Shangding Gu

871 total citations · 1 hit paper
24 papers, 507 citations indexed

About

Shangding Gu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Ocean Engineering. According to data from OpenAlex, Shangding Gu has authored 24 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Automotive Engineering and 7 papers in Ocean Engineering. Recurrent topics in Shangding Gu's work include Autonomous Vehicle Technology and Safety (8 papers), Robotic Path Planning Algorithms (8 papers) and Maritime Navigation and Safety (7 papers). Shangding Gu is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Robotic Path Planning Algorithms (8 papers) and Maritime Navigation and Safety (7 papers). Shangding Gu collaborates with scholars based in China, Germany and United Kingdom. Shangding Gu's co-authors include Alois Knoll, Guang Chen, Yuanqiao Wen, Man Zhu, Changshi Xiao, Chunhui Zhou, Zhe Du, Liang Huang, Florian Walter and Yali Du and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and IEEE Transactions on Cybernetics.

In The Last Decade

Shangding Gu

21 papers receiving 490 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.

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications

2024 66 citations Shangding Gu, Yang Long et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shangding Gu China	11	173	160	139	111	96	24	507
Miao Liu China	10	343 2.0×	161 1.0×	186 1.3×	307 2.8×	173 1.8×	33	707
Seungho Lee South Korea	10	209 1.2×	34 0.2×	108 0.8×	108 1.0×	116 1.2×	27	481
You Hong Eng Singapore	10	252 1.5×	75 0.5×	187 1.3×	89 0.8×	366 3.8×	13	647
Elias K. Xidias Greece	14	209 1.2×	94 0.6×	160 1.2×	57 0.5×	50 0.5×	41	512
Gennaro Notomista United States	13	169 1.0×	53 0.3×	254 1.8×	111 1.0×	82 0.9×	35	643
Pengzhan Chen China	10	122 0.7×	36 0.2×	149 1.1×	96 0.9×	62 0.6×	29	410
Liping Zheng China	13	245 1.4×	44 0.3×	55 0.4×	71 0.6×	55 0.6×	74	477
Yali Yuan China	13	77 0.4×	100 0.6×	144 1.0×	174 1.6×	79 0.8×	40	705
Qun Niu China	12	272 1.6×	72 0.5×	69 0.5×	297 2.7×	39 0.4×	37	689

Countries citing papers authored by Shangding Gu

Since Specialization

Citations

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

Fields of papers citing papers by Shangding Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangding Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gu, Shangding, et al.. (2025). Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3322–3331.

Zhu, Man, et al.. (2025). A multi-objective path planning method for ships based on constrained policy optimization. Ocean Engineering. 319. 120165–120165. 2 indexed citations

Qu, Sanqing, et al.. (2025). Retrieve-then-compare mitigates visual hallucination in multi-modal large language models. 5(2). 248–75. 1 indexed citations

Hou, Jing, et al.. (2024). Spreeze: High-Throughput Parallel Reinforcement Learning Framework. IEEE Transactions on Parallel and Distributed Systems. 36(2). 282–292.

Gu, Shangding, et al.. (2024). Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control. IEEE Transactions on Industrial Informatics. 20(9). 10706–10716. 2 indexed citations

Gu, Shangding, Yang Long, Yali Du, et al.. (2024). A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11216–11235. 66 indexed citations breakdown →

Gu, Shangding, et al.. (2024). ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds. IEEE Transactions on Automation Science and Engineering. 22. 5841–5851.

Gu, Shangding, et al.. (2024). Safe Multiagent Reinforcement Learning With Bilevel Optimization in Autonomous Driving. IEEE Transactions on Artificial Intelligence. 6(4). 829–842. 1 indexed citations

Gu, Shangding, et al.. (2024). Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21099–21106. 2 indexed citations

10.

Gu, Shangding, Yuanpei Chen, Yali Du, et al.. (2023). Safe multi-agent reinforcement learning for multi-robot control. Artificial Intelligence. 319. 103905–103905. 53 indexed citations

11.

Gu, Shangding, Zhijun Li, Jing Hou, et al.. (2023). UAC: Offline Reinforcement Learning With Uncertain Action Constraint. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 671–680. 4 indexed citations

12.

Hou, Jing, Guang Chen, Zhijun Li, et al.. (2023). Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots. IEEE Transactions on Cybernetics. 54(5). 2771–2783. 9 indexed citations

13.

Gu, Shangding, et al.. (2023). A human-centered safe robot reinforcement learning framework with interactive behaviors. Frontiers in Neurorobotics. 17. 1280341–1280341. 11 indexed citations

14.

Gu, Shangding, Man Zhu, Guang Chen, Yuanqiao Wen, & Alois Knoll. (2022). Computing position error margin for a USV due to wind and current with a trajectory model. Ocean Engineering. 262. 111950–111950. 7 indexed citations

15.

Gu, Shangding, Chunhui Zhou, Yuanqiao Wen, Changshi Xiao, & Alois Knoll. (2022). Motion Planning for an Unmanned Surface Vehicle with Wind and Current Effects. Journal of Marine Science and Engineering. 10(3). 420–420. 9 indexed citations

16.

Chen, Guang, Zhijun Li, Wei He, et al.. (2021). KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud. IEEE Transactions on Artificial Intelligence. 3(2). 207–217. 12 indexed citations

17.

Chen, Guang, Jing Hou, Zhijun Li, et al.. (2020). Multiobjective Scheduling Strategy With Genetic Algorithm and Time-Enhanced A* Planning for Autonomous Parking Robotics in High-Density Unmanned Parking Lots. IEEE/ASME Transactions on Mechatronics. 26(3). 1547–1557. 38 indexed citations

18.

Lü, Fan, et al.. (2020). Pole-based Localization for Autonomous Vehicles in Urban Scenarios Using Local Grid Map-based Method. mediaTUM (Technical University of Munich). 640–645. 10 indexed citations

19.

Gu, Shangding, Chunhui Zhou, Yuanqiao Wen, et al.. (2020). A motion planning method for unmanned surface vehicle in restricted waters. Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment. 234(2). 332–345. 19 indexed citations

20.

Zhou, Chunhui, Shangding Gu, Yuanqiao Wen, et al.. (2020). Motion planning for an unmanned surface vehicle based on topological position maps. Ocean Engineering. 198. 106798–106798. 18 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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