Jingchen Dai
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Automotive Engineering top 5%
- Transportation and Mobility Innovations
Papers in
-
- Urban Transport and Accessibility 5
- Transportation Planning and Optimization 5
-
- Transportation and Mobility Innovations 6
- Co-authors
- Ruimin Li (11 shared papers)Zhiyong Liu (2 shared papers)Zhiyong Liu (1 shared paper)Baichuan Mo (1 shared paper)Xiangmin Li (1 shared paper)Nong Zhang (1 shared paper)Yiming Zhao (1 shared paper)Chenhao Zheng (1 shared paper)
- Journals
- Transportation Research Part A Policy and Practice (3 papers)Transportation Research Part C Emerging Technologies (2 papers)Journal of Traffic and Transportation Engineering (English Edition) (1 paper)Transport Policy (1 paper)Accident Analysis & Prevention (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jingchen Dai
11 papers receiving 279 citations
Peers
Comparison fields: 5 of 50
- Transportation 131
- Automotive Engineering 126
- Modeling and Simulation 20
- Building and Construction 58
- Safety, Risk, Reliability and Quality 32
Countries citing papers authored by Jingchen Dai
This map shows the geographic impact of Jingchen Dai'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 Jingchen Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingchen Dai more than expected).
Fields of papers citing papers by Jingchen Dai
This network shows the impact of papers produced by Jingchen Dai. 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 Jingchen Dai. The network helps show where Jingchen Dai may publish in the future.
Co-authors
The 12 scholars most cited alongside Jingchen Dai, 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 | 2021 | 64 | |
| 2 | 2020 | 62 | |
| 3 | 2021 | 44 | |
| 4 | 2020 | 37 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Jingchen Dai
Jingchen Dai is a scholar working on Transportation, Automotive Engineering, Building and Construction, Social Psychology and Marketing, having authored 13 papers that have together received 284 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (6 papers), Urban Transport and Accessibility (5 papers), Transportation Planning and Optimization (5 papers), Sharing Economy and Platforms (3 papers), Human-Automation Interaction and Safety (3 papers), COVID-19 epidemiological studies (2 papers), Traffic Prediction and Management Techniques (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Transportation (131 citations), Automotive Engineering (126 citations), Modeling and Simulation (20 citations), Building and Construction (58 citations) and Safety, Risk, Reliability and Quality (32 citations). Jingchen Dai has collaborated with scholars based in China and United States. Frequent co-authors include Ruimin Li, Zhiyong Liu, Zhiyong Liu, Zhiyong Liu, Baichuan Mo, Zhiyong Liu, Xiangmin Li, Nong Zhang, Xiangmin Li and Yiming Zhao. Their work appears in journals such as Transportation Research Part A Policy and Practice, Transportation Research Part C Emerging Technologies, Journal of Traffic and Transportation Engineering (English Edition), Transport Policy and Accident Analysis & Prevention.
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.