Yu Han

2.1k total citations
89 papers, 1.4k citations indexed

About

Yu Han is a scholar working on Control and Systems Engineering, Building and Construction and Computer Networks and Communications. According to data from OpenAlex, Yu Han has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 21 papers in Building and Construction and 18 papers in Computer Networks and Communications. Recurrent topics in Yu Han's work include Traffic control and management (22 papers), Traffic Prediction and Management Techniques (19 papers) and Transportation Planning and Optimization (13 papers). Yu Han is often cited by papers focused on Traffic control and management (22 papers), Traffic Prediction and Management Techniques (19 papers) and Transportation Planning and Optimization (13 papers). Yu Han collaborates with scholars based in China, United States and Netherlands. Yu Han's co-authors include Panos J. Antsaklis, Andreas Hegyi, Yufei Yuan, Serge Hoogendoorn, Eloy García, Yongcan Cao, David W. Casbeer, Meng Wang, Claudio Roncoli and Ludovic Leclercq and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Annals of Internal Medicine.

In The Last Decade

Yu Han

79 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Han China 20 839 499 285 251 211 89 1.4k
Dengfeng Sun United States 20 497 0.6× 183 0.4× 141 0.5× 217 0.9× 124 0.6× 103 1.3k
Shi Zhong-ke China 23 1000 1.2× 75 0.2× 489 1.7× 528 2.1× 199 0.9× 72 1.5k
Peng Sun Canada 22 369 0.4× 626 1.3× 432 1.5× 274 1.1× 156 0.7× 105 1.5k
Manjiang Hu China 17 589 0.7× 131 0.3× 109 0.4× 88 0.4× 491 2.3× 95 1.1k
Panayiotis Kolios Cyprus 19 270 0.3× 516 1.0× 120 0.4× 134 0.5× 131 0.6× 167 1.4k
Nan Li United States 17 769 0.9× 167 0.3× 96 0.3× 95 0.4× 546 2.6× 110 1.3k
Keith Redmill United States 22 807 1.0× 102 0.2× 214 0.8× 159 0.6× 1.0k 4.9× 89 1.8k
Ali Akbar Safavi Iran 17 670 0.8× 121 0.2× 88 0.3× 52 0.2× 54 0.3× 89 989
Mohamed H. Zaki Canada 22 516 0.6× 56 0.1× 273 1.0× 455 1.8× 368 1.7× 137 1.7k
Hesham El‐Sayed United Arab Emirates 18 192 0.2× 547 1.1× 123 0.4× 72 0.3× 183 0.9× 95 1.2k

Countries citing papers authored by Yu Han

Since Specialization
Citations

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

Fields of papers citing papers by Yu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Han. A scholar is included among the top collaborators of Yu Han 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 Yu Han. Yu Han 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.
Qin, Yanyan, Yu Huang, S. Yan, & Yu Han. (2025). Adaptive formation eco-driving framework for connected automated vehicles at signalized intersections: A deep reinforcement learning approach. Expert Systems with Applications. 279. 127509–127509. 3 indexed citations
2.
Ding, Fan, et al.. (2025). Reinforcement Learning–Based Ramp Metering Strategy Considering Queue Management. Journal of Advanced Transportation. 2025(1).
3.
Han, Yu, et al.. (2025). Time-Varying Channel Estimation and Extrapolation for XL-HRIS Aided Mobile Multiuser Systems. IEEE Transactions on Vehicular Technology. 74(12). 18858–18872.
4.
5.
Zhu, Linlin, Chunhui Wang, Xiaoqi Xi, et al.. (2024). A Tabletop Nano-CT Image Noise Reduction Network Based on 3-Dimensional Axial Attention Mechanism. Computers, materials & continua/Computers, materials & continua (Print). 80(1). 1711–1725.
6.
Petimar, Joshua, Jessica G. Young, Yu Han, et al.. (2024). Medication-Induced Weight Change Across Common Antidepressant Treatments. Annals of Internal Medicine. 177(8). 993–1003. 15 indexed citations
7.
Lin, Pi‐I D., S. L. Rifas‐Shiman, John D. Merriman, et al.. (2024). Trends of Antihypertensive Prescription Among US Adults From 2010 to 2019 and Changes Following Treatment Guidelines: Analysis of Multicenter Electronic Health Records. Journal of the American Heart Association. 13(9). e032197–e032197. 3 indexed citations
8.
Han, Yu, et al.. (2024). Perimeter control with heterogeneous metering rates for cordon signals: A physics-regularized multi-agent reinforcement learning approach. Transportation Research Part C Emerging Technologies. 171. 104944–104944. 7 indexed citations
9.
Han, Yu, et al.. (2024). Association between psychiatric disorders and glioma risk: evidence from Mendelian randomization analysis. BMC Cancer. 24(1). 118–118. 4 indexed citations
10.
Han, Yu, et al.. (2024). Low-Frequency Flexural Wave Acoustic Insulation Characteristics of a Double-Layer Metamaterial Plate. The International Journal of Acoustics and Vibration. 29(2). 221–227. 1 indexed citations
11.
Li, Zhibin, et al.. (2024). Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories. Accident Analysis & Prevention. 203. 107622–107622. 2 indexed citations
12.
Li, Mengyuan, Yu Han, & Shi Jin. (2024). Efficient Near-Field User Localization and Channel Reconstruction via Image Keypoint Detection. 1–5. 1 indexed citations
13.
Liu, Yuxiang, Yu Han, Yübo Wang, et al.. (2023). Assessment of the Impact of Abandoned Mine Water on Groundwater Environment. Water. 15(14). 2649–2649. 4 indexed citations
14.
Yu, Jiajie, et al.. (2023). Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach. Transportation Research Part C Emerging Technologies. 154. 104281–104281. 23 indexed citations
15.
Han, Yu, et al.. (2023). A Strategy for Integrated Multi-Demands High-Performance Motion Planning Based on Nonlinear MPC. Applied Sciences. 13(22). 12443–12443. 1 indexed citations
16.
Wang, Shuyan, Yu Han, Zhiming Wu, & Zhiliang Huang. (2023). Numerical and Experimental Study on Caudal Fin Oscillation Mode in Hemispherical Space. Journal of Mechanisms and Robotics. 16(5). 1 indexed citations
17.
18.
Han, Yu, Hao Yu, Zhibin Li, et al.. (2021). An optimal control-based vehicle speed guidance strategy to improve traffic safety and efficiency against freeway jam waves. Accident Analysis & Prevention. 163. 106429–106429. 21 indexed citations
19.
Han, Yu, Le Liu, & Yiming Fang. (2017). ADAPTIVE ROBUST CONTROL FOR THE SPEED SYSTEM OF COLD STRIP MAIN ROLLING MILL BASED ON GLOBAL INTEGRAL SLIDING MODE. ICIC express letters. Part B, Applications. 8(3). 593–600. 1 indexed citations
20.
Han, Yu, et al.. (2006). Plan switching: an approach to plan execution in changing environments. International Parallel and Distributed Processing Symposium. 163–163. 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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