Jun Wu

8.2k citations
181 papers · 6.2k indexed · h-index 46

Jun Wu

176 papers receiving 6.0k citations

Peers

Jun Wu
Comparison fields: 5 of 182
  • Health, Toxicology and Mutagenesis 4.0k
  • Speech and Hearing 858
  • Transportation 481
  • Environmental Engineering 984
  • Pollution 794
Replace Frederick Lurmann with:
Frederick Lurmann United States
David M. Stieb Canada
Marie S. O’Neill United States
Li Chen China
Jane E. Clougherty United States
Adam A. Szpiro United States
Jaime E. Hart United States
Peng Yin China
David Martínez Spain
Gongbo Chen China
Jun Wu relative to Frederick Lurmann United States Frederick Lurmann's profile →
Citations per field
00.5×3.5×
Frederick Lurmann · 1×
Citations per year

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun 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 Jun Wu Line = papers co-authored together Jun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20241
4 20241
5 20241
6 20231
7 20238
8 20234
9 202322
10 20225
11 202148
12 202125
13 202120
14 202055
15 20204
16 201984
17 2018117
18
Adverse Reproductive Health Outcomes and Exposure to Gaseous and Particulate-Matter Air Pollution in Pregnant Women.
201645
19 201365
20 200452

About Jun Wu

Jun Wu is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Environmental Engineering, Transportation and Pollution, having authored 181 papers that have together received 6.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (94 papers), Climate Change and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (33 papers), Noise Effects and Management (27 papers), Urban Transport and Accessibility (16 papers), Vehicle emissions and performance (14 papers), Energy and Environment Impacts (12 papers) and Urban Green Space and Health (12 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (4.0k citations), Speech and Hearing (858 citations), Transportation (481 citations), Environmental Engineering (984 citations) and Pollution (794 citations). Jun Wu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Lianfa Li, Beate Ritz, Olivier Laurent, Arthur Winer, Ralph J. Delfino, Douglas Houston, Judith H. Chung, Michelle Wilhelm, Myles Cockburn and Fred Lurmann. Their work appears in journals such as Environment International, Environmental Research, Atmospheric Environment, Environmental Health Perspectives and International Journal of Environmental Research and Public Health.

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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