Kun Wang
Impact in
- Transportation top 0.2%
- Transportation Planning and Optimization
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- Aviation Industry Analysis and Trends
Papers in
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- Aviation Industry Analysis and Trends 74
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- Transport and Economic Policies 39
- Co-authors
- Kangyin Dong (29 shared papers)Xiaowen Fu (44 shared papers)Anming Zhang (24 shared papers)Congyu Zhao (13 shared papers)Xiucheng Dong (6 shared papers)Wenyi Xia (10 shared papers)Hangjun Yang (20 shared papers)Yahua Zhang (9 shared papers)
In The Last Decade
Kun Wang
215 papers receiving 5.2k citations
Kun Wang's Hit Papers
Peers
Comparison fields: 5 of 156
- Transportation 1.3k
- General Economics, Econometrics and Finance 1.6k
- Industrial and Manufacturing Engineering 609
- Environmental Engineering 754
- Strategy and Management 832
Countries citing papers authored by Kun Wang
This map shows the geographic impact of Kun 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 Kun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wang more than expected).
Fields of papers citing papers by Kun Wang
This network shows the impact of papers produced by Kun 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 Kun Wang. The network helps show where Kun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Wang, 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 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 237 | |
| 2 | 2021 | 190 | |
| 3 | 2021 | 133 | |
| 4 | 2020 | 128 | |
| 5 | 2015 | 123 | |
| 6 | 2017 | 122 | |
| 7 | 2015 | 115 | |
| 8 | 2020 | 107 | |
| 9 | 2022 | 104 | |
| 10 | 2012 | 101 | |
| 11 | 2020 | 99 | |
| 12 | 2018 | 91 | |
| 13 | 2018 | 88 | |
| 14 | 2017 | 87 | |
| 15 | How does artificial intelligence promote renewable energy development? The role of climate finance Hit paper breakdown → | 2024 | 82 |
| 16 | 2022 | 80 | |
| 17 | 2013 | 77 | |
| 18 | 2020 | 76 | |
| 19 | 2019 | 74 | |
| 20 | 2018 | 74 |
About Kun Wang
Kun Wang is a scholar working on General Economics, Econometrics and Finance, Strategy and Management, Transportation, Economics and Econometrics and Environmental Engineering, having authored 235 papers that have together received 5.4k indexed citations. Recurring topics across this work include Aviation Industry Analysis and Trends (74 papers), Transportation Planning and Optimization (46 papers), Transport and Economic Policies (39 papers), Air Traffic Management and Optimization (30 papers), Energy, Environment, Economic Growth (22 papers), Maritime Ports and Logistics (22 papers), Energy, Environment, and Transportation Policies (18 papers) and Climate Change Policy and Economics (16 papers). The work is most often cited by research in Transportation (1.3k citations), General Economics, Econometrics and Finance (1.6k citations), Industrial and Manufacturing Engineering (609 citations), Environmental Engineering (754 citations) and Strategy and Management (832 citations). Kun Wang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Kangyin Dong, Xiaowen Fu, Anming Zhang, Congyu Zhao, Xiucheng Dong, Wenyi Xia, Hangjun Yang, Yahua Zhang, Tae Hoon Oum and Changmin Jiang. Their work appears in journals such as Transport Policy, Transportation Research Part A Policy and Practice, Transportation Research Part B Methodological, Journal of Air Transport Management and Energy Economics.
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.