Jiangjun Wei
Impact in
- Fluid Flow and Transfer Processes top 0.5%
- Advanced Combustion Engine Technologies
- Automotive Engineering top 2%
- Vehicle emissions and performance
Papers in ⓘ
-
- Advanced Combustion Engine Technologies 31
-
- Vehicle emissions and performance 14
- Co-authors
- Mingzhang Pan (10 shared papers)Gang Lv (5 shared papers)Yejian Qian (8 shared papers)Chenyang Fan (6 shared papers)Haozhong Huang (7 shared papers)Yuncheng Wang (1 shared paper)Yang Zeng (7 shared papers)Suozhu Pan (4 shared papers)
- Journals
- Fuel (13 papers)Energy (5 papers)The Science of The Total Environment (4 papers)Proceedings of the Combustion Institute (2 papers)Energy Conversion and Management (2 papers)
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Jiangjun Wei
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Fluid Flow and Transfer Processes 883
- Automotive Engineering 387
- Biomedical Engineering 671
- Materials Chemistry 651
- Computational Mechanics 213
Countries citing papers authored by Jiangjun Wei
This map shows the geographic impact of Jiangjun Wei'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 Jiangjun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangjun Wei more than expected).
Fields of papers citing papers by Jiangjun Wei
This network shows the impact of papers produced by Jiangjun Wei. 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 Jiangjun Wei. The network helps show where Jiangjun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangjun Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 78 | |
| 4 | 2021 | 77 | |
| 5 | 2014 | 70 | |
| 6 | 2023 | 68 | |
| 7 | 2021 | 67 | |
| 8 | 2021 | 67 | |
| 9 | 2023 | 65 | |
| 10 | 2000 | 61 | |
| 11 | 2021 | 60 | |
| 12 | 2018 | 45 | |
| 13 | 2021 | 44 | |
| 14 | 2020 | 44 | |
| 15 | 2021 | 42 | |
| 16 | 2021 | 39 | |
| 17 | 2020 | 34 | |
| 18 | 2020 | 31 | |
| 19 | 2021 | 24 | |
| 20 | 2021 | 17 |
About Jiangjun Wei
Jiangjun Wei is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Materials Chemistry, Biomedical Engineering and Computational Mechanics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (31 papers), Catalytic Processes in Materials Science (26 papers), Biodiesel Production and Applications (16 papers), Vehicle emissions and performance (14 papers), Combustion and flame dynamics (6 papers), Combustion and Detonation Processes (3 papers), Diabetes Treatment and Management (2 papers) and Lubricants and Their Additives (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (883 citations), Automotive Engineering (387 citations), Biomedical Engineering (671 citations), Materials Chemistry (651 citations) and Computational Mechanics (213 citations). Jiangjun Wei has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Mingzhang Pan, Gang Lv, Yejian Qian, Chenyang Fan, Haozhong Huang, Yuncheng Wang, Yang Zeng, Suozhu Pan, Chenfang Wang and Liang Qiu. Their work appears in journals such as Fuel, Energy, The Science of The Total Environment, Proceedings of the Combustion Institute and Energy Conversion and Management.
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.