Feng Zhu

2.6k total citations
98 papers, 1.9k citations indexed

About

Feng Zhu is a scholar working on Control and Systems Engineering, Transportation and Mechanical Engineering. According to data from OpenAlex, Feng Zhu has authored 98 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 32 papers in Transportation and 22 papers in Mechanical Engineering. Recurrent topics in Feng Zhu's work include Traffic control and management (37 papers), Transportation Planning and Optimization (29 papers) and Electrical Contact Performance and Analysis (20 papers). Feng Zhu is often cited by papers focused on Traffic control and management (37 papers), Transportation Planning and Optimization (29 papers) and Electrical Contact Performance and Analysis (20 papers). Feng Zhu collaborates with scholars based in China, Singapore and United States. Feng Zhu's co-authors include Satish V. Ukkusuri, Jiazu Zhou, Panos J. Antsaklis, Yang Zhu, Haipeng Chen, Meng Xia, H. M. Abdul Aziz, Siying Zhu, Vijay Gupta and Yiik Diew Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

Feng Zhu

86 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Zhu China 24 1.4k 684 680 451 272 98 1.9k
Danya Yao China 23 820 0.6× 625 0.9× 663 1.0× 524 1.2× 387 1.4× 116 1.9k
Shi Zhong-ke China 23 1000 0.7× 528 0.8× 199 0.3× 489 1.1× 95 0.3× 72 1.5k
Soyoung Ahn United States 29 2.6k 1.9× 1.6k 2.3× 1.4k 2.1× 1.1k 2.4× 300 1.1× 102 3.1k
Yinguo Li China 18 661 0.5× 298 0.4× 296 0.4× 263 0.6× 279 1.0× 57 1.1k
Wei Shangguan China 16 418 0.3× 153 0.2× 319 0.5× 176 0.4× 215 0.8× 145 968
Linchao Li China 21 428 0.3× 617 0.9× 180 0.3× 849 1.9× 176 0.6× 54 1.6k
Yang Cheng United States 17 485 0.4× 473 0.7× 236 0.3× 400 0.9× 115 0.4× 98 1.2k
Xiaowei Shi China 19 348 0.3× 229 0.3× 333 0.5× 106 0.2× 522 1.9× 80 1.2k
Jihui Ma China 14 597 0.4× 983 1.4× 286 0.4× 1.1k 2.4× 186 0.7× 46 1.7k
Mohamed H. Zaki Canada 22 516 0.4× 455 0.7× 368 0.5× 273 0.6× 218 0.8× 137 1.7k

Countries citing papers authored by Feng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhu. A scholar is included among the top collaborators of Feng Zhu 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 Feng Zhu. Feng Zhu 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.
Wong, Yiik Diew, et al.. (2025). A platoon-centric approach to the capacity analysis of mixed traffic comprising connected and autonomous vehicles. Transportation Research Part C Emerging Technologies. 177. 105170–105170.
3.
Wong, Yiik Diew, et al.. (2024). Modeling the clustering strength of connected autonomous vehicles and its impact on mixed traffic capacity. SHILAP Revista de lepidopterología. 4. 100151–100151. 4 indexed citations
4.
Gao, Linlin, et al.. (2024). Flexible Job Shop Rescheduling Scheme Selection Using Improved TOPSIS. International Journal of Simulation Modelling. 23(3). 507–518.
5.
Xiao, Song, Teng Liu, Pengfei Lu, et al.. (2024). Non-Hermitian CHSH* Game with a Single Trapped-Ion Qubit. Chinese Physics Letters. 41(6). 60301–60301.
6.
Zhu, Feng, et al.. (2024). Enhancing Road Surface Temperature Prediction: A Novel Approach Integrating Transfer Learning with Long Short-Term Memory Neural Networks. Journal of Transportation Engineering Part B Pavements. 151(1). 1 indexed citations
7.
Zhu, Feng, et al.. (2023). Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method. Shock and Vibration. 2023. 1–11. 1 indexed citations
8.
Shang, Ying, et al.. (2023). Trajectory planning at a signalized road section in a mixed traffic environment considering lane-changing of CAVs and stochasticity of HDVs. Transportation Research Part C Emerging Technologies. 158. 104441–104441. 18 indexed citations
9.
Li, Fei, et al.. (2023). Research on the Model and Transient Characteristics of the Pantograph-Catenary Arc in Different Sections of Power Supply Lines. The Applied Computational Electromagnetics Society Journal (ACES).
10.
Zhou, Jiazu, et al.. (2022). Transfer Learning Based Long Short-Term Memory Car-Following Model for Adaptive Cruise Control. IEEE Transactions on Intelligent Transportation Systems. 23(11). 21345–21359. 19 indexed citations
11.
Zhu, Feng, et al.. (2021). Analysis of EMI from Pantograph-catenary Arc on Speed Sensor Based on the High-speed Train Model. The Applied Computational Electromagnetics Society Journal (ACES). 36(2). 205–212. 10 indexed citations
12.
Xu, Xuecai, et al.. (2018). Accident severity levels and traffic signs interactions in state roads: a seemingly unrelated regression model in unbalanced panel data approach. Accident Analysis & Prevention. 120. 122–129. 30 indexed citations
13.
Zhu, Feng, et al.. (2018). Fiber Optic Microseismic Monitoring System Used in Underground Coal Mines. Journal of Physics Conference Series. 1065. 252012–252012. 1 indexed citations
14.
Zhu, Feng, et al.. (2017). Measurement and suppression of electromagnetic interference to speed sensor of CRH380BL electric multiple unit. 5 indexed citations
15.
Zhu, Feng, et al.. (2017). Exposure to electromagnetic fields aboard high-speed electric multiple unit trains.. PubMed. 30(3). 727–731. 2 indexed citations
16.
Zhu, Feng, et al.. (2016). Mechanism and Suppression of Electromagnetic Interference of Pantograph-Catenary Arc to Speed Sensor of CRH380BL Electric Multiple Unit. 37(6). 69–74. 9 indexed citations
17.
Zhu, Feng, Meng Xia, & Panos J. Antsaklis. (2014). Passivity analysis and passivation of feedback systems using passivity indices. 1833–1838. 31 indexed citations
18.
Aziz, H. M. Abdul, Feng Zhu, & Satish V. Ukkusuri. (2013). Reinforcement Learning-Based Signal Control Using R-Markov Average Reward Technique (RMART) Accounting for Neighborhood Congestion Information Sharing. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 4 indexed citations
19.
Antsaklis, Panos J., Michael J. McCourt, Han Yu, Po Wu, & Feng Zhu. (2012). Cyber-Physical Systems design using dissipativity. Chinese Control Conference. 1–5. 9 indexed citations
20.
Zhu, Feng. (2010). Optimal design of speed adaptive disturbance rejection controller for brushless DC motor based on immune clonal selection algorithms. Dianji yu kongzhi xuebao. 2 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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