Yan Ding

89 papers receiving 1.5k citations

Peers

Yan Ding
Comparison fields: 5 of 93
  • Automotive Engineering 855
  • Health, Toxicology and Mutagenesis 580
  • Fluid Flow and Transfer Processes 157
  • Atmospheric Science 405
  • Transportation 144
Replace Nicholas C. Surawski with:
Nicholas C. Surawski Australia
Mridul Gautam United States
Xiangzhao Meng China
Yongming Feng China
Junhong Hao China
Cengiz Deniz Türkiye
Svend Bram Belgium
Meisam Babaie United Kingdom
Furio Cascetta Italy
Xiaoqing Zhou China
Yan Ding relative to Nicholas C. Surawski Australia Nicholas C. Surawski's profile →
Citations per field
00.5×1.5×
Nicholas C. Surawski · 1×
Citations per year

Countries citing papers authored by Yan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 2020101
3 201195
4 201193
5 201184
6 201574
7 201165
8 201353
9 201249
10 202149
11 202045
12 202142
13 202134
14 202133
15 202130
16 201929
17 201927
18 202427
19 201927
20 201726

About Yan Ding

Yan Ding is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering and Mechanical Engineering, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vehicle emissions and performance (44 papers), Air Quality and Health Impacts (37 papers), Atmospheric chemistry and aerosols (18 papers), Air Quality Monitoring and Forecasting (9 papers), Transportation Planning and Optimization (6 papers), Energy, Environment, and Transportation Policies (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Advanced Welding Techniques Analysis (4 papers). The work is most often cited by research in Automotive Engineering (855 citations), Health, Toxicology and Mutagenesis (580 citations), Fluid Flow and Transfer Processes (157 citations), Atmospheric Science (405 citations) and Transportation (144 citations). Yan Ding has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Yunshan Ge, Jianwei Tan, Mingliang Fu, Kebin He, Hang Yin, Linxiao Yu, Hong Huo, Asad Naeem Shah, Huan Liu and Fanyuan Deng. Their work appears in journals such as Journal of Environmental Sciences, Environmental Pollution, The Science of The Total Environment, Sustainability 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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