Che-Chang Yang

1.3k total citations · 1 hit paper
11 papers, 929 citations indexed

About

Che-Chang Yang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Che-Chang Yang has authored 11 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 4 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Che-Chang Yang's work include Context-Aware Activity Recognition Systems (5 papers), Balance, Gait, and Falls Prevention (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Che-Chang Yang is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Balance, Gait, and Falls Prevention (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Che-Chang Yang collaborates with scholars based in Taiwan. Che-Chang Yang's co-authors include Yeh‐Liang Hsu, Jun-Ming Lu, Kao‐Shang Shih, Chih‐Ming Cheng, Lung Chan, Chun‐Chen Chen, Jing-Jia Liou, Yao‐Hua Chen and Chih-Tsun Huang and has published in prestigious journals such as Sensors, Telemedicine Journal and e-Health and Journal of Clinical Gerontology and Geriatrics.

In The Last Decade

Che-Chang Yang

10 papers receiving 892 citations

Hit Papers

A Review of Accelerometry-Based Wearable Motion Detectors... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Che-Chang Yang Taiwan 7 409 277 238 162 94 11 929
Wiebe de Vries Netherlands 18 461 1.1× 175 0.6× 204 0.9× 138 0.9× 80 0.9× 52 1.5k
François Loew Switzerland 7 449 1.1× 410 1.5× 420 1.8× 94 0.6× 66 0.7× 16 1.0k
K.M. Culhane Ireland 8 285 0.7× 214 0.8× 270 1.1× 150 0.9× 106 1.1× 10 719
Arnold Baca Austria 21 509 1.2× 117 0.4× 174 0.7× 77 0.5× 39 0.4× 125 1.4k
Luca Palmerini Italy 18 394 1.0× 263 0.9× 533 2.2× 88 0.5× 55 0.6× 40 1.0k
Mark V. Albert United States 17 277 0.7× 314 1.1× 175 0.7× 87 0.5× 48 0.5× 57 1.1k
Anisoara Paraschiv-Ionescu Switzerland 21 696 1.7× 501 1.8× 553 2.3× 244 1.5× 69 0.7× 53 1.7k
Heribert Baldus Germany 16 318 0.8× 104 0.4× 268 1.1× 174 1.1× 36 0.4× 28 868
Kieran Moran Ireland 33 1.1k 2.6× 186 0.7× 174 0.7× 107 0.7× 205 2.2× 160 2.9k
Cliodhna Ní Scanaill Ireland 13 238 0.6× 279 1.0× 259 1.1× 31 0.2× 50 0.5× 16 746

Countries citing papers authored by Che-Chang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Che-Chang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Chang Yang. 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 Che-Chang Yang. The network helps show where Che-Chang Yang may publish in the future.

Co-authorship network of co-authors of Che-Chang Yang

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

All Works

11 of 11 papers shown
1.
Yang, Che-Chang, et al.. (2022). Efficient Segment-wise Pruning for DCNN Inference Accelerators. 1–4. 1 indexed citations
2.
Yang, Che-Chang & Yeh‐Liang Hsu. (2012). Remote monitoring and assessment of daily activities in the home environment. Journal of Clinical Gerontology and Geriatrics. 3(3). 97–104. 27 indexed citations
3.
Yang, Che-Chang, Yeh‐Liang Hsu, Kao‐Shang Shih, & Jun-Ming Lu. (2011). Real-Time Gait Cycle Parameter Recognition Using a Wearable Accelerometry System. Sensors. 11(8). 7314–7326. 94 indexed citations
4.
Yang, Che-Chang, et al.. (2011). Real-time gait cycle parameters recognition using a wearable motion detector. 17. 498–502. 8 indexed citations
5.
Yang, Che-Chang & Yeh‐Liang Hsu. (2010). A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring. Sensors. 10(8). 7772–7788. 743 indexed citations breakdown →
7.
Yang, Che-Chang & Yeh‐Liang Hsu. (2009). Development of a Wearable Motion Detector for Telemonitoring and Real-Time Identification of Physical Activity. Telemedicine Journal and e-Health. 15(1). 62–72. 23 indexed citations
8.
Yang, Che-Chang & Yeh‐Liang Hsu. (2009). DEVELOPMENT OF A PROTOTYPING SYSTEM FOR CUSTOM-CONTOURED FOAM CUSHION USING THE PRESSURE MAPPING METHOD. Biomedical Engineering Applications Basis and Communications. 21(1). 9–16. 4 indexed citations
9.
Hsu, Yeh‐Liang, et al.. (2007). Development of A Decentralized Telehomecare Monitoring System. Telemedicine Journal and e-Health. 13(1). 69–78. 15 indexed citations
10.
Yang, Che-Chang & Yeh‐Liang Hsu. (2007). Algorithm Design for Real-time Physical Activity Identification with Accelerometry Measurement. 2996–3000. 11 indexed citations
11.
Yang, Che-Chang & Yeh‐Liang Hsu. (2007). Developing a wearable system for real-time physical activity monitoring in a home environment. 45–50. 2 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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