Haichun Ding
Impact in
-
- Advanced Combustion Engine Technologies
- Computational Mechanics top 5%
- Combustion and flame dynamics
- Fluid Dynamics and Heat Transfer
Papers in
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- Advanced Combustion Engine Technologies 14
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- Combustion and flame dynamics 8
- Fluid Dynamics and Heat Transfer 4
- Advanced Adaptive Filtering Techniques 1
- Co-authors
- Hongming Xu (10 shared papers)Xiao Ma (8 shared papers)Shijin Shuai (7 shared papers)Ziman Wang (4 shared papers)Changzhao Jiang (3 shared papers)Mirosław L. Wyszynski (3 shared papers)Yanfei Li (4 shared papers)Zhi Wang (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (5 papers)Fuel (3 papers)Applied Energy (2 papers)Energy & Fuels (1 paper)Mechanical Systems and Signal Processing (1 paper)
- Partner nations
- ChinaUnited KingdomNetherlands
In The Last Decade
Haichun Ding
18 papers receiving 561 citations
Peers
Comparison fields: 5 of 41
- Fluid Flow and Transfer Processes 372
- Computational Mechanics 298
- Automotive Engineering 97
- Acoustics and Ultrasonics 4
- Catalysis 30
Countries citing papers authored by Haichun Ding
This map shows the geographic impact of Haichun 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 Haichun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichun Ding more than expected).
Fields of papers citing papers by Haichun Ding
This network shows the impact of papers produced by Haichun 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 Haichun Ding. The network helps show where Haichun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Haichun Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 101 | |
| 2 | 2017 | 97 | |
| 3 | 2016 | 55 | |
| 4 | 2014 | 55 | |
| 5 | 2013 | 49 | |
| 6 | 2001 | 47 | |
| 7 | 2015 | 31 | |
| 8 | 2015 | 29 | |
| 9 | 2016 | 27 | |
| 10 | 2014 | 27 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 13 | |
| 13 | 2017 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 2020 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Haichun Ding
Haichun Ding is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Automotive Engineering and Aerospace Engineering, having authored 20 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (14 papers), Combustion and flame dynamics (8 papers), Vehicle emissions and performance (4 papers), Catalytic Processes in Materials Science (4 papers), Fluid Dynamics and Heat Transfer (4 papers), Biodiesel Production and Applications (4 papers), Rocket and propulsion systems research (2 papers) and Advanced Adaptive Filtering Techniques (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (372 citations), Computational Mechanics (298 citations), Automotive Engineering (97 citations), Acoustics and Ultrasonics (4 citations) and Catalysis (30 citations). Haichun Ding has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Hongming Xu, Xiao Ma, Shijin Shuai, Ziman Wang, Changzhao Jiang, Mirosław L. Wyszynski, Yanfei Li, Zhi Wang, Jianxin Wang and Hengjie Guo. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Fuel, Applied Energy, Energy & Fuels and Mechanical Systems and Signal Processing.
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.