Jin I. Ge

1.2k total citations · 1 hit paper
19 papers, 990 citations indexed

About

Jin I. Ge is a scholar working on Control and Systems Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jin I. Ge has authored 19 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 12 papers in Automotive Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Jin I. Ge's work include Traffic control and management (17 papers), Autonomous Vehicle Technology and Safety (9 papers) and Vehicular Ad Hoc Networks (VANETs) (8 papers). Jin I. Ge is often cited by papers focused on Traffic control and management (17 papers), Autonomous Vehicle Technology and Safety (9 papers) and Vehicular Ad Hoc Networks (VANETs) (8 papers). Jin I. Ge collaborates with scholars based in United States, Hungary and Germany. Jin I. Ge's co-authors include Gábor Orosz, Chaozhe R. He, Sergei S. Avedisov, Wubing B. Qin, Mehdi Sadeghpour, Tamás Insperger, Dávid Hajdu, Richard M. Murray, Dániel Bachrathy and Linjun Zhang and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Jin I. Ge

19 papers receiving 971 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamics of connected vehicle systems with delayed acceleration feedback

2014 369 citations Jin I. Ge, Gábor Orosz Transportation Research Part C Emerging Technologies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin I. Ge United States	10	908	579	387	273	237	19	990
John Spring United States	7	866 1.0×	604 1.0×	457 1.2×	263 1.0×	219 0.9×	15	1.0k
Matt Bunting United States	11	765 0.8×	549 0.9×	376 1.0×	124 0.5×	234 1.0×	33	975
Fangyu Wu United States	7	626 0.7×	464 0.8×	323 0.8×	185 0.7×	182 0.8×	16	857
Ellen van Nunen Netherlands	9	696 0.8×	474 0.8×	294 0.8×	310 1.1×	132 0.6×	20	813
Rahul Bhadani United States	9	749 0.8×	542 0.9×	366 0.9×	124 0.5×	228 1.0×	28	921
Abdeljalil Abbas‐Turki France	14	484 0.5×	341 0.6×	272 0.7×	148 0.5×	138 0.6×	64	682
Cathy Wu United States	12	539 0.6×	412 0.7×	219 0.6×	72 0.3×	225 0.9×	41	726
Changyin Dong China	15	499 0.5×	430 0.7×	242 0.6×	182 0.7×	163 0.7×	47	699
Biao Xu China	12	524 0.6×	385 0.7×	177 0.5×	148 0.5×	121 0.5×	49	683
Wubing B. Qin United States	11	495 0.5×	303 0.5×	206 0.5×	190 0.7×	106 0.4×	16	556

Countries citing papers authored by Jin I. Ge

Since Specialization

Citations

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

Fields of papers citing papers by Jin I. Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin I. Ge. 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 Jin I. Ge. The network helps show where Jin I. Ge may publish in the future.

Co-authorship network of co-authors of Jin I. Ge

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

All Works

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19 of 19 papers shown

Huyan, Chenxi, Tianyu Wang, Jin I. Ge, et al.. (2025). Recyclable Polyurethane Thermosets with High Rigidness and Toughness via Side Chain Induced Dual Phase Separation Strategy. Advanced Materials. 38(1). e11620–e11620. 2 indexed citations

Sadeghpour, Mehdi, et al.. (2020). On the moment dynamics of stochastically delayed linear control systems. International Journal of Robust and Nonlinear Control. 30(18). 8074–8097. 14 indexed citations

He, Chaozhe R., Jin I. Ge, & Gábor Orosz. (2019). Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic. IEEE Transactions on Control Systems Technology. 28(6). 2474–2481. 38 indexed citations

Hajdu, Dávid, Jin I. Ge, Tamás Insperger, & Gábor Orosz. (2019). Robust Design of Connected Cruise Control Among Human-Driven Vehicles. IEEE Transactions on Intelligent Transportation Systems. 21(2). 749–761. 43 indexed citations

Ge, Jin I., Bastian Schürmann, Richard M. Murray, & Matthias Althoff. (2019). Risk-aware motion planning for automated vehicle among human-driven cars. mediaTUM (Technical University of Munich). 3987–3993. 7 indexed citations

Ge, Jin I. & Richard M. Murray. (2018). Voluntary lane-change policy synthesis with control improvisation. 45. 3640–3647. 3 indexed citations

Ge, Jin I. & Gábor Orosz. (2018). Connected cruise control among human-driven vehicles: Experiment-based parameter estimation and optimal control design. Transportation Research Part C Emerging Technologies. 95. 445–459. 77 indexed citations

He, Chaozhe R., Jin I. Ge, & Gábor Orosz. (2018). Data-based fuel-economy optimization of connected automated trucks in traffic. 5576–5581. 6 indexed citations

Ge, Jin I., Sergei S. Avedisov, Chaozhe R. He, et al.. (2018). Experimental validation of connected automated vehicle design among human-driven vehicles. Transportation Research Part C Emerging Technologies. 91. 335–352. 153 indexed citations

10.

Ge, Jin I. & Gábor Orosz. (2017). Data-driven parameter estimation for optimal connected cruise control. 3739–3744. 6 indexed citations

11.

Ge, Jin I.. (2017). Connected Cruise Control Design in Mixed Traffic Flow Consisting of Human-Driven and Automated Vehicles. Deep Blue (University of Michigan). 1 indexed citations

12.

Orosz, Gábor, Jin I. Ge, Chaozhe R. He, et al.. (2017). Seeing Beyond the Line of Site – Controlling Connected Automated Vehicles. Mechanical Engineering. 139(12). S8–S12. 18 indexed citations

13.

Ge, Jin I., Gábor Orosz, & Richard M. Murray. (2017). Connected cruise control design using probabilistic model checking. 4964–4970. 1 indexed citations

14.

Ge, Jin I. & Gábor Orosz. (2016). Estimation of feedback gains and delays in connected vehicle systems. 6000–6005. 6 indexed citations

15.

Ge, Jin I. & Gábor Orosz. (2016). Optimal Control of Connected Vehicle Systems With Communication Delay and Driver Reaction Time. IEEE Transactions on Intelligent Transportation Systems. 18(8). 2056–2070. 202 indexed citations

16.

Ge, Jin I. & Gábor Orosz. (2015). Optimized connected cruise control with time delay. IFAC-PapersOnLine. 48(12). 468–473. 2 indexed citations

17.

Ge, Jin I. & Gábor Orosz. (2014). Dynamics of connected vehicle systems with delayed acceleration feedback. Transportation Research Part C Emerging Technologies. 46. 46–64. 369 indexed citations breakdown →

18.

Ge, Jin I. & Gábor Orosz. (2014). Optimal control of connected vehicle systems. 4107–4112. 27 indexed citations

19.

Ge, Jin I., Sergei S. Avedisov, & Gábor Orosz. (2013). Stability of Connected Vehicle Platoons With Delayed Acceleration Feedback. 15 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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