Jiunn‐Horng Kang

4.6k total citations
146 papers, 3.4k citations indexed

About

Jiunn‐Horng Kang is a scholar working on Surgery, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Jiunn‐Horng Kang has authored 146 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 28 papers in Physiology and 25 papers in Psychiatry and Mental health. Recurrent topics in Jiunn‐Horng Kang's work include Obstructive Sleep Apnea Research (20 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (11 papers) and Neuroscience of respiration and sleep (11 papers). Jiunn‐Horng Kang is often cited by papers focused on Obstructive Sleep Apnea Research (20 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (11 papers) and Neuroscience of respiration and sleep (11 papers). Jiunn‐Horng Kang collaborates with scholars based in Taiwan, United Kingdom and United States. Jiunn‐Horng Kang's co-authors include Herng‐Ching Lin, Yi‐Hua Chen, Joseph J. Keller, Shih-Ching Chen, Shiu‐Dong Chung, Jau‐Jiuan Sheu, Jau‐Der Ho, Herng‐Ching Lin, Herng‐Ching Lin and Hsin-Chuan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Jiunn‐Horng Kang

130 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiunn‐Horng Kang Taiwan 33 572 546 409 386 355 146 3.4k
Hyo Geun Choi South Korea 33 932 1.6× 456 0.8× 864 2.1× 305 0.8× 404 1.1× 381 5.3k
Stephanie Fook‐Chong Singapore 38 421 0.7× 482 0.9× 940 2.3× 280 0.7× 1.4k 3.9× 208 4.8k
Marco Valenti Italy 34 222 0.4× 408 0.7× 736 1.8× 255 0.7× 89 0.3× 206 4.0k
N Heussen Germany 41 345 0.6× 282 0.5× 762 1.9× 140 0.4× 132 0.4× 154 5.4k
Kenneth E. Guire United States 47 1.0k 1.8× 606 1.1× 1.3k 3.2× 1.2k 3.2× 88 0.2× 85 6.2k
Florian Zeman Germany 39 550 1.0× 1.1k 2.0× 2.3k 5.6× 147 0.4× 358 1.0× 373 7.2k
Keith George United Kingdom 57 1.1k 2.0× 341 0.6× 911 2.2× 98 0.3× 238 0.7× 301 10.2k
Jens Dreyhaupt Germany 35 350 0.6× 205 0.4× 709 1.7× 83 0.2× 442 1.2× 167 4.7k
Ceib Phillips United States 58 604 1.1× 135 0.2× 1.4k 3.5× 466 1.2× 401 1.1× 270 10.8k
Amir Rafii United States 18 1.4k 2.5× 167 0.3× 1.3k 3.2× 206 0.5× 297 0.8× 24 5.0k

Countries citing papers authored by Jiunn‐Horng Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jiunn‐Horng Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiunn‐Horng Kang. 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 Jiunn‐Horng Kang. The network helps show where Jiunn‐Horng Kang may publish in the future.

Co-authorship network of co-authors of Jiunn‐Horng Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiunn‐Horng Kang. A scholar is included among the top collaborators of Jiunn‐Horng Kang 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 Jiunn‐Horng Kang. Jiunn‐Horng Kang 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.
2.
Hsu, Gee-Sern, et al.. (2025). Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model. Life. 15(3). 358–358.
3.
Kang, Jiunn‐Horng, Der‐Sheng Han, Tsan‐Hon Liou, et al.. (2025). Enhancing Societal Participation for Stroke Survivors With Cognitive Impairments: A Randomized Controlled Trial. Journal of the American Heart Association. 14(19). e042295–e042295.
4.
Lee, Kang‐Yun, Rong‐Nan Chien, Kuan-Yuan Chen, et al.. (2025). Investigating temporal PM2.5 exposure in relation to rapid lung-function decline among COPD patients: A retrospective study. Atmospheric Pollution Research. 17(3). 102822–102822.
5.
Liu, Wen‐Te, Arnab Majumdar, Jiunn‐Horng Kang, et al.. (2025). Deep representation learning with cross attention-based multi-feature fusion for sleep apnea detection using sleep respiratory sound. Biomedical Signal Processing and Control. 113. 109093–109093.
6.
Liu, Wen‐Te, Chih‐Wei Hsu, Hua Lin, et al.. (2025). Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments. Journal of Multidisciplinary Healthcare. Volume 18. 381–393.
7.
8.
Kang, Jiunn‐Horng, et al.. (2025). Wireless, self‑powered phototrophic algaerobot‑infused nanotherapeutic hydrogels for enhanced diabetic wound healing. Chemical Engineering Journal. 515. 163469–163469.
9.
10.
Tsai, Cheng-Yu, Arnab Majumdar, Yi‐Chun Kuan, et al.. (2024). Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity. Journal of Clinical Sleep Medicine. 20(8). 1267–1277. 6 indexed citations
11.
Tsai, Cheng-Yu, Ming Liu, Yi‐Chun Kuan, et al.. (2023). Associations between air pollution, intracellular-to-extracellular water distribution, and obstructive sleep apnea manifestations. Frontiers in Public Health. 11. 1175203–1175203. 4 indexed citations
12.
Hung, Truong Nguyen Khanh, et al.. (2022). An AI‐based Prediction Model for Drug‐drug Interactions in Osteoporosis and Paget's Diseases from SMILES. Molecular Informatics. 41(6). e2100264–e2100264. 66 indexed citations
13.
Chen, Hung‐Chou, Bor-Shing Lin, Chien‐Hung Lai, et al.. (2022). Oxygen Consumption (VO2) and Surface Electromyography (sEMG) during Moderate-Strength Training Exercises. International Journal of Environmental Research and Public Health. 19(4). 2233–2233. 2 indexed citations
14.
Chen, Shih-Ching, Jiunn‐Horng Kang, Chih‐Wei Peng, et al.. (2022). Adjustable Parameters and the Effectiveness of Adjunct Robot-Assisted Gait Training in Individuals with Chronic Stroke. International Journal of Environmental Research and Public Health. 19(13). 8186–8186. 6 indexed citations
15.
Tsai, Cheng-Yu, Wen‐Te Liu, Wenhua Hsu, et al.. (2022). Aberrant Driving Behavior Prediction for Urban Bus Drivers in Taiwan Using Heart Rate Variability and Various Machine Learning Approaches: A Pilot Study. Transportation Research Record Journal of the Transportation Research Board. 2677(3). 1304–1320. 2 indexed citations
16.
Kang, Jiunn‐Horng, Sudha Xirasagar, Herng‐Ching Lin, Pai‐Feng Kao, & Li‐Chin Sung. (2018). Risk of adverse outcomes in patients with rheumatoid arthritis hospitalized for stroke—a cross-sectional study. Clinical Rheumatology. 37(11). 2917–2926. 6 indexed citations
17.
Tsai, M.-C., et al.. (2014). Statin use and clinical outcomes among pneumonia patients. Clinical Microbiology and Infection. 20(9). 879–885. 11 indexed citations
18.
Chen, Yi‐Hua, Joseph J. Keller, Jiunn‐Horng Kang, & Herng‐Ching Lin. (2012). Association between Traumatic Brain Injury and the Subsequent Risk of Brain Cancer. Journal of Neurotrauma. 29(7). 1328–1333. 34 indexed citations
19.
Chen, Yi‐Hua, Jiunn‐Horng Kang, & Herng‐Ching Lin. (2011). Patients With Traumatic Brain Injury. Stroke. 42(10). 2733–2739. 102 indexed citations
20.
Kang, Jiunn‐Horng, Jau‐Der Ho, Yi‐Hua Chen, & Herng‐Ching Lin. (2009). Increased Risk of Stroke After a Herpes Zoster Attack. Stroke. 40(11). 3443–3448. 171 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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