Tingfang Yan

1.7k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Tingfang Yan is a scholar working on Biomedical Engineering, Rehabilitation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tingfang Yan has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 8 papers in Rehabilitation and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tingfang Yan's work include Muscle activation and electromyography studies (16 papers), Prosthetics and Rehabilitation Robotics (16 papers) and Stroke Rehabilitation and Recovery (8 papers). Tingfang Yan is often cited by papers focused on Muscle activation and electromyography studies (16 papers), Prosthetics and Rehabilitation Robotics (16 papers) and Stroke Rehabilitation and Recovery (8 papers). Tingfang Yan collaborates with scholars based in China, Italy and Hong Kong. Tingfang Yan's co-authors include Nicola Vitiello, Marco Cempini, Calogero Maria Oddo, Andrea Parri, Virginia Ruiz Garate, Renaud Ronsse, Mario Cortese, Francesco Giovacchini, Marko Munih and Federica Vannetti and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Tingfang Yan

28 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of assistive strategies in powered lower-limb orthoses and exoskeletons

2014 544 citations Tingfang Yan, Marco Cempini et al. Robotics and Autonomous Systems profile →

Peers

Tingfang Yan

BE

REHAB

PTSTR

PFM

CVPR

Keehong Seo South Korea

Youngbo Shim South Korea

Nikos Karavas United States

Weiguang Huo China

Hao Ma Hong Kong

Zhao Guo China

Christopher Siviy United States

Pieter Fiers Belgium

Rachel W. Jackson United States

Andrew Chu United States

Keehong Seo South Korea

Tingfang Yan

841 ×0.7

BE

339 ×0.7

REHAB

168 ×1.0

PTSTR

64 ×0.7

PFM

45 ×0.6

CVPR

Citations per year, relative to Tingfang Yan Tingfang Yan (= 1×) peers Keehong Seo

Countries citing papers authored by Tingfang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Tingfang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingfang Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Xiao, Qiang, Hong Xu, Qi Zhou, et al.. (2023). Perioperative safety and efficacy of robot-assisted total hip arthroplasty in ERAS-managed patients: a pilot study. Journal of Orthopaedic Surgery and Research. 18(1). 696–696. 8 indexed citations

2.

Xiao, Qiang, et al.. (2023). Robotic arm-assisted total hip arthroplasty for preoperative planning and intraoperative decision-making. Journal of Orthopaedic Surgery and Research. 18(1). 608–608. 5 indexed citations

3.

Chai, Wei, Jie Xie, Xiaogang Zhang, et al.. (2021). [A cadaveric experimental study on domestic robot-assisted total knee arthroplasty].. PubMed. 35(4). 409–413. 3 indexed citations

4.

Chai, Wei, Jie Xie, Xiaogang Zhang, et al.. (2020). [An animal experimental study on domestic robot-assisted total knee arthroplasty].. PubMed. 34(11). 1376–1381. 3 indexed citations

5.

Yang, Xing, Shuang Song, Li Liu, Tingfang Yan, & Max Q.‐H. Meng. (2019). Design and Optimization of Concentric Tube Robots Based on Surgical Tasks, Anatomical Constraints and Follow-the-Leader Deployment. IEEE Access. 7. 173612–173625. 25 indexed citations

6.

Wang, Chaoqun, Jiankun Wang, Chenming Li, et al.. (2019). Safe and Robust Mobile Robot Navigation in Uneven Indoor Environments. Sensors. 19(13). 2993–2993. 26 indexed citations

7.

Wang, Chaoqun, Jiyu Cheng, Wenzheng Chi, Tingfang Yan, & Max Q.‐H. Meng. (2019). Semantic-Aware Informative Path Planning for Efficient Object Search Using Mobile Robot. IEEE Transactions on Systems Man and Cybernetics Systems. 51(8). 5230–5243. 22 indexed citations

8.

Yan, Tingfang, et al.. (2018). Gait Phase Recognition Based on A Wearable Depth Camera. 66. 756–760. 4 indexed citations

9.

Garate, Virginia Ruiz, Andrea Parri, Tingfang Yan, et al.. (2017). Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks. Frontiers in Neurorobotics. 11. 15–15. 47 indexed citations

10.

Parri, Andrea, Dario Marconi, Tingfang Yan, et al.. (2017). Real-Time Hybrid Locomotion Mode Recognition for Lower Limb Wearable Robots. IEEE/ASME Transactions on Mechatronics. 22(6). 2480–2491. 68 indexed citations

11.

Garate, Virginia Ruiz, Andrea Parri, Tingfang Yan, et al.. (2016). Walking assistance using artificial primitives. IEEE Robotics & Automation Magazine. 3 indexed citations

12.

Parri, Andrea, Tingfang Yan, Long Wang, et al.. (2015). Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results. PubMed. 14. 3893–3896. 10 indexed citations

13.

Yan, Tingfang, Andrea Parri, Mario Cortese, et al.. (2015). A novel adaptive oscillators-based control for a powered multi-joint lower-limb orthosis. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 386–391. 20 indexed citations

14.

Parri, Andrea, Tingfang Yan, Long Wang, et al.. (2015). A realtime locomotion mode recognition method for an active pelvis orthosis. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 6196–6201. 15 indexed citations

15.

Giovacchini, Francesco, Federica Vannetti, Marco Cempini, et al.. (2014). A light-weight active orthosis for hip movement assistance. Robotics and Autonomous Systems. 73. 123–134. 209 indexed citations

16.

Yan, Tingfang, Marco Cempini, Calogero Maria Oddo, & Nicola Vitiello. (2014). Review of assistive strategies in powered lower-limb orthoses and exoskeletons. Robotics and Autonomous Systems. 64. 120–136. 544 indexed citations breakdown →

17.

Sui, Ning, Lina Wang, Tingfang Yan, et al.. (2014). Selective and sensitive biosensors based on metal-enhanced fluorescence. Sensors and Actuators B Chemical. 202. 1148–1153. 39 indexed citations

18.

Fu, Yanan, et al.. (2012). Key-frame selection in WCE video based on shot detection. 5030–5034. 10 indexed citations

19.

Zheng, Wei, Wei Liu, Qing He, et al.. (2011). The design of infrared touch screen based on MCU. 485–489. 5 indexed citations

20.

Song, Shuang, et al.. (2011). An improved method and algorithm for electromagnetic localization. 406–411. 6 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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