Junlan Chen
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Transportation Planning and Optimization 13
- Urban Transport and Accessibility 10
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- Autonomous Vehicle Technology and Safety 5
- Transportation and Mobility Innovations 4
- Co-authors
- Ke Wang (10 shared papers)Xiucheng Guo (10 shared papers)Gang Li (1 shared paper)Long Chen (1 shared paper)Tao Chen (1 shared paper)Gang Hou (3 shared papers)Yunrong Yan (3 shared papers)Zhenjun Zhu (7 shared papers)
In The Last Decade
Junlan Chen
35 papers receiving 325 citations
Peers
Comparison fields: 5 of 93
- Transportation 68
- Automotive Engineering 88
- Safety, Risk, Reliability and Quality 59
- Building and Construction 51
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Junlan Chen
This map shows the geographic impact of Junlan Chen'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 Junlan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlan Chen more than expected).
Fields of papers citing papers by Junlan Chen
This network shows the impact of papers produced by Junlan Chen. 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 Junlan Chen. The network helps show where Junlan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlan Chen, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2011 | 25 | |
| 3 | 2013 | 20 | |
| 4 | 2020 | 19 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2020 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2012 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2023 | 7 | |
| 20 | [Feeding habits of Trichiurus lepturus in Beibu Gulf of South China Sea]. | 2010 | 6 |
About Junlan Chen
Junlan Chen is a scholar working on Transportation, Automotive Engineering, Building and Construction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 333 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (13 papers), Urban Transport and Accessibility (10 papers), Traffic control and management (6 papers), Traffic and Road Safety (5 papers), Autonomous Vehicle Technology and Safety (5 papers), Traffic Prediction and Management Techniques (5 papers), Video Surveillance and Tracking Methods (4 papers) and Transportation and Mobility Innovations (4 papers). The work is most often cited by research in Transportation (68 citations), Automotive Engineering (88 citations), Safety, Risk, Reliability and Quality (59 citations), Building and Construction (51 citations) and Computer Vision and Pattern Recognition (67 citations). Junlan Chen has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Ke Wang, Xiucheng Guo, Gang Li, Long Chen, Tao Chen, Gang Hou, Yunrong Yan, Zhenjun Zhu, Xianshi Jin and Wenfang Zheng. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Advanced Transportation, Engineering Applications of Artificial Intelligence, IEEE Access and Sustainability.
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.