Junlan Chen

536 citations
35 papers · 361 · h-index 11

Impact in

Papers in

    • Transportation Planning and Optimization 13
    • Urban Transport and Accessibility 10
    • Transportation and Mobility Innovations 4
    • Autonomous Vehicle Technology and Safety 4

Junlan Chen

35 papers receiving 354 citations

Peers

Junlan Chen
Comparison fields: 5 of 90
  • Transportation 69
  • Automotive Engineering 91
  • Safety, Risk, Reliability and Quality 61
  • Building and Construction 53
  • Computer Vision and Pattern Recognition 72
Replace Zawar H. Khan with:
Zawar H. Khan Pakistan
Gianni Cario Italy
Rubén Fernández Pozo Spain
Stefan Seer Austria
Gideon Aschwanden Australia
Toru Hagiwara Japan
Margarita Martínez‐Díaz Spain
Anass Rahouti Belgium
Wenxiang Xu China
Junlan Chen relative to Zawar H. Khan Pakistan Zawar H. Khan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Junlan Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Junlan Chen Line = papers co-authored together Junlan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 201125
3 202421
4 202021
5 201320
6 202317
7 202016
8 202312
9 202212
10 201212
11 201911
12 202010
13 202210
14 20199
15 20229
16 20238
17 20188
18 20227
19 20217
20 20216

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 361 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), Transportation and Mobility Innovations (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Traffic Prediction and Management Techniques (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Transportation (69 citations), Automotive Engineering (91 citations), Safety, Risk, Reliability and Quality (61 citations), Building and Construction (53 citations) and Computer Vision and Pattern Recognition (72 citations). Junlan Chen has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Ke Wang, Xiucheng Guo, Long Yan, Long Chen, Tao Chen, Gang Li, Gang Hou, Yunrong Yan, Zhenjun Zhu and Xianshi Jin. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Advanced Transportation, Sustainability, IEEE Access and Engineering Applications of Artificial Intelligence.

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.

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