Shangding Gu

21 papers receiving 490 citations

Shangding Gu's Hit Papers

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications 2024 · 66 citations
660+1Years since publication204060

Peers

Shangding Gu
Comparison fields: 5 of 68
  • Ocean Engineering 160
  • Computer Vision and Pattern Recognition 173
  • Automotive Engineering 96
  • Control and Systems Engineering 139
  • Transportation 32
Replace Yali Yuan with:
Yali Yuan China
Elias K. Xidias Greece
Sampo Kuutti United Kingdom
Miao Liu China
Konstantinos Katsaros United Kingdom
Seungho Lee South Korea
Gennaro Notomista United States
Myounggyu Won United States
Liping Zheng China
Shangding Gu relative to Yali Yuan China Yali Yuan's profile →
Citations per field
00.5×1.5×2.2×
Yali Yuan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shangding Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shangding Gu Line = papers co-authored together Shangding Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020139
2 202276
3
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications
Hit paper breakdown →
202466
4 202353
5 202038
6 202220
7 202019
8 202018
9 202112
10 202311
11 202010
12 20229
13 20239
14 20228
15 20227
16 20234
17 20242
18 20252
19 20242
20 20251

About Shangding Gu

Shangding Gu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Ocean Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 24 papers that have together received 507 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Robotic Path Planning Algorithms (8 papers), Maritime Navigation and Safety (7 papers), Reinforcement Learning in Robotics (7 papers), Traffic control and management (4 papers), Ship Hydrodynamics and Maneuverability (2 papers), Robotics and Sensor-Based Localization (2 papers) and Adaptive Dynamic Programming Control (2 papers). The work is most often cited by research in Ocean Engineering (160 citations), Computer Vision and Pattern Recognition (173 citations), Automotive Engineering (96 citations), Control and Systems Engineering (139 citations) and Transportation (32 citations). Shangding Gu has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Alois Knoll, Guang Chen, Yuanqiao Wen, Man Zhu, Chunhui Zhou, Changshi Xiao, Zhe Du, Liang Huang, Florian Walter and Yali Du. Their work appears in journals such as Ocean Engineering, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment and IEEE Transactions on Cognitive and Developmental Systems.

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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