Kang-Ming Chang

1.3k total citations
59 papers, 928 citations indexed

About

Kang-Ming Chang is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Kang-Ming Chang has authored 59 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 20 papers in Cardiology and Cardiovascular Medicine and 8 papers in Cognitive Neuroscience. Recurrent topics in Kang-Ming Chang's work include Non-Invasive Vital Sign Monitoring (15 papers), ECG Monitoring and Analysis (11 papers) and Heart Rate Variability and Autonomic Control (7 papers). Kang-Ming Chang is often cited by papers focused on Non-Invasive Vital Sign Monitoring (15 papers), ECG Monitoring and Analysis (11 papers) and Heart Rate Variability and Autonomic Control (7 papers). Kang-Ming Chang collaborates with scholars based in Taiwan, United States and Japan. Kang-Ming Chang's co-authors include Shing-Hong Liu, Da‐Chuan Cheng, Congo Tak‐Shing Ching, Li‐Wei Chou, Tai‐Ping Sun, Junhong Chen, Jia-Jung Wang, Ting-Wei Chang, Jingjing Yang and Peiyuan F. Hsieh and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and IEEE Access.

In The Last Decade

Kang-Ming Chang

54 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang-Ming Chang Taiwan 14 319 311 147 113 85 59 928
Musa Hakan Asyalı Türkiye 19 133 0.4× 144 0.5× 232 1.6× 59 0.5× 46 0.5× 38 1.3k
Shing-Hong Liu Taiwan 21 615 1.9× 769 2.5× 157 1.1× 55 0.5× 81 1.0× 98 1.4k
Saurabh Pal India 17 713 2.2× 596 1.9× 364 2.5× 67 0.6× 171 2.0× 94 1.2k
Hilmi R. Dajani Canada 23 978 3.1× 815 2.6× 246 1.7× 29 0.3× 82 1.0× 96 1.5k
Behnaz Ghoraani United States 16 288 0.9× 159 0.5× 177 1.2× 48 0.4× 32 0.4× 84 1.1k
Joachim Taelman Belgium 12 334 1.0× 246 0.8× 302 2.1× 64 0.6× 36 0.4× 23 812
Xosé A. Vila Spain 18 604 1.9× 376 1.2× 256 1.7× 31 0.3× 73 0.9× 61 1.0k
Valentin Goverdovsky United Kingdom 15 284 0.9× 327 1.1× 514 3.5× 24 0.2× 41 0.5× 24 968
Danilo Pani Italy 20 285 0.9× 672 2.2× 270 1.8× 17 0.2× 52 0.6× 109 1.5k
Soojin Lee Canada 13 91 0.3× 241 0.8× 450 3.1× 60 0.5× 30 0.4× 42 1.6k

Countries citing papers authored by Kang-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kang-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang-Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kang-Ming Chang. A scholar is included among the top collaborators of Kang-Ming Chang 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 Kang-Ming Chang. Kang-Ming Chang 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
2.
Chang, Kang-Ming, et al.. (2025). Cultural Influences on Avatar Creation in Social Metaverses: Comparing Self-Presentation Among Individualistic and Collectivistic Users. International Journal of Human-Computer Interaction. 42(6). 4247–4267.
3.
Liu, Shing-Hong, Wenxi Chen, Kang-Ming Chang, & Kuo‐Li Pan. (2024). Using Mechanomyograms for Estimating Median Frequency and Root Mean Square of Electromyograms With Hybrid Deep Neural Network and CatBoost Model. IEEE Access. 12. 190629–190639.
5.
Chou, Li‐Wei, et al.. (2021). Analysis of Center of Pressure Signals by Using Decision Tree and Empirical Mode Decomposition to Predict Falls among Older Adults. Journal of Healthcare Engineering. 2021. 1–10. 9 indexed citations
6.
Wang, Chun‐Hsiang, et al.. (2021). Shifted Firefighter Health Investigation by Personal Health Insurance Record in Taiwan. Risk Management and Healthcare Policy. Volume 14. 665–673. 1 indexed citations
7.
Ching, Congo Tak‐Shing, et al.. (2017). A Mechanical Sensor Designed for Dynamic Joint Angle Measurement. Journal of Healthcare Engineering. 2017. 1–12. 1 indexed citations
8.
Wu, Ming‐Feng, Jeng‐Yuan Hsu, Wei‐Chang Huang, et al.. (2014). Should sleep laboratories have their own predictive formulas for continuous positive airway pressure for patients with obstructive sleep apnea syndrome?. Journal of the Chinese Medical Association. 77(6). 283–289. 10 indexed citations
9.
Chang, Kang-Ming, Shing-Hong Liu, Jia-Jung Wang, & Da‐Chuan Cheng. (2013). Exercise muscle fatigue detection system implementation via wireless surface electromyography and empirical mode decomposition. PubMed. 2013. 1001–1004. 2 indexed citations
10.
Ching, Congo Tak‐Shing, et al.. (2013). Characterization of the Muscle Electrical Properties in Low Back Pain Patients by Electrical Impedance Myography. PLoS ONE. 8(4). e61639–e61639. 22 indexed citations
11.
Chang, Kang-Ming, et al.. (2012). Dexmedetomidine related bradycardia leading to cardiac arrest in a dog.. Pakistan Veterinary Journal. 32(4). 635–636. 5 indexed citations
12.
Chang, Kang-Ming, et al.. (2012). Body Massage Performance Investigation by Brain Activity Analysis. Evidence-based Complementary and Alternative Medicine. 2012. 1–10. 10 indexed citations
13.
Chang, Kang-Ming, et al.. (2011). Removal of random noises for electrocardiogram (ECG) signals using adaptive noise canceller without reference input. International Journal of the Physical Sciences. 6(24). 5699–5705. 2 indexed citations
14.
Chang, Kang-Ming, et al.. (2011). Aromatherapy Benefits Autonomic Nervous System Regulation for Elementary School Faculty in Taiwan. Evidence-based Complementary and Alternative Medicine. 2011(1). 946537–946537. 61 indexed citations
15.
Chang, Kang-Ming, et al.. (2011). Wireless Portable Electrocardiogram and a Tri-Axis Accelerometer Implementation and Application on Sleep Activity Monitoring. Telemedicine Journal and e-Health. 17(3). 177–184. 32 indexed citations
16.
Chang, Kang-Ming. (2010). Ensemble empirical mode decomposition for high frequency ECG noise reduction. Biomedizinische Technik/Biomedical Engineering. 55(4). 193–201. 63 indexed citations
17.
Chang, Kang-Ming, et al.. (2009). Pulse Rate Derivation and Its Correlation with Heart Rate. Journal of Medical and Biological Engineering. 29(3). 132–137. 12 indexed citations
18.
Liu, Shing-Hong, et al.. (2009). A novel compliance measurement in radial arteries using strain-gauge plethysmography. Physiological Measurement. 30(9). 947–956. 8 indexed citations
19.
Chang, Kang-Ming, et al.. (2008). Leg Crossing Posture on Pulse Transit Time and Heart Rate Variability. Journal of Medical and Biological Engineering. 28(2). 95–99. 1 indexed citations
20.
Chang, Kang-Ming, et al.. (1989). Effects of microwave radiation on YBaCuO films. Physica C Superconductivity. 162-164. 1591–1592. 5 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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