Yujiang Xiang

1.5k total citations
76 papers, 952 citations indexed

About

Yujiang Xiang is a scholar working on Biomedical Engineering, Control and Systems Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, Yujiang Xiang has authored 76 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Biomedical Engineering, 23 papers in Control and Systems Engineering and 12 papers in Orthopedics and Sports Medicine. Recurrent topics in Yujiang Xiang's work include Muscle activation and electromyography studies (28 papers), Prosthetics and Rehabilitation Robotics (28 papers) and Robotic Locomotion and Control (21 papers). Yujiang Xiang is often cited by papers focused on Muscle activation and electromyography studies (28 papers), Prosthetics and Rehabilitation Robotics (28 papers) and Robotic Locomotion and Control (21 papers). Yujiang Xiang collaborates with scholars based in United States, China and South Korea. Yujiang Xiang's co-authors include Jasbir S. Arora, Karim Abdel‐Malek, James Yang, Salam Rahmatalla, Rajankumar Bhatt, Joo H. Kim, Timothy Marler, Hongbing Fang, Qian Wang and Zijie Fan and has published in prestigious journals such as Journal of Biomechanics, IEEE Transactions on Biomedical Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Yujiang Xiang

67 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yujiang Xiang United States 15 635 176 163 144 126 76 952
Salam Rahmatalla United States 19 364 0.6× 249 1.4× 136 0.8× 560 3.9× 263 2.1× 90 1.3k
Raziel Riemer Israel 18 646 1.0× 44 0.3× 322 2.0× 34 0.2× 120 1.0× 54 1.1k
Stefano Pastorelli Italy 17 278 0.4× 321 1.8× 235 1.4× 31 0.2× 103 0.8× 106 1.0k
Søren Tørholm Christensen Denmark 10 624 1.0× 56 0.3× 34 0.2× 59 0.4× 171 1.4× 39 998
Weijun Tao China 13 668 1.1× 78 0.4× 143 0.9× 139 1.0× 48 0.4× 39 1.2k
Mohammad Fard Australia 21 420 0.7× 94 0.5× 578 3.5× 312 2.2× 176 1.4× 94 1.3k
Ko Ayusawa Japan 16 543 0.9× 399 2.3× 87 0.5× 27 0.2× 40 0.3× 74 778
Georges Dumont France 16 196 0.3× 103 0.6× 81 0.5× 20 0.1× 45 0.4× 70 606
Francisco Javier Alonso Sánchez Spain 15 571 0.9× 165 0.9× 538 3.3× 94 0.7× 50 0.4× 47 1.2k
Takehito Kikuchi Japan 19 537 0.8× 130 0.7× 228 1.4× 491 3.4× 34 0.3× 136 1.0k

Countries citing papers authored by Yujiang Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yujiang Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujiang Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yujiang Xiang. A scholar is included among the top collaborators of Yujiang Xiang 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 Yujiang Xiang. Yujiang Xiang 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.
Xiao, Feng, et al.. (2025). Stiffness Separation Method for Damage Identification of Steel Truss Bridge: Exploring Diverse Separation Interfaces. Structural Control and Health Monitoring. 2025(1).
2.
Yang, James, et al.. (2025). A four-compartment controller model of muscle fatigue for static and dynamic tasks. Frontiers in Physiology. 16. 1518847–1518847.
3.
Xiao, Feng, et al.. (2025). Sensitivity analysis and sensor placement for damage identification of steel truss bridge. Structures. 73. 108310–108310. 3 indexed citations
4.
Xiang, Yujiang, et al.. (2024). Artificial neural network-based control of powered knee exoskeletons for lifting tasks: design and experimental validation. Robotica. 42(9). 2949–2968. 2 indexed citations
5.
6.
Bai, He, et al.. (2023). Human–Robot Collaborative Lifting Motion Prediction and Experimental Validation. Journal of Intelligent & Robotic Systems. 109(4).
7.
Xiang, Yujiang, et al.. (2023). Subject specific optimal control of powered knee exoskeleton to assist human lifting tasks under controlled environment. Robotica. 41(9). 2809–2828. 10 indexed citations
8.
Xiang, Yujiang, et al.. (2022). Sensitivity analysis of sex- and functional muscle group-specific parameters for a three-compartment-controller model of muscle fatigue. Journal of Biomechanics. 141. 111224–111224. 1 indexed citations
9.
Lee, Seunghun, Yujiang Xiang, Ting Xia, & James Yang. (2022). Assessments and Evaluation Methods for Upper Limb Exoskeleton - a Literature Survey. 2 indexed citations
10.
Xiang, Yujiang, et al.. (2021). Functional muscle group- and sex-specific parameters for a three-compartment controller muscle fatigue model applied to isometric contractions. Journal of Biomechanics. 127. 110695–110695. 3 indexed citations
11.
Xiang, Yujiang, et al.. (2021). Single Task Optimization-Based Planar Box Delivery Motion Simulation and Experimental Validation. Journal of Mechanisms and Robotics. 13(2). 2 indexed citations
12.
Xiang, Yujiang, et al.. (2021). Hybrid Predictive Model for Lifting by Integrating Skeletal Motion Prediction With an OpenSim Musculoskeletal Model. IEEE Transactions on Biomedical Engineering. 69(3). 1111–1122. 16 indexed citations
13.
Xiang, Yujiang, et al.. (2021). Three-dimensional asymmetric maximum weight lifting prediction considering dynamic joint strength. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 235(4). 437–446. 11 indexed citations
14.
Xiang, Yujiang, et al.. (2020). Two-dimensional team lifting prediction with floating-base box dynamics and grasping force coupling. Multibody System Dynamics. 50(2). 211–231. 13 indexed citations
15.
Xiang, Yujiang, et al.. (2019). Computational Methods for Skeletal Muscle Strain Injury: A Review. Critical Reviews in Biomedical Engineering. 47(4). 277–294. 4 indexed citations
16.
Kim, Joo H., et al.. (2018). Rate of Angular Momentum in ZMP Using Efficient DH-Based Recursive Lagrangian. International Journal of Humanoid Robotics. 15(6). 1850028–1850028. 2 indexed citations
17.
Yang, James, et al.. (2018). Approaches to Study Spine Biomechanics: A Literature Review. Advances in intelligent systems and computing. 453–462. 3 indexed citations
18.
Xiang, Yujiang, Jasbir S. Arora, & Karim Abdel‐Malek. (2010). Optimization-based prediction of asymmetric human gait. Journal of Biomechanics. 44(4). 683–693. 56 indexed citations
19.
Yang, James, et al.. (2009). Determining the three-dimensional relation between the skeletal elements of the human shoulder complex. Journal of Biomechanics. 42(11). 1762–1767. 13 indexed citations
20.
Xiang, Yujiang, Salam Rahmatalla, Joo H. Kim, et al.. (2008). Optimization-based Dynamic Human Lifting Prediction. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 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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