Jun Luo
Impact in
- Transportation top 1%
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
-
- Human Mobility and Location-Based Analysis 20
- Transportation Planning and Optimization 14
-
- Data Management and Algorithms 21
- Co-authors
- Yanhua LiXun ZhouGe CuiXin WangMarc van KreveldMaike BuchinKevin BuchinYingxue Zhang
- Journals
- IEEE Transactions on Big Data (5 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)International Journal of Control (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Luo
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Transportation 402
- Signal Processing 421
- Geography, Planning and Development 110
- Building and Construction 259
- Automotive Engineering 206
Countries citing papers authored by Jun Luo
This map shows the geographic impact of Jun Luo'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 Jun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Luo more than expected).
Fields of papers citing papers by Jun Luo
This network shows the impact of papers produced by Jun Luo. 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 Jun Luo. The network helps show where Jun Luo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Luo, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 29 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2011 | 43 | |
| 20 | Client-Server Paradise | 1994 | 99 |
About Jun Luo
Jun Luo is a scholar working on Transportation, Signal Processing, Geography, Planning and Development, Automotive Engineering and Building and Construction, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Human Mobility and Location-Based Analysis (20 papers), Traffic Prediction and Management Techniques (15 papers), Transportation Planning and Optimization (14 papers), Transportation and Mobility Innovations (13 papers), Geographic Information Systems Studies (9 papers), Reinforcement Learning in Robotics (8 papers) and Advanced Database Systems and Queries (8 papers). The work is most often cited by research in Transportation (402 citations), Signal Processing (421 citations), Geography, Planning and Development (110 citations), Building and Construction (259 citations) and Automotive Engineering (206 citations). Jun Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanhua Li, Xun Zhou, Ge Cui, Xin Wang, Marc van Kreveld, Maike Buchin, Kevin Buchin, Yingxue Zhang, Jinfei Liu and Li Xiong. Their work appears in journals such as IEEE Transactions on Big Data, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, International Journal of Control and Scientific Reports.
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.