Xiaolin Tang

7.3k total citations · 1 hit paper
154 papers, 5.6k citations indexed

About

Xiaolin Tang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Xiaolin Tang has authored 154 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Automotive Engineering, 53 papers in Electrical and Electronic Engineering and 36 papers in Control and Systems Engineering. Recurrent topics in Xiaolin Tang's work include Electric and Hybrid Vehicle Technologies (56 papers), Electric Vehicles and Infrastructure (42 papers) and Autonomous Vehicle Technology and Safety (34 papers). Xiaolin Tang is often cited by papers focused on Electric and Hybrid Vehicle Technologies (56 papers), Electric Vehicles and Infrastructure (42 papers) and Autonomous Vehicle Technology and Safety (34 papers). Xiaolin Tang collaborates with scholars based in China, Canada and United States. Xiaolin Tang's co-authors include Xiao Hu, Teng Liu, Xianke Lin, Changfu Zou, Yechen Qin, Dongpu Cao, Kai Yang, Wei Yang, Lin Hu and Jiaxin Chen and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and IEEE Transactions on Industrial Electronics.

In The Last Decade

Xiaolin Tang

146 papers receiving 5.4k citations

Hit Papers

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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.

Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

2019 330 citations Xiao Hu, Xiaolin Tang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaolin Tang	4.3k	3.0k	1.2k	713	331	154	5.6k
Markus Lienkamp	3.6k 0.8×	2.7k 0.9×	665 0.6×	598 0.8×	484 1.5×	409	5.2k
Shichun Yang	3.9k 0.9×	4.1k 1.4×	1.3k 1.1×	621 0.9×	116 0.4×	239	6.3k
Yuan Zou	4.8k 1.1×	4.0k 1.3×	1.4k 1.2×	340 0.5×	126 0.4×	134	5.7k
Ardalan Vahidi	4.8k 1.1×	3.2k 1.0×	2.8k 2.4×	410 0.6×	159 0.5×	104	6.6k
Weida Wang	2.5k 0.6×	1.5k 0.5×	855 0.7×	354 0.5×	299 0.9×	192	3.1k
Guodong Yin	3.6k 0.8×	1.0k 0.3×	2.4k 2.0×	1.0k 1.4×	445 1.3×	344	5.0k
Huei Peng	3.3k 0.8×	2.4k 0.8×	981 0.8×	381 0.5×	156 0.5×	41	3.9k
Bingzhao Gao	2.4k 0.6×	907 0.3×	1.4k 1.1×	963 1.4×	220 0.7×	234	3.4k
Wanzhong Zhao	2.1k 0.5×	620 0.2×	1.3k 1.1×	721 1.0×	253 0.8×	163	2.9k

Countries citing papers authored by Xiaolin Tang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolin Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Tang

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

All Works

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20 of 20 papers shown

Chu, Wenbo, et al.. (2024). Large models for intelligent transportation systems and autonomous vehicles: A survey. Advanced Engineering Informatics. 62. 102786–102786. 22 indexed citations

Tang, Xiaolin, et al.. (2024). Mechanisms behind hazard recognition in potential rear-end collisions: An EEG study of cross-frequency phase synchrony in complex brain networks. Expert Systems with Applications. 259. 125298–125298. 1 indexed citations

Tang, Xiaolin, et al.. (2024). Learning-based hierarchical cooperative eco-driving with traffic flow prediction for hybrid electric vehicles. Energy Conversion and Management. 321. 119000–119000. 7 indexed citations

Li, Cheng, et al.. (2024). Research on car-following control and energy management strategy of hybrid electric vehicles in connected scene. Energy. 293. 130586–130586. 18 indexed citations

Chen, Jiaxin, Xiaolin Tang, & Kai Yang. (2024). A unified benchmark for deep reinforcement learning-based energy management: Novel training ideas with the unweighted reward. Energy. 307. 132687–132687. 4 indexed citations

Deng, Lei, Shen Li, Xiaolin Tang, Kai Yang, & Xianke Lin. (2023). Battery thermal- and cabin comfort-aware collaborative energy management for plug-in fuel cell electric vehicles based on the soft actor-critic algorithm. Energy Conversion and Management. 283. 116889–116889. 50 indexed citations

Li, Shen, et al.. (2023). Lithium-Plating Suppressed and Deep Deterministic Policy Gradient-Based Energy Management Strategy. IEEE Transactions on Transportation Electrification. 10(1). 1863–1875. 6 indexed citations

Yang, Kai, Xiaolin Tang, Jun Li, et al.. (2023). Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives. IEEE Transactions on Intelligent Transportation Systems. 24(9). 8963–8987. 52 indexed citations

Chen, Jiaxin, Shen Li, Kai Yang, Chongfeng Wei, & Xiaolin Tang. (2023). Deep Reinforcement Learning-Based Integrated Control of Hybrid Electric Vehicles Driven by Lane-Level High-Definition Map. IEEE Transactions on Transportation Electrification. 10(1). 1642–1655. 10 indexed citations

10.

Tang, Xiaolin, et al.. (2023). Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9725–9735. 26 indexed citations

11.

Li, Shen, et al.. (2023). Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review. IEEE Transactions on Intelligent Transportation Systems. 24(10). 10345–10361. 41 indexed citations

12.

Yang, Kai, et al.. (2023). Prediction Failure Risk-Aware Decision-Making for Autonomous Vehicles on Signalized Intersections. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12806–12820. 20 indexed citations

13.

Tang, Xiaolin, Kai Yang, Hong Wang, et al.. (2022). Driving Environment Uncertainty-Aware Motion Planning for Autonomous Vehicles. Chinese Journal of Mechanical Engineering. 35(1). 38 indexed citations

14.

Hu, Xiao, et al.. (2021). Powertrain Design and Control in Electrified Vehicles: A Critical Review. IEEE Transactions on Transportation Electrification. 7(3). 1990–2009. 93 indexed citations

15.

Yang, Kai, Xiaolin Tang, Yechen Qin, et al.. (2021). Comparative Study of Trajectory Tracking Control for Automated Vehicles via Model Predictive Control and Robust H-infinity State Feedback Control. Chinese Journal of Mechanical Engineering. 34(1). 55 indexed citations

16.

Guo, Xiaowei, et al.. (2020). Transfer Deep Reinforcement Learning-Enabled Energy Management Strategy for Hybrid Tracked Vehicle. IEEE Access. 8. 165837–165848. 41 indexed citations

17.

Xu, Bin, Xiao Hu, Xiaolin Tang, et al.. (2020). Ensemble Reinforcement Learning-Based Supervisory Control of Hybrid Electric Vehicle for Fuel Economy Improvement. IEEE Transactions on Transportation Electrification. 6(2). 717–727. 69 indexed citations

18.

Guo, Xiaowei, et al.. (2020). Dynamic analysis of the flexible hub-beam system based on rigid-flexible coupling mechanism. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 234(3). 536–545. 4 indexed citations

19.

Hu, Chuan, Xiaolin Tang, Liang Zou, et al.. (2019). Numerical and Experimental Investigations of Noise and Vibration Characteristics for a Dual-Motor Hybrid Electric Vehicle. IEEE Access. 7. 77052–77062. 15 indexed citations

20.

Liu, Teng, Xiaolin Tang, Hong Wang, Huilong Yu, & Xiao Hu. (2019). Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle. IEEE Transactions on Vehicular Technology. 68(12). 11513–11522. 147 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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