Xiaoqun Yu

518 total citations
17 papers, 321 citations indexed

About

Xiaoqun Yu is a scholar working on Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering. According to data from OpenAlex, Xiaoqun Yu has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Physical Therapy, Sports Therapy and Rehabilitation and 11 papers in Biomedical Engineering. Recurrent topics in Xiaoqun Yu's work include Context-Aware Activity Recognition Systems (14 papers), Balance, Gait, and Falls Prevention (11 papers) and Gait Recognition and Analysis (8 papers). Xiaoqun Yu is often cited by papers focused on Context-Aware Activity Recognition Systems (14 papers), Balance, Gait, and Falls Prevention (11 papers) and Gait Recognition and Analysis (8 papers). Xiaoqun Yu collaborates with scholars based in South Korea, China and Bangladesh. Xiaoqun Yu's co-authors include Shuping Xiong, Hai Qiu, Jaehyuk Jang, Rana Zia Ur Rehman, Jaewon Kim, Doil Kim, Youngho Kim, Yongsheng Ma, Tonglou Guo and Guoli Wang and has published in prestigious journals such as Scientific Reports, Sensors and Automation in Construction.

In The Last Decade

Xiaoqun Yu

15 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoqun Yu South Korea	9	186	161	124	49	28	17	321
Tal Shany Australia	7	167 0.9×	152 0.9×	136 1.1×	20 0.4×	12 0.4×	8	374
Joana Silva Portugal	10	193 1.0×	140 0.9×	100 0.8×	48 1.0×	23 0.8×	30	339
Kai-Chun Liu Taiwan	13	320 1.7×	308 1.9×	104 0.8×	64 1.3×	36 1.3×	48	624
Phuc Huu Truong South Korea	9	127 0.7×	131 0.8×	39 0.3×	35 0.7×	10 0.4×	18	331
Chia-Yeh Hsieh Taiwan	12	268 1.4×	224 1.4×	84 0.7×	43 0.9×	30 1.1×	32	435
Zhanyong Mei China	10	68 0.4×	176 1.1×	54 0.4×	20 0.4×	14 0.5×	19	260
T Togawa Japan	8	136 0.7×	186 1.2×	62 0.5×	37 0.8×	15 0.5×	15	347
Daniel Laidig Germany	11	40 0.2×	148 0.9×	98 0.8×	38 0.8×	60 2.1×	21	380
Sebastijan Šprager Slovenia	11	182 1.0×	463 2.9×	77 0.6×	72 1.5×	16 0.6×	25	587
Fabio Bagalà Italy	9	360 1.9×	304 1.9×	229 1.8×	45 0.9×	9 0.3×	12	504

Countries citing papers authored by Xiaoqun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoqun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqun Yu

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

All Works

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17 of 17 papers shown

Yu, Xiaoqun, et al.. (2025). Revisiting sensor-based intelligent fall risk assessment for older people: A systematic review. Engineering Applications of Artificial Intelligence. 144. 110176–110176.

Yu, Xiaoqun, et al.. (2025). The Effects of Task Factors on the Multi-Directional Tapping Task. International Journal of Human-Computer Interaction. 1–24.

Yu, Xiaoqun, et al.. (2025). A Real-time skeleton-based fall detection algorithm based on temporal convolutional networks and transformer encoder. Pervasive and Mobile Computing. 107. 102016–102016. 4 indexed citations

Kim, Doil, Xiaoqun Yu, & Shuping Xiong. (2025). Robust skeleton-based AI for automatic multi-person fall detection on construction sites with occlusions. Automation in Construction. 175. 106216–106216. 2 indexed citations

Yu, Xiaoqun, et al.. (2024). A novel semi-supervised model for pre-impact fall detection with limited fall data. Engineering Applications of Artificial Intelligence. 132. 108469–108469. 6 indexed citations

Kim, Taekyoung, Xiaoqun Yu, & Shuping Xiong. (2023). A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect. Ergonomics. 67(1). 50–68. 5 indexed citations

Yu, Xiaoqun, et al.. (2023). A practical wearable fall detection system based on tiny convolutional neural networks. Biomedical Signal Processing and Control. 86. 105325–105325. 28 indexed citations

Yu, Xiaoqun, et al.. (2023). TinyFallNet: A Lightweight Pre-Impact Fall Detection Model. Sensors. 23(20). 8459–8459. 8 indexed citations

Yu, Xiaoqun, et al.. (2023). Trunk range of motion: A wearable sensor-based test protocol and indicator of fall risk in older people. Applied Ergonomics. 108. 103963–103963. 1 indexed citations

10.

Yu, Xiaoqun, et al.. (2022). Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection. IEEE Journal of Biomedical and Health Informatics. 27(5). 2197–2207. 17 indexed citations

11.

Yu, Xiaoqun, et al.. (2022). A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults. Measurement. 201. 111785–111785. 9 indexed citations

12.

Guo, Tonglou, Yongsheng Ma, Guoli Wang, et al.. (2022). Fracture development and inter-well interference for shale gas production from the Wufeng-Longmaxi Formation in a gentle syncline area of Weirong shale gas field, southern Sichuan, China. Journal of Petroleum Science and Engineering. 212. 110207–110207. 18 indexed citations

13.

Yu, Xiaoqun, et al.. (2022). A Comprehensive Comparison of Accuracy and Practicality of Different Types of Algorithms for Pre-Impact Fall Detection Using Both Young and Old Adults. SSRN Electronic Journal. 2 indexed citations

14.

Yu, Xiaoqun, Jaehyuk Jang, & Shuping Xiong. (2021). A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors. Frontiers in Aging Neuroscience. 13. 692865–692865. 65 indexed citations

15.

Yu, Xiaoqun, Hai Qiu, & Shuping Xiong. (2020). A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors. Frontiers in Bioengineering and Biotechnology. 8. 63–63. 56 indexed citations

16.

Yu, Xiaoqun & Shuping Xiong. (2019). A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People. Sensors. 19(13). 2882–2882. 38 indexed citations

17.

Qiu, Hai, Rana Zia Ur Rehman, Xiaoqun Yu, & Shuping Xiong. (2018). Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People. Scientific Reports. 8(1). 16349–16349. 62 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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