Jun Gao

3.8k citations
141 papers · 2.7k · h-index 28

Impact in

Papers in

Jun Gao

132 papers receiving 2.7k citations

Peers

Jun Gao
Comparison fields: 5 of 137
  • Environmental Engineering 1.0k
  • Health, Toxicology and Mutagenesis 907
  • Building and Construction 786
  • Pollution 283
  • Speech and Hearing 144
Replace Xiang Zhou with:
Xiang Zhou China
Kazuhide Ito Japan
Duckshin Park South Korea
Alireza Afshari Denmark
Atila Novoselac United States
Lars Gunnarsen Denmark
Taeyeon Kim South Korea
Victor W.-C. Chang Singapore
Richard L. Corsi United States
Jun Gao relative to Xiang Zhou China Xiang Zhou's profile →
Citations per field
00.5×1.5×2.3×
Xiang Zhou · 1×
Citations per year

Countries citing papers authored by Jun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994229
2 2020176
3 2017174
4 2017155
5 202386
6 201285
7 201677
8 201776
9 201368
10 201365
11 202058
12 201552
13 200648
14 202047
15 200842
16 202041
17 202240
18 201536
19 202135
20 202135

About Jun Gao

Jun Gao is a scholar working on Environmental Engineering, Pulmonary and Respiratory Medicine, Building and Construction, Health, Toxicology and Mutagenesis and Aerospace Engineering, having authored 141 papers that have together received 2.7k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (52 papers), Infection Control and Ventilation (50 papers), Building Energy and Comfort Optimization (40 papers), Air Quality and Health Impacts (15 papers), Aerodynamics and Fluid Dynamics Research (13 papers), Fire dynamics and safety research (12 papers), Urban Heat Island Mitigation (9 papers) and Indoor Air Quality and Microbial Exposure (8 papers). The work is most often cited by research in Environmental Engineering (1.0k citations), Health, Toxicology and Mutagenesis (907 citations), Building and Construction (786 citations), Pollution (283 citations) and Speech and Hearing (144 citations). Jun Gao has collaborated with scholars based in China, Norway and Canada. Frequent co-authors include Changsheng Cao, Lingjie Zeng, Xu Zhang, Yude Chen, Xiping Xu, Lipeng Lv, Xiang Zhou, Xing Su, Xu Zhang and Lina Wang. Their work appears in journals such as Building and Environment, Journal of Building Engineering, Energy and Buildings, Building Simulation and The Science of The Total Environment.

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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