Qi An

954 total citations
85 papers, 562 citations indexed

About

Qi An is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Qi An has authored 85 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 31 papers in Biomedical Engineering and 23 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Qi An's work include Motor Control and Adaptation (23 papers), Balance, Gait, and Falls Prevention (23 papers) and Muscle activation and electromyography studies (23 papers). Qi An is often cited by papers focused on Motor Control and Adaptation (23 papers), Balance, Gait, and Falls Prevention (23 papers) and Muscle activation and electromyography studies (23 papers). Qi An collaborates with scholars based in Japan, China and United States. Qi An's co-authors include Hajime Asama, Atsushi Yamashita, Hiroshi Yamakawa, Yusuke Tamura, Yoky Matsuoka, Cara E. Stepp, Wen Wen, Ichiro Miyai, Noriaki Hattori and Shingo Shimoda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Qi An

63 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi An Japan 15 263 252 125 124 59 85 562
Lorenzo De Michieli Italy 16 593 2.3× 233 0.9× 255 2.0× 92 0.7× 112 1.9× 76 992
Atilla Kilicarslan United States 11 372 1.4× 409 1.6× 133 1.1× 25 0.2× 26 0.4× 24 661
F. Zanow Germany 12 375 1.4× 370 1.5× 146 1.2× 38 0.3× 43 0.7× 24 767
Hikaru Yokoyama Japan 15 314 1.2× 282 1.1× 48 0.4× 153 1.2× 61 1.0× 49 547
Ashley Johnson United States 6 216 0.8× 169 0.7× 47 0.4× 60 0.5× 33 0.6× 13 386
Stefano Tortora Italy 11 178 0.7× 199 0.8× 92 0.7× 34 0.3× 10 0.2× 25 365
Tong‐Hun Hwang Germany 10 123 0.5× 82 0.3× 22 0.2× 52 0.4× 16 0.3× 26 302
Carlo Maremmani Italy 14 237 0.9× 75 0.3× 42 0.3× 125 1.0× 118 2.0× 28 844
R. Chris Williamson United States 6 304 1.2× 272 1.1× 24 0.2× 102 0.8× 16 0.3× 12 971
James J. Abbas United States 19 832 3.2× 411 1.6× 190 1.5× 137 1.1× 108 1.8× 75 1.2k

Countries citing papers authored by Qi An

Since Specialization
Citations

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

Fields of papers citing papers by Qi An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi An

This figure shows the co-authorship network connecting the top 25 collaborators of Qi An. A scholar is included among the top collaborators of Qi An 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 Qi An. Qi An 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.
Shimizu, Susumu, Seiji Kasahara, Hiroyuki Ito, et al.. (2025). Change Detection in Image Pairs for Plant Inspection Using Mobile Robot. International Journal of Automation Technology. 19(3). 178–191.
2.
Wang, Cunyu, Fengbo Sun, Qi An, et al.. (2025). Effect of chemical ordering on the strength-ductility matching of lightweight refractory high-entropy alloys: leaping from local chemical order, B2 ordering, to precipitation strengthening. Materials Science and Engineering A. 941. 148574–148574. 5 indexed citations
3.
Li, Xuesi, et al.. (2025). Neuro-Modulation Analysis Based on Muscle Synergy Graph Neural Network in Human Locomotion. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1381–1391.
4.
Kitajima, Toshihiro, et al.. (2025). Efficient Distortion Mitigation in Equirectangular Images for Two-View Pose Estimation. International Journal of Automation Technology. 19(3). 226–236.
5.
Chen, Tong, et al.. (2025). Diversity-Aware Crowd Model for Robust Robot Navigation in Human Populated Environment. IEEE Robotics and Automation Letters. 10(6). 6376–6383.
6.
An, Qi, et al.. (2025). Detection of Texting While Walking in Occluded Environment Using Variational Autoencoder for Safe Mobile Robot Navigation. IEEE Robotics and Automation Letters. 10(7). 7675–7682.
7.
An, Qi, et al.. (2025). Spray-fabrication of dual crosslinking porous hydrogel for evaporative cooling. Matter. 8(3). 101994–101994.
8.
An, Qi, Cunyu Wang, Fengbo Sun, et al.. (2025). Insights into multi-effects of single element Mo in Ti-rich Ti40Nb30V25−Zr5Mo refractory complex concentrated alloys: Strength-ductility synergy and high-temperature strengthening. Journal of Material Science and Technology. 255. 118–133. 1 indexed citations
9.
Nakamura, Yuichi, et al.. (2024). Improving repeatability of surface electromyography measurement of sit-to-stand motions by using muscle synergy. Biomedical Signal Processing and Control. 93. 106185–106185. 2 indexed citations
10.
Kitajima, Toshihiro, et al.. (2024). Switch-SLAM: Switching-Based LiDAR-Inertial-Visual SLAM for Degenerate Environments. IEEE Robotics and Automation Letters. 9(8). 7270–7277. 16 indexed citations
11.
Kitajima, Toshihiro, et al.. (2024). Self-TIO: Thermal-Inertial Odometry via Self-Supervised 16-Bit Feature Extractor and Tracker. IEEE Robotics and Automation Letters. 10(2). 1003–1010.
12.
Asama, Hajime, et al.. (2024). Defect detection with ego-noise reduction based on multimodal information in UAV hammering inspection. Advanced Robotics. 38(17). 1218–1230.
13.
14.
Kurazume, Ryo, et al.. (2022). Development of AR training systems for Humanitude dementia care. Advanced Robotics. 36(7). 344–358. 5 indexed citations
15.
An, Qi, Ruoxi Wang, Kazunori Yoshida, et al.. (2021). Analysis of muscle synergy and kinematics in sit-to-stand motion of hemiplegic patients in subacute period. Advanced Robotics. 35(13-14). 867–877. 5 indexed citations
16.
Yoshida, Kazunori, Qi An, Hiroyuki Hamada, et al.. (2021). Artificial neural network that modifies muscle activity in sit-to-stand motion using sensory input. Advanced Robotics. 35(13-14). 858–866. 1 indexed citations
17.
An, Qi, Hiroshi Yamakawa, Kazunori Yoshida, et al.. (2021). Classification of Motor Impairments of Post-Stroke Patients Based on Force Applied to a Handrail. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2399–2406. 6 indexed citations
18.
An, Qi, Kazunori Yoshida, Hiroshi Yamakawa, et al.. (2020). Temporal Muscle Synergy Features Estimate Effects of Short-Term Rehabilitation in Sit-to-Stand of Post-Stroke Patients. IEEE Robotics and Automation Letters. 5(2). 1796–1802. 9 indexed citations
19.
An, Qi, Hiroshi Yamakawa, Yusuke Tamura, et al.. (2019). Temporal Features of Muscle Synergies in Sit-to-Stand Motion Reflect the Motor Impairment of Post-Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2118–2127. 47 indexed citations
20.
An, Qi. (2011). On the Theoretical Framework of Autonomous Learning. 2(11). 575–578. 3 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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