Mingfeng Shang

451 total citations
24 papers, 317 citations indexed

About

Mingfeng Shang is a scholar working on Control and Systems Engineering, Automotive Engineering and Transportation. According to data from OpenAlex, Mingfeng Shang has authored 24 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 12 papers in Automotive Engineering and 9 papers in Transportation. Recurrent topics in Mingfeng Shang's work include Traffic control and management (14 papers), Transportation Planning and Optimization (9 papers) and Traffic Prediction and Management Techniques (7 papers). Mingfeng Shang is often cited by papers focused on Traffic control and management (14 papers), Transportation Planning and Optimization (9 papers) and Traffic Prediction and Management Techniques (7 papers). Mingfeng Shang collaborates with scholars based in United States, Sweden and Germany. Mingfeng Shang's co-authors include Raphael Stern, Shian Wang, Michael W. Levin, Tianyi Li, Philip E. Paré, Xingan Kan, Seongjin Choi and Florian Hauer and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Mingfeng Shang

24 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingfeng Shang United States 9 208 162 109 73 66 24 317
David Fajardo Australia 8 212 1.0× 119 0.7× 199 1.8× 129 1.8× 24 0.4× 13 361
Chuan Tian China 11 319 1.5× 47 0.3× 224 2.1× 164 2.2× 11 0.2× 28 410
Mohammad Noaeen Canada 6 136 0.7× 38 0.2× 75 0.7× 105 1.4× 13 0.2× 17 273
Björn Schünemann Germany 8 126 0.6× 98 0.6× 32 0.3× 65 0.9× 226 3.4× 15 280
Naga V. Irukulapati Sweden 5 161 0.8× 113 0.7× 53 0.5× 30 0.4× 193 2.9× 11 323
Logan E. Beaver United States 6 141 0.7× 96 0.6× 35 0.3× 22 0.3× 25 0.4× 19 232
Kerstin Lemke Germany 8 43 0.2× 19 0.1× 23 0.2× 47 0.6× 26 0.4× 15 150
Ivo Herman Czechia 9 186 0.9× 31 0.2× 47 0.4× 28 0.4× 158 2.4× 28 299
Olaf Op den Camp Netherlands 10 72 0.3× 159 1.0× 5 0.0× 19 0.3× 21 0.3× 17 231

Countries citing papers authored by Mingfeng Shang

Since Specialization
Citations

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

Fields of papers citing papers by Mingfeng Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfeng Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingfeng Shang. A scholar is included among the top collaborators of Mingfeng Shang 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 Mingfeng Shang. Mingfeng Shang 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.
Shang, Mingfeng, Shian Wang, Tianyi Li, & Raphael Stern. (2024). Interaction-aware model predictive control for automated vehicles in mixed-autonomy traffic. 317–322. 4 indexed citations
2.
Li, Tianyi, Mingfeng Shang, Shian Wang, & Raphael Stern. (2024). Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach. IEEE Open Journal of Intelligent Transportation Systems. 6. 11–23. 4 indexed citations
3.
Li, Tianyi, Shian Wang, Mingfeng Shang, Seongjin Choi, & Raphael Stern. (2024). A Customizable Neural Network Based Framework for Autonomous Vehicle Control with Human-Guided Learning. 3064–3069. 1 indexed citations
4.
Wang, Shian, Mingfeng Shang, & Raphael Stern. (2024). Analytical Characterization of Cyberattacks on Adaptive Cruise Control Vehicles. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16409–16420. 6 indexed citations
5.
Li, Tianyi, Shian Wang, Mingfeng Shang, & Raphael Stern. (2024). Can cyberattacks on adaptive cruise control vehicles be effectively detected?. 323–328. 4 indexed citations
6.
Shang, Mingfeng, Shian Wang, & Raphael Stern. (2024). A Two-Condition Continuous Asymmetric Car-Following Model for Adaptive Cruise Control Vehicles. IEEE Transactions on Intelligent Vehicles. 9(2). 3975–3985. 8 indexed citations
7.
Shang, Mingfeng, Shian Wang, & Raphael Stern. (2023). Extending ramp metering control to mixed autonomy traffic flow with varying degrees of automation. Transportation Research Part C Emerging Technologies. 151. 104119–104119. 22 indexed citations
10.
Shang, Mingfeng, Shian Wang, & Raphael Stern. (2023). Capacity implications of personalized adaptive cruise control. 3168–3173. 4 indexed citations
11.
Li, Tianyi, et al.. (2023). Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles. 1–6. 10 indexed citations
12.
Shang, Mingfeng, Shian Wang, & Raphael Stern. (2022). Modeling Adaptive Cruise Control Vehicles: A Continuous Asymmetric Car-Following Perspective. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 923–928. 5 indexed citations
13.
Li, Tianyi, et al.. (2022). Detecting Stealthy Cyberattacks on Automated Vehicles via Generative Adversarial Networks. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 3632–3637. 19 indexed citations
14.
Wang, Shian, Mingfeng Shang, Michael W. Levin, & Raphael Stern. (2022). Smoothing Nonlinear Mixed Traffic with Autonomous Vehicles: Control Design. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 661–666. 3 indexed citations
15.
Wang, Shian, Mingfeng Shang, Michael W. Levin, & Raphael Stern. (2022). A general approach to smoothing nonlinear mixed traffic via control of autonomous vehicles. Transportation Research Part C Emerging Technologies. 146. 103967–103967. 44 indexed citations
16.
Levin, Michael W., Mingfeng Shang, & Raphael Stern. (2021). Effects of short-term travel on COVID-19 spread: A novel SEIR model and case study in Minnesota. PLoS ONE. 16(1). e0245919–e0245919. 12 indexed citations
17.
Shang, Mingfeng, et al.. (2021). Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model. IEEE Control Systems Letters. 6. 103–108. 20 indexed citations
18.
Shang, Mingfeng & Raphael Stern. (2021). A hybrid fundamental diagram for modeling mixed human and automated traffic flow. 1–6. 3 indexed citations
19.
Shang, Mingfeng & Raphael Stern. (2020). Calibrating heterogeneous car-following models for human drivers in oscillatory traffic conditions. 101–106. 8 indexed citations
20.
Shang, Mingfeng & Raphael Stern. (2020). Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput. Transportation Research Part C Emerging Technologies. 122. 102897–102897. 82 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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