Gaoyang Pang

1.3k total citations · 1 hit paper
35 papers, 933 citations indexed

About

Gaoyang Pang is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Gaoyang Pang has authored 35 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 13 papers in Control and Systems Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Gaoyang Pang's work include Advanced Sensor and Energy Harvesting Materials (19 papers), Robot Manipulation and Learning (11 papers) and Tactile and Sensory Interactions (9 papers). Gaoyang Pang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (19 papers), Robot Manipulation and Learning (11 papers) and Tactile and Sensory Interactions (9 papers). Gaoyang Pang collaborates with scholars based in China, Australia and Sweden. Gaoyang Pang's co-authors include Geng Yang, Zhibo Pang, Huayong Yang, Zhiqiu Ye, Kaichen Xu, Jia Deng, Huayu Luo, Xiaoyan Huang, Wenzheng Heng and Honghao Lyu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Transactions on Industrial Electronics.

In The Last Decade

Gaoyang Pang

31 papers receiving 902 citations

Hit Papers

Machine Learning‐Enabled Tactile Sensor Design for Dynami... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaoyang Pang China 17 583 264 152 143 106 35 933
Ashish Dutta India 19 681 1.2× 334 1.3× 373 2.5× 93 0.7× 139 1.3× 131 1.4k
Hongliu Yu China 16 684 1.2× 192 0.7× 117 0.8× 84 0.6× 115 1.1× 171 1.3k
Andrius Dzedzickis Lithuania 11 201 0.3× 180 0.7× 111 0.7× 115 0.8× 88 0.8× 47 803
S. Parasuraman Malaysia 13 324 0.6× 165 0.6× 119 0.8× 62 0.4× 110 1.0× 82 792
Lisa-Marie Faller Austria 15 316 0.5× 92 0.3× 111 0.7× 161 1.1× 137 1.3× 58 660
Philipp Mittendorfer Germany 12 854 1.5× 580 2.2× 371 2.4× 179 1.3× 162 1.5× 21 1.1k
Tarek Taha United Arab Emirates 13 268 0.5× 98 0.4× 111 0.7× 135 0.9× 85 0.8× 55 873
Edward Grant United States 17 495 0.8× 67 0.3× 92 0.6× 258 1.8× 82 0.8× 71 966
Perla Maiolino United Kingdom 18 996 1.7× 583 2.2× 405 2.7× 162 1.1× 337 3.2× 79 1.4k
Mohsen Kaboli Germany 17 719 1.2× 657 2.5× 306 2.0× 390 2.7× 116 1.1× 43 1.4k

Countries citing papers authored by Gaoyang Pang

Since Specialization
Citations

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

Fields of papers citing papers by Gaoyang Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoyang Pang

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

All Works

20 of 20 papers shown
1.
Ye, Zhiqiu, Chao Zhang, Gaoyang Pang, et al.. (2025). Ion‐Electron Fusion Transparent Film for Interactive Soft Robotics. Advanced Science. 13(8). e16816–e16816.
2.
Pang, Gaoyang, Wanchun Liu, Dusit Niyato, et al.. (2025). Wireless Human–Machine Collaboration in Industry 5.0. IEEE Transactions on Wireless Communications. 25. 8546–8563.
3.
Pang, Gaoyang, et al.. (2025). Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control. IEEE Transactions on Cybernetics. 55(7). 3085–3098. 1 indexed citations
4.
Pang, Gaoyang, Wanchun Liu, Dusit Niyato, Branka Vucetic, & Yonghui Li. (2025). Communication-Control Codesign for Large-Scale Wireless Networked Control Systems. IEEE Journal on Selected Areas in Communications. 43(10). 3295–3312.
6.
Yang, Geng, Zhiqiu Ye, Ruohan Wang, et al.. (2024). A Digital Twin-Based Large-Area Robot Skin System for Safer Human-Centered Healthcare Robots Toward Healthcare 4.0. IEEE Transactions on Medical Robotics and Bionics. 6(3). 1104–1115. 7 indexed citations
7.
Wang, Ruohan, et al.. (2024). A Smooth Velocity Transition Framework Based on Hierarchical Proximity Sensing for Safe Human-Robot Interaction. IEEE Robotics and Automation Letters. 9(6). 4910–4917. 2 indexed citations
8.
Zhou, Huiying, et al.. (2024). Toward Human Motion Digital Twin: A Motion Capture System for Human-Centric Applications. IEEE Transactions on Automation Science and Engineering. 22. 619–630. 10 indexed citations
9.
Ye, Zhiqiu, et al.. (2023). Highly Stretchable and Sensitive Strain Sensor Based on Porous Materials and Rhombic‐Mesh Structures for Robot Teleoperation. SHILAP Revista de lepidopterología. 2(10). 16 indexed citations
11.
Lu, Yuyao, Geng Yang, Ruohan Wang, et al.. (2023). Machine Learning‐Enabled Tactile Sensor Design for Dynamic Touch Decoding. Advanced Science. 10(32). e2303949–e2303949. 103 indexed citations breakdown →
12.
Ye, Zhiqiu, et al.. (2022). Soft Robot Skin With Conformal Adaptability for On-Body Tactile Perception of Collaborative Robots. IEEE Robotics and Automation Letters. 7(2). 5127–5134. 41 indexed citations
13.
Lyu, Honghao, Gaoyang Pang, Baicun Wang, et al.. (2022). GuLiM: A Hybrid Motion Mapping Technique for Teleoperation of Medical Assistive Robot in Combating the COVID-19 Pandemic. IEEE Transactions on Medical Robotics and Bionics. 4(1). 106–117. 16 indexed citations
14.
Pang, Gaoyang, Wanchun Liu, Yonghui Li, & Branka Vucetic. (2022). Deep Reinforcement Learning for Radio Resource Allocation in NOMA-based Remote State Estimation. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 3059–3064. 3 indexed citations
15.
Yang, Geng, Gaoyang Pang, Zhiqiu Ye, et al.. (2022). Bioinspired Co‐Design of Tactile Sensor and Deep Learning Algorithm for Human–Robot Interaction. SHILAP Revista de lepidopterología. 4(6). 31 indexed citations
16.
Pang, Gaoyang, Geng Yang, & Zhibo Pang. (2021). Review of Robot Skin: A Potential Enabler for Safe Collaboration, Immersive Teleoperation, and Affective Interaction of Future Collaborative Robots. IEEE Transactions on Medical Robotics and Bionics. 3(3). 681–700. 61 indexed citations
17.
Luo, Huayu, Gaoyang Pang, Kaichen Xu, et al.. (2021). A Fully Printed Flexible Sensor Sheet for Simultaneous Proximity–Pressure–Temperature Detection. Advanced Materials Technologies. 6(11). 46 indexed citations
18.
Pang, Gaoyang, et al.. (2021). User-Interactive Robot Skin With Large-Area Scalability for Safer and Natural Human-Robot Collaboration in Future Telehealthcare. IEEE Journal of Biomedical and Health Informatics. 25(12). 4276–4288. 19 indexed citations
19.
Duan, Hong, et al.. (2019). A Sensor Glove for the Interaction with a Nursing-Care Assistive Robot. 405–410. 9 indexed citations
20.
Yang, Geng, Jia Deng, Gaoyang Pang, et al.. (2018). An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–10. 133 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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