Zhaobin Mo

543 total citations
19 papers, 322 citations indexed

About

Zhaobin Mo is a scholar working on Building and Construction, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Zhaobin Mo has authored 19 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Building and Construction, 6 papers in Control and Systems Engineering and 5 papers in Automotive Engineering. Recurrent topics in Zhaobin Mo's work include Traffic Prediction and Management Techniques (8 papers), Traffic control and management (6 papers) and Autonomous Vehicle Technology and Safety (3 papers). Zhaobin Mo is often cited by papers focused on Traffic Prediction and Management Techniques (8 papers), Traffic control and management (6 papers) and Autonomous Vehicle Technology and Safety (3 papers). Zhaobin Mo collaborates with scholars based in United States, China and Germany. Zhaobin Mo's co-authors include Xuan Di, Rongye Shi, Wangzhi Li, Zhongyang Xiao, Diange Yang, Kun Jiang, Ding Zhao, Wenshuo Wang, Sisi Li and Rogelio Bustamante-Bello and has published in prestigious journals such as Medicine, Transportation Research Part C Emerging Technologies and Transportation Science.

In The Last Decade

Zhaobin Mo

18 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhaobin Mo United States 8 189 144 132 67 37 19 322
Yiguang Xuan United States 10 247 1.3× 134 0.9× 175 1.3× 293 4.4× 60 1.6× 18 397
Paul Ha United States 8 152 0.8× 61 0.4× 152 1.2× 56 0.8× 44 1.2× 11 275
Zilin Huang United States 12 91 0.5× 110 0.8× 79 0.6× 107 1.6× 43 1.2× 23 282
Hongzhuan Zhao China 15 394 2.1× 185 1.3× 128 1.0× 200 3.0× 63 1.7× 34 493
Samer Ammoun France 6 115 0.6× 87 0.6× 226 1.7× 20 0.3× 81 2.2× 8 326
Jiatong Du China 3 84 0.4× 132 0.9× 260 2.0× 11 0.2× 78 2.1× 11 369
Pedro Fernandes Portugal 7 341 1.8× 85 0.6× 262 2.0× 172 2.6× 33 0.9× 16 495
Nathaniel Hamilton United States 6 503 2.7× 158 1.1× 357 2.7× 265 4.0× 88 2.4× 15 625
Cheng Chang China 11 100 0.5× 68 0.5× 166 1.3× 19 0.3× 25 0.7× 26 353

Countries citing papers authored by Zhaobin Mo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Zhaobin Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaobin Mo. A scholar is included among the top collaborators of Zhaobin Mo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhaobin Mo. Zhaobin Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Mo, Zhaobin, Hongying Zheng, Z. Zhong, et al.. (2025). Deep Learning for Endoscopic Classification of Adenoid Hypertrophy. World Journal of Otorhinolaryngology - Head and Neck Surgery. 1 indexed citations
3.
Mo, Zhaobin, et al.. (2025). diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs. Transportation Science. 59(4). 782–801. 1 indexed citations
4.
Xu, Chen, et al.. (2024). Can LLMs Understand Social Norms in Autonomous Driving Games?. 1–4. 2 indexed citations
5.
6.
Xiang, Qiong, et al.. (2024). A case series: Three cases of Morvan’s syndrome as a rare autoimmune disorder with anti-Caspr2 antibody. Medicine. 103(42). e40159–e40159. 1 indexed citations
7.
Mo, Zhaobin, et al.. (2024). A Game-Theoretic Framework for Generic Second-Order Traffic Flow Models Using Mean Field Games and Adversarial Inverse Reinforcement Learning. Transportation Science. 58(6). 1403–1426. 1 indexed citations
8.
Mo, Zhaobin, et al.. (2024). Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction. ACM Transactions on Spatial Algorithms and Systems. 10(4). 1–25. 3 indexed citations
9.
Mo, Zhaobin, Xuan Di, & Rongye Shi. (2023). Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection. Games. 14(1). 13–13. 2 indexed citations
10.
Di, Xuan, et al.. (2023). Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook. Algorithms. 16(6). 305–305. 22 indexed citations
11.
Di, Xuan, Zhaobin Mo, Shaw‐Hwa Lo, et al.. (2023). Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score. Artificial Intelligence in Medicine. 138. 102510–102510. 5 indexed citations
12.
Galluzzi, Renato, et al.. (2023). Longitudinal Control Strategy for Connected Electric Vehicle with Regenerative Braking in Eco-Approach and Departure. Applied Sciences. 13(8). 5089–5089. 9 indexed citations
13.
Li, Zhe, Zhaobin Mo, Lin Mu, et al.. (2022). Demonstrating stability within parallel connection as a basis for building large-scale battery systems. Cell Reports Physical Science. 3(12). 101154–101154. 5 indexed citations
14.
Mo, Zhaobin, et al.. (2022). CVLight: Decentralized learning for adaptive traffic signal control with connected vehicles. Transportation Research Part C Emerging Technologies. 141. 103728–103728. 38 indexed citations
15.
Mo, Zhaobin, et al.. (2022). Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2769–2774. 7 indexed citations
16.
Shi, Rongye, Zhaobin Mo, & Xuan Di. (2021). Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 540–547. 58 indexed citations
17.
Mo, Zhaobin, Rongye Shi, & Xuan Di. (2021). A physics-informed deep learning paradigm for car-following models. Transportation Research Part C Emerging Technologies. 130. 103240–103240. 127 indexed citations
18.
Li, Sisi, Wenshuo Wang, Zhaobin Mo, & Ding Zhao. (2018). Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning. 1354–1359. 20 indexed citations
19.
Xiao, Zhongyang, Zhaobin Mo, Kun Jiang, & Diange Yang. (2018). Multimedia Fusion at Semantic Level in Vehicle Cooperactive Perception. 1–6. 19 indexed citations

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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