Shangqin Tang
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 6
- Aerospace Engineering top 10%
- Guidance and Control Systems 8
- Military Defense Systems Analysis 5
- Aerospace and Aviation Technology 4
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- Advanced Multi-Objective Optimization Algorithms 2
- Adaptive Dynamic Programming Control 1
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- Robotic Path Planning Algorithms 4
- Co-authors
- Huan ZhouTong HanYintong LiChangqiang HuangHui ZhaoHanqiao HuangLei XieZhuoran Zhang
- Journals
- Information Sciences (2 papers)Complex & Intelligent Systems (2 papers)Computational Intelligence and Neuroscience (2 papers)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Shangqin Tang
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 218
- Aerospace Engineering 131
- Computational Theory and Mathematics 80
- Computer Vision and Pattern Recognition 61
- Automotive Engineering 19
Countries citing papers authored by Shangqin Tang
This map shows the geographic impact of Shangqin 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 Shangqin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangqin Tang more than expected).
Fields of papers citing papers by Shangqin Tang
This network shows the impact of papers produced by Shangqin 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 Shangqin Tang. The network helps show where Shangqin Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shangqin Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 53 | |
| 8 | 2022 | 63 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 26 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 32 | |
| 17 | 2018 | 95 | |
| 18 | 2016 | 2 | |
| 19 | 2011 | 1 |
About Shangqin Tang
Shangqin Tang is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 374 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Guidance and Control Systems (8 papers), Evolutionary Algorithms and Applications (6 papers), Military Defense Systems Analysis (5 papers), Aerospace and Aviation Technology (4 papers), Robotic Path Planning Algorithms (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Adaptive Dynamic Programming Control (1 paper). The work is most often cited by research in Artificial Intelligence (218 citations), Aerospace Engineering (131 citations) and Computational Theory and Mathematics (80 citations). Shangqin Tang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Huan Zhou, Tong Han, Yintong Li, Changqiang Huang, Hui Zhao, Hanqiao Huang, Lei Xie, Zhuoran Zhang, Andi Tang and Yuan Wang. Their work appears in journals such as Information Sciences, Complex & Intelligent Systems, Computational Intelligence and Neuroscience, Swarm and Evolutionary Computation and Nonlinear Dynamics.
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.