OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Deep Deterministic Policy Gradient Virtual Coupling control for the coordination and manoeuvring of heterogeneous uncertain nonlinear High-Speed Trains
Giacomo Basile, Dario Giuseppe Lui, Alberto Petrillo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108120-108120
Open Access | Times Cited: 7
Giacomo Basile, Dario Giuseppe Lui, Alberto Petrillo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108120-108120
Open Access | Times Cited: 7
Showing 7 citing articles:
An immune optimization deep reinforcement learning control method used for magnetorheological elastomer vibration absorber
Chi Wang, Weiheng Cheng, Hongli Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109108-109108
Closed Access | Times Cited: 5
Chi Wang, Weiheng Cheng, Hongli Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109108-109108
Closed Access | Times Cited: 5
Multi-step look ahead deep reinforcement learning approach for automatic train regulation of urban rail transit lines with energy-saving
Yunfeng Zhang, Shukai Li, Yin Yuan, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110181-110181
Closed Access
Yunfeng Zhang, Shukai Li, Yin Yuan, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110181-110181
Closed Access
Safety Prescribed Performance Control of Virtually-Coupled Trains with Multifold Kinematic Targets and Switching Constraints
Wenxiao Si, Shigen Gao
ISA Transactions (2025)
Closed Access
Wenxiao Si, Shigen Gao
ISA Transactions (2025)
Closed Access
A data-driven MPC approach for virtually coupled train set with non-analytic safety distance
Xiaolin Luo, Dongming Wang, Tao Tang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 174, pp. 105087-105087
Closed Access
Xiaolin Luo, Dongming Wang, Tao Tang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 174, pp. 105087-105087
Closed Access
A Cooperative Control Based Adaptive Zone Method For Virtually Coupled Train Set
S. Che, Debiao Lu, Baigen Cai, et al.
International Journal of Fuzzy Systems (2025)
Closed Access
S. Che, Debiao Lu, Baigen Cai, et al.
International Journal of Fuzzy Systems (2025)
Closed Access
Virtual track irregularity establishment for load prediction of heterogeneous bogie frames for virtually coupled trainsets
Chengxiang Ji, Youwei Song, Sun Shou-guang, et al.
Vehicle System Dynamics (2024) Vol. 63, Iss. 1, pp. 163-188
Closed Access | Times Cited: 1
Chengxiang Ji, Youwei Song, Sun Shou-guang, et al.
Vehicle System Dynamics (2024) Vol. 63, Iss. 1, pp. 163-188
Closed Access | Times Cited: 1
Guided deep reinforcement learning framework using automated curriculum scheme for accurate motion planning
Deun-Sol Cho, Jae-Min Cho, Won-Tae Kim
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109541-109541
Closed Access
Deun-Sol Cho, Jae-Min Cho, Won-Tae Kim
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109541-109541
Closed Access
