Jonathan M. Wang

3.0k citations
46 papers · 2.1k indexed · 1 hit paper · h-index 24

Jonathan M. Wang

43 papers receiving 2.0k citations

Hit Papers

Gaussian Process Dynamical Models for Human Motion6822007202620132019200400600

Peers

Jonathan M. Wang
Comparison fields: 5 of 113
  • Health, Toxicology and Mutagenesis 992
  • Automotive Engineering 643
  • Atmospheric Science 688
  • Environmental Engineering 433
  • Computer Vision and Pattern Recognition 451
Replace Stephen M. Platt with:
Stephen M. Platt Norway
Meng Wang China
Xuezhong Wang China
Stefano Alessandrini United States
Yuan Hu China
Ling Peng China
Andrew J. Sumner United States
Yusuke Fujii Japan
Quan Shi China
Jonathan M. Wang relative to Stephen M. Platt Norway Stephen M. Platt's profile →
Citations per field
00.5×1.5×2.0×
Stephen M. Platt · 1×
Citations per year

Countries citing papers authored by Jonathan M. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Wang. 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 Jonathan M. Wang. The network helps show where Jonathan M. Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20243
5 20236
6 202210
7 20217
8 202063
9 202035
10 201935
11 2018155
12 201836
13 201815
14 201738
15 201637
16 201650
17 201630
18 201558
19 201437
20 201366

About Jonathan M. Wang

Jonathan M. Wang is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Atmospheric Science, Environmental Engineering and Computational Mechanics, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (28 papers), Atmospheric chemistry and aerosols (22 papers), Vehicle emissions and performance (18 papers), Air Quality Monitoring and Forecasting (13 papers), Laser-induced spectroscopy and plasma (7 papers), Combustion and flame dynamics (4 papers), Organic Electronics and Photovoltaics (3 papers) and Fluid Dynamics and Heat Transfer (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (992 citations), Automotive Engineering (643 citations), Atmospheric Science (688 citations), Environmental Engineering (433 citations) and Computer Vision and Pattern Recognition (451 citations). Jonathan M. Wang has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Aaron Hertzmann, David J. Fleet, Greg J. Evans, Cheol–Heon Jeong, Robert M. Healy, Nathan Hilker, Naomi Zimmerman, Uwayemi M. Sofowote, Jerzy Debosz and Michael Noble. Their work appears in journals such as Atmospheric Environment, Environmental Science & Technology, Atmospheric chemistry and physics, The Science of The Total Environment and Atmosphere.

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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