Polun Chang

1.0k total citations
107 papers, 696 citations indexed

About

Polun Chang is a scholar working on General Health Professions, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Polun Chang has authored 107 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in General Health Professions, 20 papers in Health Information Management and 19 papers in Artificial Intelligence. Recurrent topics in Polun Chang's work include Mobile Health and mHealth Applications (24 papers), Electronic Health Records Systems (19 papers) and Nursing Diagnosis and Documentation (10 papers). Polun Chang is often cited by papers focused on Mobile Health and mHealth Applications (24 papers), Electronic Health Records Systems (19 papers) and Nursing Diagnosis and Documentation (10 papers). Polun Chang collaborates with scholars based in Taiwan, United States and China. Polun Chang's co-authors include Li‐Yin Chien, I‐Ching Hou, Yiing Mei Liou, Wen‐Shan Jian, Yu‐Chuan Li, Che-Ming Yang, Herng‐Ching Lin, Yu‐Chi Chen, Marion J. Ball and Ursula Hübner and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Journal of the American Geriatrics Society and Expert Systems with Applications.

In The Last Decade

Polun Chang

91 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Polun Chang Taiwan 13 248 162 109 65 58 107 696
Yang Gong United States 17 257 1.0× 340 2.1× 139 1.3× 85 1.3× 27 0.5× 132 979
Marjan Askari Netherlands 16 317 1.3× 85 0.5× 114 1.0× 39 0.6× 20 0.3× 55 868
David Liebovitz United States 22 531 2.1× 342 2.1× 226 2.1× 171 2.6× 62 1.1× 63 1.5k
Tomislav Bokun Croatia 10 402 1.6× 503 3.1× 211 1.9× 28 0.4× 25 0.4× 25 1.2k
Tim Benson United Kingdom 19 312 1.3× 247 1.5× 168 1.5× 168 2.6× 63 1.1× 50 1.1k
Jae‐Ho Lee South Korea 22 375 1.5× 230 1.4× 178 1.6× 145 2.2× 137 2.4× 135 1.7k
Jan Talmon Netherlands 22 352 1.4× 697 4.3× 281 2.6× 165 2.5× 108 1.9× 96 1.7k
Kevin J. Leonard Canada 19 659 2.7× 367 2.3× 234 2.1× 96 1.5× 54 0.9× 58 1.5k
Raman Khanna United States 17 192 0.8× 93 0.6× 245 2.2× 27 0.4× 26 0.4× 47 843
Daniel Luna Argentina 16 331 1.3× 278 1.7× 164 1.5× 100 1.5× 54 0.9× 147 958

Countries citing papers authored by Polun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Polun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Polun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Polun Chang. A scholar is included among the top collaborators of Polun 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 Polun Chang. Polun 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
1.
Zou, Hongbin, et al.. (2025). Digital twins in cardiovascular disease: a scoping review. International Journal of Medical Informatics. 206. 106138–106138.
2.
Lee, S. Y., et al.. (2025). Dual-Model YOLOv7-Based Image Recognition System to Simplify Data Entry for the Elderly in Mobile Health. Studies in health technology and informatics. 329. 1860–1861.
4.
Liu, Yisi, Jingyi Chen, Karen Lamb, et al.. (2019). Smartphone-Based Self-Empowerment App on Secondary Prevention of Patients with Cardiovascular Disease. Studies in health technology and informatics. 264. 1712–1713. 4 indexed citations
5.
Chen, Yu‐Chi, et al.. (2018). Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps. JMIR mhealth and uhealth. 6(4). e10173–e10173. 24 indexed citations
6.
Chang, Polun, et al.. (2016). Modeling a Mobile Health Management Business Model for Chronic Kidney Disease. Studies in health technology and informatics. 225. 1047–8. 2 indexed citations
7.
Yang, Hsuan‐Chia, Chieh-Chen Wu, Wen‐Chen Tsai, et al.. (2016). A personalized medication management platform (PMMP) to improve medication adherence: A randomized control trial. Computer Methods and Programs in Biomedicine. 140. 275–281. 16 indexed citations
8.
Ji, Meihua, et al.. (2015). Development and Usability Evaluation of the Mobile Delirium Assessment App Based on Confusion Assessment Method for Intensive Care Unit (CAM-ICU). Studies in health technology and informatics. 216. 899–899. 7 indexed citations
9.
Chang, Polun, et al.. (2014). Use of a Mobile Device by Nursing Home Residents for Long-term Care Comprehensive Geriatric Self-assessment. CIN Computers Informatics Nursing. 33(1). 28–36. 14 indexed citations
10.
Wang, Yu-Jen, et al.. (2014). Mockup Design of Personal Health Diary App for Patients with Chronic Kidney Disease. Studies in health technology and informatics. 201. 124–32. 10 indexed citations
11.
Chang, Polun, et al.. (2013). A preliminary study on the use of clinical care classification in nursing documentation data sets. Computer Methods and Programs in Biomedicine. 112(3). 713–719. 2 indexed citations
12.
Chang, Polun, et al.. (2012). FROM PASSION TO EXCELLENCE. CIN Computers Informatics Nursing. 30(5). 234–236. 2 indexed citations
13.
Hou, I‐Ching, et al.. (2012). A modified Delphi translation strategy and challenges of International Classification for Nursing Practice (ICNP®). International Journal of Medical Informatics. 82(5). 418–426. 7 indexed citations
14.
Chien, Li‐Yin, Yiing Mei Liou, & Polun Chang. (2011). Low defaecation frequency in Taiwanese adolescents: Association with dietary intake, physical activity and sedentary behaviour. Journal of Paediatrics and Child Health. 47(6). 381–386. 48 indexed citations
15.
Chang, Polun, et al.. (2010). Design and Development of Interface Design Principles for Complex Documentation Using PDAs. CIN Computers Informatics Nursing. 29(3). 174–183. 5 indexed citations
16.
Chang, Polun, et al.. (2009). A CMAC Learning Approach Based on Grey Relational Analysis.. International Conference on Artificial Intelligence. 571–574. 1 indexed citations
17.
Chang, Polun, et al.. (2008). The use of a CPOE log for the analysis of physicians’ behavior when responding to drug-duplication reminders. International Journal of Medical Informatics. 77(8). 499–506. 19 indexed citations
18.
Liou, Yiing Mei, et al.. (2007). [Experiences of a nation-wide integrated program for healthy body weight among students].. PubMed. 54(5). 30–6. 7 indexed citations
19.
Yang, Che-Ming, Herng‐Ching Lin, Polun Chang, & Wen‐Shan Jian. (2006). Taiwan's perspective on electronic medical records’ security and privacy protection: Lessons learned from HIPAA. Computer Methods and Programs in Biomedicine. 82(3). 277–282. 27 indexed citations
20.
Lawrence, William, Wei Liang, Jeanne S. Mandelblatt, et al.. (1998). Serendipity in Diagnostic Imaging: Magnetic Resonance Imaging of the Breast. JNCI Journal of the National Cancer Institute. 90(23). 1792–1800. 19 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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