Jonathan M. Wang

46 papers receiving 2.2k citations

Jonathan M. Wang's Hit Papers

Gaussian Process Dynamical Models for Human Motion 2007 · 764 citations
7640+6+12Years since publication250500750

Peers

Jonathan M. Wang
Comparison fields: 5 of 114
  • Health, Toxicology and Mutagenesis 1.0k
  • Automotive Engineering 660
  • Atmospheric Science 701
  • Environmental Engineering 436
  • Computer Vision and Pattern Recognition 505
Replace Stephen M. Platt with:
Stephen M. Platt Norway
Xuezhong Wang China
Jinghua Guo China
Meng Wang China
Yuan Hu China
Andrew J. Sumner United States
Uri Lerner Israel
Quan Shi China
Ravinder Agarwal India
Jonathan M. Wang relative to Stephen M. Platt Norway Stephen M. Platt's profile →
Citations per field
00.5×1.5×1.8×
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-authors

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

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gaussian Process Dynamical Models for Human Motion
Hit paper breakdown →
2007764
2 2018159
3 2017136
4 201369
5 202065
6 201661
7 202060
8 201558
9 201454
10 201853
11 201652
12 201649
13 201446
14 201744
15 201744
16 201440
17 201739
18 201938
19 201638
20 202037

About Jonathan M. Wang

Jonathan M. Wang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Automotive Engineering, Environmental Engineering and Mechanics of Materials, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (29 papers), Atmospheric chemistry and aerosols (22 papers), Vehicle emissions and performance (19 papers), Air Quality Monitoring and Forecasting (14 papers), Laser-induced spectroscopy and plasma (8 papers), Combustion and flame dynamics (5 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 (1.0k citations), Automotive Engineering (660 citations), Atmospheric Science (701 citations), Environmental Engineering (436 citations) and Computer Vision and Pattern Recognition (505 citations). Jonathan M. Wang has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include David J. Fleet, Aaron Hertzmann, Greg J. Evans, Cheol–Heon Jeong, Robert M. Healy, Nathan Hilker, Naomi Zimmerman, Uwayemi M. Sofowote, Jerzy Debosz and Anthony Munoz. Their work appears in journals such as Atmospheric Environment, Environmental Science & Technology, Atmospheric measurement techniques, Atmospheric chemistry and physics 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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