Chih‐Da Wu

4.4k citations
161 papers · 3.4k · h-index 27

Impact in

Papers in

Chih‐Da Wu

146 papers receiving 3.4k citations

Peers

Chih‐Da Wu
Comparison fields: 5 of 169
  • Health, Toxicology and Mutagenesis 2.4k
  • Environmental Engineering 986
  • Speech and Hearing 411
  • Transportation 184
  • Global and Planetary Change 420
Replace Morgane Stempfelet with:
Morgane Stempfelet France
Joana Madureira Portugal
Sylvia Médina France
Heather Walton United Kingdom
Jane Ellen Clougherty United States
Xiaohui Xu United States
Ed Avol United States
Jing Cai China
Mieczysław Szyszkowicz Canada
Gary Adamkiewicz United States
Chih‐Da Wu relative to Morgane Stempfelet France Morgane Stempfelet's profile →
Citations per field
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Morgane Stempfelet · 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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017264
2 2014174
3 2019169
4 2021145
5 2015144
6 2014115
7 2017111
8 2018109
9 201698
10 201970
11 201868
12 202168
13 201363
14 201159
15 201957
16 201855
17 202150
18 202345
19 201841
20 201941

About Chih‐Da Wu

Chih‐Da Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Speech and Hearing, Global and Planetary Change and Transportation, having authored 161 papers that have together received 3.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (86 papers), Climate Change and Health Impacts (38 papers), Urban Green Space and Health (34 papers), Air Quality Monitoring and Forecasting (31 papers), Noise Effects and Management (20 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 (2.4k citations), Environmental Engineering (986 citations), Speech and Hearing (411 citations), Transportation (184 citations) and Global and Planetary Change (420 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 Jenny Su, Wen‐Chi Pan, John D. Spengler, Yu‐Cheng Chen, Mu-Jean Chen, Hsiao‐Yun Lee, Yue Leon Guo, Pei-Yi Wong and Peter D James. Their work appears in journals such as Environmental Pollution, International Journal of Environmental Research and Public Health, The Science of The Total Environment, Scientific Reports and Environmental 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.

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