Liang Peng

1.6k total citations
84 papers, 1.0k citations indexed

About

Liang Peng is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Liang Peng has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 34 papers in Rehabilitation and 23 papers in Cognitive Neuroscience. Recurrent topics in Liang Peng's work include Muscle activation and electromyography studies (35 papers), Stroke Rehabilitation and Recovery (34 papers) and Prosthetics and Rehabilitation Robotics (22 papers). Liang Peng is often cited by papers focused on Muscle activation and electromyography studies (35 papers), Stroke Rehabilitation and Recovery (34 papers) and Prosthetics and Rehabilitation Robotics (22 papers). Liang Peng collaborates with scholars based in China, Macao and France. Liang Peng's co-authors include Zeng‐Guang Hou, Weiqun Wang, Chen Wang, Long Cheng, Lina Tong, Yongping Pan, Tairen Sun, Jun Zhao, Yixiong Chen and Jingyue Li and has published in prestigious journals such as Nature Communications, IEEE Transactions on Industrial Electronics and European Journal of Operational Research.

In The Last Decade

Liang Peng

76 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Peng China 18 559 331 181 163 113 84 1.0k
Shingo Shimoda Japan 19 502 0.9× 202 0.6× 361 2.0× 196 1.2× 151 1.3× 108 1.1k
Bor-Shing Lin Taiwan 18 378 0.7× 129 0.4× 294 1.6× 71 0.4× 198 1.8× 106 1.3k
Weiqun Wang China 17 422 0.8× 259 0.8× 234 1.3× 81 0.5× 93 0.8× 67 826
Xiujuan Zheng China 12 259 0.5× 225 0.7× 130 0.7× 63 0.4× 108 1.0× 54 765
José María Sabater-Navarro Spain 20 632 1.1× 178 0.5× 156 0.9× 201 1.2× 102 0.9× 119 1.2k
Roman Kamnik Slovenia 18 633 1.1× 127 0.4× 87 0.5× 182 1.1× 105 0.9× 58 1.3k
Mitsuhiro Hayashibe Japan 24 1.1k 2.0× 194 0.6× 599 3.3× 206 1.3× 318 2.8× 193 2.0k
Jianhua Wang China 18 735 1.3× 210 0.6× 188 1.0× 130 0.8× 84 0.7× 111 1.1k
Monica Reggiani Italy 21 1.5k 2.8× 222 0.7× 522 2.9× 205 1.3× 206 1.8× 69 2.1k
Nitin Sharma United States 27 1.5k 2.6× 487 1.5× 291 1.6× 452 2.8× 41 0.4× 138 2.1k

Countries citing papers authored by Liang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Liang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Peng. A scholar is included among the top collaborators of Liang Peng 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 Liang Peng. Liang Peng 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.
Zhao, Hongbo, et al.. (2025). Efficient Gamma-Based Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement. Applied Sciences. 15(13). 7382–7382.
2.
Wang, Chen, et al.. (2025). A Graph-Based Multimodal Fusion Framework for Assessment of Freezing of Gait in Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1539–1549. 2 indexed citations
3.
Peng, Liang, et al.. (2024). Novel Vibrating Foot Orthoses for Improving Tactile Sensation in Type 2 Diabetes With Peripheral Neuropathy. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2993–3005. 1 indexed citations
4.
Wang, Chen, et al.. (2024). A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients. IEEE Transactions on Biomedical Engineering. 71(10). 2936–2947. 1 indexed citations
5.
Asimit, Alexandru V., et al.. (2024). A revisit of the optimal excess-of-loss contract. European Journal of Operational Research. 322(1). 341–354.
6.
Wang, Chen, et al.. (2023). Modeling and Assessing Hip-Knee Joint Coordination Based on Cyclograms Using a Portable Motion Capture System. IEEE Transactions on Medical Robotics and Bionics. 6(1). 245–256. 4 indexed citations
7.
Tong, Lina, et al.. (2023). sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN. IEEE Sensors Journal. 23(10). 11082–11090. 9 indexed citations
8.
Tong, Lina, et al.. (2023). A Graded Assessment System for Parkinson’s Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model. IEEE Sensors Journal. 23(23). 29283–29292. 1 indexed citations
9.
Wang, Chen, et al.. (2023). An Easy-to-Use Assessment System for Spasticity Severity Quantification in Post-Stroke Rehabilitation. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 828–839. 3 indexed citations
10.
Wang, Chen, Liang Peng, & Zeng‐Guang Hou. (2022). A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot. IEEE Transactions on Systems Man and Cybernetics Systems. 52(12). 7737–7747. 20 indexed citations
11.
Wang, Chen, Liang Peng, Zeng‐Guang Hou, et al.. (2021). A Hierarchical Architecture for Multisymptom Assessment of Early Parkinson’s Disease via Wearable Sensors. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1553–1563. 12 indexed citations
12.
Wang, Chen, et al.. (2021). The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2242–2251. 10 indexed citations
13.
Wang, Chen, Liang Peng, Zeng‐Guang Hou, et al.. (2020). Quantitative Assessment of Upper-Limb Motor Function for Post-Stroke Rehabilitation Based on Motor Synergy Analysis and Multi-Modality Fusion. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(4). 943–952. 54 indexed citations
14.
Wang, Weiqun, Zeng‐Guang Hou, Badong Chen, et al.. (2020). Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning. IEEE Transactions on Industrial Electronics. 68(6). 5217–5226. 17 indexed citations
15.
Wang, Chen, Liang Peng, Zeng‐Guang Hou, et al.. (2019). Kinematic Redundancy Analysis during Goal-Directed Motion for Trajectory Planning of an Upper-Limb Exoskeleton Robot. PubMed. 2019. 5251–5255. 8 indexed citations
16.
Bian, Gui‐Bin, Zeng‐Guang Hou, Jun Zhao, et al.. (2018). Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(4). 856–864. 48 indexed citations
17.
Peng, Liang, et al.. (2018). An Assist-as-Needed Controller for Robotic Rehabilitation Therapy Based on RBF Network. 1–7. 3 indexed citations
18.
Shen, Anwen, et al.. (2012). A new Autonomous Underwater Robotic Fish designed for water quality monitoring. International Conference on Modelling, Identification and Control. 561–566. 3 indexed citations
19.
Peng, Liang. (2012). A new multi-scale representation approach for line features. Cehui kexue. 1 indexed citations
20.
Yang, Chen, Lieven Eeckhout, Grigori Fursin, et al.. (2010). Evaluating iterative optimization across 1000 datasets. ACM SIGPLAN Notices. 45(6). 448–459. 1 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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