Enhao Zheng

777 total citations
32 papers, 582 citations indexed

About

Enhao Zheng is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Control and Systems Engineering. According to data from OpenAlex, Enhao Zheng has authored 32 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 12 papers in Physical Therapy, Sports Therapy and Rehabilitation and 2 papers in Control and Systems Engineering. Recurrent topics in Enhao Zheng's work include Muscle activation and electromyography studies (28 papers), Prosthetics and Rehabilitation Robotics (21 papers) and Advanced Sensor and Energy Harvesting Materials (13 papers). Enhao Zheng is often cited by papers focused on Muscle activation and electromyography studies (28 papers), Prosthetics and Rehabilitation Robotics (21 papers) and Advanced Sensor and Energy Harvesting Materials (13 papers). Enhao Zheng collaborates with scholars based in China, Italy and Hong Kong. Enhao Zheng's co-authors include Qining Wang, Baojun Chen, Long Wang, Kunlin Wei, Hong Qiao, Nicola Vitiello, Andrea Parri, Tingfang Yan, Xiaodan Fan and Tong Liang and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and Neurocomputing.

In The Last Decade

Enhao Zheng

31 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enhao Zheng China 13 532 113 99 52 45 32 582
Jonathan Camargo United States 10 435 0.8× 92 0.8× 106 1.1× 38 0.7× 37 0.8× 21 502
Kyoungchul Kong United States 8 667 1.3× 229 2.0× 106 1.1× 93 1.8× 40 0.9× 9 746
Weiguang Huo China 14 718 1.3× 367 3.2× 74 0.7× 42 0.8× 55 1.2× 35 877
Alessandro Persichetti Italy 8 324 0.6× 114 1.0× 23 0.2× 46 0.9× 61 1.4× 10 365
Dheepak Arumukhom Revi United States 6 463 0.9× 192 1.7× 71 0.7× 28 0.5× 27 0.6× 9 540
Daniel Laidig Germany 11 148 0.3× 60 0.5× 98 1.0× 33 0.6× 46 1.0× 21 380
Joost Geeroms Belgium 21 942 1.8× 260 2.3× 60 0.6× 43 0.8× 22 0.5× 41 1.0k
Andrea Tigrini Italy 14 233 0.4× 49 0.4× 87 0.9× 18 0.3× 110 2.4× 45 360
Filippo Casamassima Italy 7 308 0.6× 31 0.3× 97 1.0× 47 0.9× 105 2.3× 15 459
Dabin K. Choe United States 6 414 0.8× 146 1.3× 47 0.5× 22 0.4× 27 0.6× 10 460

Countries citing papers authored by Enhao Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Enhao Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enhao Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Enhao Zheng. A scholar is included among the top collaborators of Enhao Zheng 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 Enhao Zheng. Enhao Zheng 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.
Zheng, Enhao, Xiaodong Liu, Chenfeng Xu, Zhihao Zhou, & Qining Wang. (2025). Representation of Human arm Dynamic Intents With an Electrical Impedance Tomography (EIT)-Driven Musculoskeletal Model for Human–Robot Interaction. IEEE Transactions on Robotics. 41. 3278–3296. 1 indexed citations
2.
Yang, Lin, et al.. (2024). Hierarchical Human Motion Intention Prediction for Increasing Efficacy of Human-Robot Collaboration. IEEE Robotics and Automation Letters. 9(9). 7637–7644. 3 indexed citations
3.
Jiang, Dongjie, Zilu Wang, Enhao Zheng, et al.. (2024). A Dual‐Mode, Scalable, Machine‐Learning‐Enhanced Wearable Sensing System for Synergetic Muscular Activity Monitoring. Advanced Materials Technologies. 10(3). 7 indexed citations
4.
Zheng, Enhao, et al.. (2024). Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition. IEEE/ASME Transactions on Mechatronics. 29(6). 4120–4130. 1 indexed citations
5.
Zheng, Enhao, et al.. (2023). Adaptive Locomotion Transition Recognition With Wearable Sensors for Lower Limb Robotic Prosthesis. IEEE/ASME Transactions on Mechatronics. 29(1). 279–289. 6 indexed citations
6.
Liu, Xiaodong, Enhao Zheng, & Qining Wang. (2022). Real-Time Wrist Motion Decoding With High Framerate Electrical Impedance Tomography (EIT). IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 690–699. 8 indexed citations
7.
Zheng, Enhao, Jingzhi Zhang, Qining Wang, & Hong Qiao. (2021). Continuous Multi-DoF Wrist Kinematics Estimation Based on a Human–Machine Interface With Electrical-Impedance-Tomography. Frontiers in Neurorobotics. 15. 734525–734525. 7 indexed citations
8.
Zheng, Enhao, et al.. (2020). An Electrical Impedance Tomography Based Interface for Human–Robot Collaboration. IEEE/ASME Transactions on Mechatronics. 26(5). 2373–2384. 22 indexed citations
9.
Zheng, Enhao, Zhendong Zhang, Jingeng Mai, Qining Wang, & Hong Qiao. (2019). A Pilot Study on Continuous Breaststroke Phase Recognition with Fast Training Based on Lower-Limb Inertial Signals. PubMed. 2019. 1228–1232. 7 indexed citations
10.
Crea, Simona, Andrea Parri, Enhao Zheng, et al.. (2019). Controlling a Robotic Hip Exoskeleton With Noncontact Capacitive Sensors. IEEE/ASME Transactions on Mechatronics. 24(5). 2227–2235. 31 indexed citations
11.
Zheng, Enhao, et al.. (2018). Forearm Motion Recognition With Noncontact Capacitive Sensing. Frontiers in Neurorobotics. 12. 47–47. 12 indexed citations
12.
Zheng, Enhao, Qining Wang, & Hong Qiao. (2018). Identification of the relationships between noncontact capacitive sensing signals and continuous grasp forces: Preliminary study. PubMed. 29. 3922–3925. 2 indexed citations
13.
Zheng, Enhao, et al.. (2017). Gait Phase Estimation Based on Noncontact Capacitive Sensing and Adaptive Oscillators. IEEE Transactions on Biomedical Engineering. 64(10). 2419–2430. 64 indexed citations
14.
Zheng, Enhao & Qining Wang. (2016). Noncontact Capacitive Sensing-Based Locomotion Transition Recognition for Amputees With Robotic Transtibial Prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(2). 161–170. 64 indexed citations
15.
Zheng, Enhao, Jingeng Mai, & Qining Wang. (2014). On the design and implementation of a tri-ellipsoid unmanned autonomous blimp. 33. 724–729. 1 indexed citations
16.
Zheng, Enhao, Long Wang, Kunlin Wei, & Qining Wang. (2014). A Noncontact Capacitive Sensing System for Recognizing Locomotion Modes of Transtibial Amputees. IEEE Transactions on Biomedical Engineering. 61(12). 2911–2920. 76 indexed citations
17.
Chen, Baojun, Enhao Zheng, & Qining Wang. (2014). A Locomotion Intent Prediction System Based on Multi-Sensor Fusion. Sensors. 14(7). 12349–12369. 52 indexed citations
18.
19.
Zheng, Enhao, Baojun Chen, Kunlin Wei, & Qining Wang. (2013). Lower Limb Wearable Capacitive Sensing and Its Applications to Recognizing Human Gaits. Sensors. 13(10). 13334–13355. 19 indexed citations
20.
Chen, Baojun, Enhao Zheng, Xiaodan Fan, et al.. (2013). Locomotion Mode Classification Using a Wearable Capacitive Sensing System. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(5). 744–755. 72 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jonathan Camargo Breakdown of academic impact, for papers by Kyoungchul Kong Breakdown of academic impact, for papers by Weiguang Huo Breakdown of academic impact, for papers by Alessandro Persichetti Breakdown of academic impact, for papers by Dheepak Arumukhom Revi Breakdown of academic impact, for papers by Daniel Laidig Breakdown of academic impact, for papers by Joost Geeroms Breakdown of academic impact, for papers by Andrea Tigrini Breakdown of academic impact, for papers by Filippo Casamassima Breakdown of academic impact, for papers by Dabin K. Choe
Rankless by CCL
2026