Baichuan Mo

1.0k total citations
32 papers, 616 citations indexed

About

Baichuan Mo is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Baichuan Mo has authored 32 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Transportation, 12 papers in Building and Construction and 6 papers in Control and Systems Engineering. Recurrent topics in Baichuan Mo's work include Transportation Planning and Optimization (20 papers), Urban Transport and Accessibility (10 papers) and Traffic Prediction and Management Techniques (10 papers). Baichuan Mo is often cited by papers focused on Transportation Planning and Optimization (20 papers), Urban Transport and Accessibility (10 papers) and Traffic Prediction and Management Techniques (10 papers). Baichuan Mo collaborates with scholars based in United States, China and Singapore. Baichuan Mo's co-authors include Jinhua Zhao, Yu Shen, Haris N. Koutsopoulos, Shenhao Wang, Ruimin Li, Lokukaluge P. Perera, Zhenliang Ma, Xianyuan Zhan, Yafeng Yin and Clarence C. Tam and has published in prestigious journals such as Chemical Engineering Journal, European Journal of Operational Research and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Baichuan Mo

30 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baichuan Mo United States 16 358 214 186 85 58 32 616
Serdar Çolak United States 6 671 1.9× 233 1.1× 204 1.1× 82 1.0× 18 0.3× 6 892
Alireza Khani United States 17 772 2.2× 273 1.3× 419 2.3× 139 1.6× 21 0.4× 52 921
Xuegang Ban United States 13 559 1.6× 293 1.4× 222 1.2× 407 4.8× 40 0.7× 29 747
Jingtao Ma United States 9 626 1.7× 239 1.1× 111 0.6× 140 1.6× 13 0.2× 27 773
Jingxu Chen China 23 775 2.2× 323 1.5× 416 2.2× 248 2.9× 14 0.2× 76 1.1k
Seung‐Young Kho South Korea 17 553 1.5× 316 1.5× 223 1.2× 137 1.6× 8 0.1× 72 888
Pantelis Kopelias Greece 11 257 0.7× 198 0.9× 260 1.4× 196 2.3× 17 0.3× 30 640
Tianqi Xia Japan 16 349 1.0× 225 1.1× 113 0.6× 44 0.5× 5 0.1× 26 679
Jingqin Gao United States 10 172 0.5× 88 0.4× 83 0.4× 98 1.2× 52 0.9× 37 357
Tim Lomax United States 10 546 1.5× 374 1.7× 223 1.2× 337 4.0× 6 0.1× 26 821

Countries citing papers authored by Baichuan Mo

Since Specialization
Citations

This map shows the geographic impact of Baichuan 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 Baichuan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baichuan Mo more than expected).

Fields of papers citing papers by Baichuan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baichuan 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 Baichuan Mo. The network helps show where Baichuan Mo may publish in the future.

Co-authorship network of co-authors of Baichuan Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Baichuan Mo. A scholar is included among the top collaborators of Baichuan 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 Baichuan Mo. Baichuan Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ali, Ikram, Jianqiang Li, Jie Chen, et al.. (2025). An Efficient Location Privacy-Preserving Scheme for Edge Computing Using CLC-to-PKI-Based Heterogeneous Deniable Authentication. IEEE Internet of Things Journal. 12(16). 34054–34067. 1 indexed citations
2.
Mo, Baichuan, et al.. (2025). Robust binary and multinomial logit models for classification with data uncertainties. European Journal of Operational Research. 327(2). 577–591.
3.
Wang, Shenhao, et al.. (2024). Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark. Transportation Research Part B Methodological. 190. 103061–103061. 6 indexed citations
4.
Mo, Baichuan, Hao Yang, Yuhan Tang, et al.. (2024). Simulation-Based Optimization for Vertiport Location Selection: A Surrogate Model With Machine Learning Method. Transportation Research Record Journal of the Transportation Research Board. 2679(2). 2099–2110. 2 indexed citations
5.
Liu, Xin, Baichuan Mo, Tingting Li, et al.. (2024). Dual cation Kgu/PAM Gel polymer electrolyte with high ionic conductivity and mechanical strength for flexible All-Solid-State supercapacitors. Chemical Engineering Journal. 500. 156708–156708. 15 indexed citations
6.
7.
Mo, Baichuan, Haris N. Koutsopoulos, Zuo‐Jun Max Shen, & Jinhua Zhao. (2023). Robust path recommendations during public transit disruptions under demand uncertainty. Transportation Research Part B Methodological. 169. 82–107. 13 indexed citations
8.
Mo, Baichuan, et al.. (2023). Proof of Travel for Trust-Based Data Validation in V2I Communication. IEEE Internet of Things Journal. 10(11). 9565–9584. 7 indexed citations
9.
Wang, Leizhen, Xin Chen, Zhenliang Ma, et al.. (2023). Data-driven analysis and modeling of individual longitudinal behavior response to fare incentives in public transport. Transportation. 52(1). 263–286. 4 indexed citations
10.
Mo, Baichuan, et al.. (2023). Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network. Transportation Research Part E Logistics and Transportation Review. 175. 103168–103168. 14 indexed citations
11.
Sun, Yiwen, Donghua Zhou, Baichuan Mo, et al.. (2022). Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23231–23243. 5 indexed citations
12.
Mo, Baichuan, et al.. (2022). Impact of Unplanned Long-Term Service Disruptions on Urban Public Transit Systems. IEEE Open Journal of Intelligent Transportation Systems. 3. 551–569. 9 indexed citations
13.
Mo, Baichuan, Zhejing Cao, Hongmou Zhang, Yu Shen, & Jinhua Zhao. (2021). Competition between shared autonomous vehicles and public transit: A case study in Singapore. Transportation Research Part C Emerging Technologies. 127. 103058–103058. 49 indexed citations
14.
Mo, Baichuan, Zhan Zhao, Haris N. Koutsopoulos, & Jinhua Zhao. (2021). Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Transactions on Intelligent Transportation Systems. 23(8). 12014–12026. 29 indexed citations
15.
Wang, Shenhao, Baichuan Mo, & Jinhua Zhao. (2021). Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. Transportation Research Part B Methodological. 146. 333–358. 29 indexed citations
16.
Mo, Baichuan, Kairui Feng, Yu Shen, et al.. (2020). Modeling epidemic spreading through public transit using time-varying encounter network. Transportation Research Part C Emerging Technologies. 122. 102893–102893. 73 indexed citations
17.
Wang, Shenhao, Baichuan Mo, & Jinhua Zhao. (2020). Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions. Transportation Research Part C Emerging Technologies. 112. 234–251. 56 indexed citations
18.
Mo, Baichuan, Zhenliang Ma, Haris N. Koutsopoulos, & Jinhua Zhao. (2020). Capacity-Constrained Network Performance Model for Urban Rail Systems. Transportation Research Record Journal of the Transportation Research Board. 2674(5). 59–69. 23 indexed citations
19.
Shen, Yu, Baichuan Mo, Xiaohu Zhang, & Jinhua Zhao. (2019). Built Environment and Autonomous Vehicle Mode Choice: A First-Mile Scenario in Singapore. Transportation Research Board 98th Annual MeetingTransportation Research Board. 5 indexed citations
20.
Mo, Baichuan, Yu Shen, & Jinhua Zhao. (2018). Impact of Built Environment on First- and Last-Mile Travel Mode Choice. Transportation Research Record Journal of the Transportation Research Board. 2672(6). 40–51. 42 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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