35 papers), Climate Change and Health Impacts (35 papers), Air Quality Monitoring and Forecasting (32 papers), Noise Effects and Management (19 papers), Urban Heat Island Mitigation (14 papers), Urban Transport and Accessibility (12 papers) and Land Use and Ecosystem Services (12 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.3k citations), Speech and Hearing (402 citations), Environmental Engineering (951 citations), Transportation (184 citations) and Global and Planetary Change (417 citations). Chih‐Da Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shih‐Chun Candice Lung, Huey‐Jen Su, Wen‐Chi Pan, John D. Spengler, Yu‐Cheng Chen, Mu-Jean Chen, Hsiao‐Yun Lee, Yue Leon Guo, Pei-Yi Wong and Peter James. Their work appears in journals such as International Journal of Environmental Research and Public Health, The Science of The Total Environment, Environmental Pollution, Environmental Research and Scientific Reports.

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.

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