Zhaobin Mo
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
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- Traffic Prediction and Management Techniques 8
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- Autonomous Vehicle Technology and Safety 4
- Vehicle emissions and performance 1
- Co-authors
- Xuan Di (14 shared papers)Rongye Shi (4 shared papers)Wangzhi Li (1 shared paper)Ding Zhao (1 shared paper)Kun Jiang (1 shared paper)Diange Yang (1 shared paper)Sisi Li (1 shared paper)Wenshuo Wang (1 shared paper)
- Journals
- Transportation Science (2 papers)Transportation Research Part C Emerging Technologies (2 papers)ACM Transactions on Spatial Algorithms and Systems (1 paper)Artificial Intelligence in Medicine (1 paper)Medicine (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Zhaobin Mo
19 papers receiving 341 citations
Peers
Comparison fields: 5 of 57
- Automotive Engineering 139
- Building and Construction 147
- Transportation 68
- Control and Systems Engineering 198
- Safety, Risk, Reliability and Quality 37
Countries citing papers authored by Zhaobin Mo
This map shows the geographic impact of Zhaobin Mo'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 Zhaobin Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaobin Mo more than expected).
Fields of papers citing papers by Zhaobin Mo
This network shows the impact of papers produced by Zhaobin Mo. 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 Zhaobin Mo. The network helps show where Zhaobin Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhaobin Mo, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 134 | |
| 2 | 2021 | 60 | |
| 3 | 2022 | 40 | |
| 4 | 2023 | 29 | |
| 5 | 2018 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Zhaobin Mo
Zhaobin Mo is a scholar working on Building and Construction, Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 346 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (8 papers), Traffic control and management (6 papers), Autonomous Vehicle Technology and Safety (4 papers), Human Mobility and Location-Based Analysis (3 papers), Video Surveillance and Tracking Methods (3 papers), Traffic and Road Safety (2 papers), Time Series Analysis and Forecasting (2 papers) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Automotive Engineering (139 citations), Building and Construction (147 citations), Transportation (68 citations), Control and Systems Engineering (198 citations) and Safety, Risk, Reliability and Quality (37 citations). Zhaobin Mo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xuan Di, Rongye Shi, Wangzhi Li, Ding Zhao, Kun Jiang, Diange Yang, Sisi Li, Wenshuo Wang, Zhongyang Xiao and Renato Galluzzi. Their work appears in journals such as Transportation Science, Transportation Research Part C Emerging Technologies, ACM Transactions on Spatial Algorithms and Systems, Artificial Intelligence in Medicine and Medicine.
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.