Phung‐Anh Nguyen

1.5k total citations
47 papers, 945 citations indexed

About

Phung‐Anh Nguyen is a scholar working on Health Information Management, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Phung‐Anh Nguyen has authored 47 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 8 papers in Oncology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Phung‐Anh Nguyen's work include Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Phung‐Anh Nguyen is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Phung‐Anh Nguyen collaborates with scholars based in Taiwan, United States and Australia. Phung‐Anh Nguyen's co-authors include Yu‐Chuan Li, Md. Mohaimenul Islam, Tahmina Nasrin Poly, Hsuan‐Chia Yang, Usman Iqbal, Shabbir Syed-Abdul, Yao‐Chin Wang, Chieh-Chen Wu, Suleman Atique and Wen‐Chun Yeh and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Phung‐Anh Nguyen

43 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phung‐Anh Nguyen Taiwan 16 174 163 147 106 100 47 945
Chieh-Chen Wu Taiwan 15 268 1.5× 179 1.1× 238 1.6× 95 0.9× 42 0.4× 33 1.1k
Emmanuel Chazard France 19 149 0.9× 172 1.1× 158 1.1× 49 0.5× 78 0.8× 127 1.1k
Vivienne J. Zhu United States 13 148 0.9× 90 0.6× 97 0.7× 44 0.4× 71 0.7× 24 784
Adler Perotte United States 15 137 0.8× 136 0.8× 297 2.0× 50 0.5× 124 1.2× 36 1.2k
Ilse Kant Netherlands 16 77 0.4× 98 0.6× 168 1.1× 152 1.4× 53 0.5× 32 819
Hendrikus J. A. van Os Netherlands 12 307 1.8× 72 0.4× 127 0.9× 120 1.1× 55 0.6× 31 806
Steven W J Nijman Netherlands 9 118 0.7× 107 0.7× 304 2.1× 157 1.5× 62 0.6× 10 890
Kevin Chagin United States 19 188 1.1× 65 0.4× 154 1.0× 62 0.6× 71 0.7× 36 1.2k
Shiying Hao United States 15 194 1.1× 119 0.7× 167 1.1× 71 0.7× 65 0.7× 43 774
Suzanne Tamang United States 14 146 0.8× 166 1.0× 492 3.3× 168 1.6× 126 1.3× 66 1.4k

Countries citing papers authored by Phung‐Anh Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Phung‐Anh Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phung‐Anh Nguyen. 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 Phung‐Anh Nguyen. The network helps show where Phung‐Anh Nguyen may publish in the future.

Co-authorship network of co-authors of Phung‐Anh Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Phung‐Anh Nguyen. A scholar is included among the top collaborators of Phung‐Anh Nguyen 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 Phung‐Anh Nguyen. Phung‐Anh Nguyen 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.
Park, Jimyung, Kyung Joo Lee, George Hripcsak, et al.. (2026). Comparison of Cardiovascular Events in Patients Receiving Concomitant Clopidogrel and Proton Pump Inhibitors Classified by CYP2C19 Inhibitory Potency. Arteriosclerosis Thrombosis and Vascular Biology.
2.
Nguyen, Thuan T., Quoc‐Viet Tran, Truong Nguyen Khanh Hung, et al.. (2025). Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images. Diagnostics. 15(14). 1808–1808.
3.
Nguyen, Phung‐Anh, Min‐Huei Hsu, Tzu‐Hao Chang, et al.. (2024). Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards. BMJ Health & Care Informatics. 31(1). e100890–e100890. 6 indexed citations
4.
Lin, Shwu‐Jiuan, et al.. (2024). Machine-Learning Based Risk Assessment for Cancer Therapy-Related Cardiac Adverse Events Among Breast Cancer Patients. Studies in health technology and informatics. 310. 1006–1010. 1 indexed citations
5.
Nguyen, Phung‐Anh, et al.. (2024). Personalised prediction of maintenance dialysis initiation in patients with chronic kidney disease stages 3–5: a multicentre study using the machine learning approach. BMJ Health & Care Informatics. 31(1). e100893–e100893. 3 indexed citations
6.
Nguyen, Phung‐Anh, Chien‐Cheng Huang, Chung‐Feng Liu, et al.. (2024). Acute myocardial infarction risk prediction in emergency chest pain patients: An external validation study. International Journal of Medical Informatics. 193. 105683–105683. 1 indexed citations
7.
Nguyen, Quynh Thi, Phung‐Anh Nguyen, Chin‐Sheng Hung, et al.. (2023). Machine learning approaches for predicting 5‐year breast cancer survival: A multicenter study. Cancer Science. 114(10). 4063–4072. 10 indexed citations
8.
Nguyen, Phung‐Anh, Shwu‐Jiuan Lin, Christine Y. Lu, et al.. (2023). A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning. Cancer Medicine. 12(19). 19987–19999. 11 indexed citations
9.
Nguyen, Nhi Thi Hong, Phung‐Anh Nguyen, Chih‐Wei Huang, et al.. (2023). Renin-Angiotensin-Aldosterone System Inhibitors and Development of Gynecologic Cancers: A 23 Million Individual Population-Based Study. International Journal of Molecular Sciences. 24(4). 3814–3814. 9 indexed citations
10.
Nguyen, Phung‐Anh, et al.. (2023). Machine learning-based prediction of medication refill adherence among first-time insulin users with type 2 diabetes. Diabetes Research and Clinical Practice. 207. 111033–111033. 3 indexed citations
11.
Wu, Shu‐Chen, et al.. (2022). Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation. Studies in health technology and informatics. 290. 1016–1017. 2 indexed citations
12.
Ningrum, Dina Nur Anggraini, Woon‐Man Kung, I‐Shiang Tzeng, et al.. (2021). A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record. Journal of Multidisciplinary Healthcare. Volume 14. 2477–2485. 12 indexed citations
13.
Yang, Hsuan‐Chia, Md. Mohaimenul Islam, Phung‐Anh Nguyen, et al.. (2021). Development of a Web-Based System for Exploring Cancer Risk With Long-term Use of Drugs: Logistic Regression Approach. JMIR Public Health and Surveillance. 7(2). e21401–e21401. 14 indexed citations
14.
Sadeghi, Mojtaba, Phung‐Anh Nguyen, Kuolin Hsu, & Soroosh Sorooshian. (2020). Application of Deep Neural Networks and Geographical Information for Improving the Near Real-time Precipitation Estimation Products. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
15.
Poly, Tahmina Nasrin, et al.. (2019). Artificial Intelligence in Diabetic Retinopathy: Insights from a Meta-Analysis of Deep Learning. Studies in health technology and informatics. 264. 1556–1557. 6 indexed citations
16.
Sadeghi, Mojtaba, et al.. (2019). Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR). AGUFM. 2019. 6 indexed citations
17.
Iqbal, Usman, Phung‐Anh Nguyen, Md. Mohaimenul Islam, et al.. (2017). The concomitant association of thyroid disorders and Myasthenia gravis. Translational Neuroscience. 8(1). 27–30. 12 indexed citations
18.
Islam, Md. Mohaimenul, Usman Iqbal, Bruno Walther, et al.. (2016). Benzodiazepine Use and Risk of Dementia in the Elderly Population: A Systematic Review and Meta-Analysis. Neuroepidemiology. 47(3-4). 181–191. 176 indexed citations
19.
Liu, Ju‐Chi, MING‐HSIUNG HSIEH, Shuen-Hsin Liu, et al.. (2016). Cloud-based BP system integrated with CPOE improves self-management of the hypertensive patients: A randomized controlled trial. Computer Methods and Programs in Biomedicine. 132. 105–113. 11 indexed citations
20.
Iqbal, Usman, et al.. (2013). The relationship between usage intention and adoption of electronic health records at primary care clinics. Computer Methods and Programs in Biomedicine. 112(3). 731–737. 25 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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