Shirun Ding

442 citations
14 papers · 375 indexed · h-index 11

Impact in

Papers in

Shirun Ding

12 papers receiving 368 citations

Peers

Shirun Ding
Comparison fields: 5 of 74
  • Fluid Flow and Transfer Processes 157
  • Automotive Engineering 122
  • Computational Mechanics 121
  • Industrial and Manufacturing Engineering 23
  • Health, Toxicology and Mutagenesis 34
Replace Urban Žvar Baškovič with:
Urban Žvar Baškovič Slovenia
P. Senthilkumar India
Zvonimir Petranović Croatia
Hongsuk Kim South Korea
Sunyoup Lee South Korea
Edgardo Coda Zabetta Finland
Tomasz Suchocki Poland
Xuanyu Ji China
N. K. S. Rajan India
Duckjool Kim South Korea
Shirun Ding relative to Urban Žvar Baškovič Slovenia Urban Žvar Baškovič's profile →
Citations per field
00.5×1.5×2.3×
Urban Žvar Baškovič · 1×
Citations per year

Countries citing papers authored by Shirun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shirun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Shirun 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 Shirun Ding Line = papers co-authored together Shirun Ding links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20250
2 202214
3 202128
4 20210
5 20218
6 202016
7 201952
8 201912
9 201915
10 201929
11 2017112
12 201723
13 201748
14 201718

About Shirun Ding

Shirun Ding is a scholar working on Modeling and Simulation, Automotive Engineering, Fluid Flow and Transfer Processes, Speech and Hearing and Health, Toxicology and Mutagenesis, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Infection Control and Ventilation (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Cyclone Separators and Fluid Dynamics (2 papers), COVID-19 epidemiological studies (2 papers), Vehicle emissions and performance (2 papers), Noise Effects and Management (2 papers) and Advanced Combustion Engine Technologies (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (157 citations), Automotive Engineering (122 citations), Computational Mechanics (121 citations), Industrial and Manufacturing Engineering (23 citations) and Health, Toxicology and Mutagenesis (34 citations). Shirun Ding has collaborated with scholars based in Singapore, China and Netherlands. Frequent co-authors include Bing Feng Ng, Haoye Liu, Man Pun Wan, Yanfei Li, Longfei Chen, Yiji Lu, Anthony Paul Roskilly, Hu Liu, Xiaopeng Shang and Zhirong Liang. Their work appears in journals such as Building and Environment, Fuel, The Science of The Total Environment, Environmental Science & Technology and Aerosol Science and Technology.

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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