Hung N. Pham

624 total citations
19 papers, 365 citations indexed

About

Hung N. Pham is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hung N. Pham has authored 19 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hung N. Pham's work include Cardiac Imaging and Diagnostics (4 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (3 papers). Hung N. Pham is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (3 papers). Hung N. Pham collaborates with scholars based in Vietnam, Singapore and United States. Hung N. Pham's co-authors include Quang H. Nguyen, Binh P. Nguyen, T. T. Trang, Nhung Nghiem, Hợp Trần, Colin R Simpson, Cao Truong Tran, Zhongang Cai, Quang‐Cuong Pham and Cunjun Yu and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and IEEE Access.

In The Last Decade

Hung N. Pham

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung N. Pham Vietnam 8 145 120 83 63 57 19 365
Farida Mohsen Qatar 7 125 0.9× 99 0.8× 52 0.6× 61 1.0× 32 0.6× 17 316
Natascha Claudia D’Amico Italy 7 198 1.4× 305 2.5× 26 0.3× 80 1.3× 53 0.9× 10 538
Juri Yanase United States 5 128 0.9× 111 0.9× 30 0.4× 22 0.3× 52 0.9× 10 305
Tianyu Han Germany 12 243 1.7× 245 2.0× 21 0.3× 132 2.1× 101 1.8× 19 552
Rayan Krishnan United States 3 157 1.1× 123 1.0× 23 0.3× 64 1.0× 64 1.1× 3 385
Rafid Mostafiz Bangladesh 12 150 1.0× 112 0.9× 43 0.5× 11 0.2× 90 1.6× 29 315
Clara Mosquera-Lopez United States 16 181 1.2× 59 0.5× 75 0.9× 33 0.5× 107 1.9× 33 634
Soroosh Tayebi Arasteh Germany 10 185 1.3× 217 1.8× 19 0.2× 86 1.4× 84 1.5× 25 455
Nazanin Esmaili Australia 11 130 0.9× 266 2.2× 34 0.4× 170 2.7× 25 0.4× 26 583
Deevyankar Agarwal Spain 6 182 1.3× 185 1.5× 24 0.3× 37 0.6× 81 1.4× 10 413

Countries citing papers authored by Hung N. Pham

Since Specialization
Citations

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

Fields of papers citing papers by Hung N. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung N. Pham. 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 Hung N. Pham. The network helps show where Hung N. Pham may publish in the future.

Co-authorship network of co-authors of Hung N. Pham

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

All Works

19 of 19 papers shown
1.
2.
Pham, Hung N., et al.. (2024). MAGECODE: Machine-Generated Code Detection Method Using Large Language Models. IEEE Access. 12. 190186–190202. 2 indexed citations
3.
Nguyễn, Phi Duong, Dai Q. Tran, Hung N. Pham, et al.. (2023). Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography. Frontiers in Cardiovascular Medicine. 10. 1185172–1185172. 4 indexed citations
4.
5.
6.
Nguyen, Thach, et al.. (2022). SUPERIORITY OF NEW DYNAMIC CORONARY ANGIOGRAPHY TECHNIQUE BY SHOWING ANTEGRADE OR RETROGRADE, TURBULENT OR LAMINAR FLOW, AND SIMULTANEOUS PROXIMAL AND DISTAL CORONARY FLOWS. Journal of the American College of Cardiology. 79(9). 1228–1228. 1 indexed citations
7.
8.
Pham, Hung N., et al.. (2021). Perceptions of high school administrators, teachers, and staff on their educational action research skills. Journal for Educators Teachers and Trainers. 12(4). 1 indexed citations
9.
Seah, Jarrel, Cyril Tang, Quinlan D. Buchlak, et al.. (2021). Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study. The Lancet Digital Health. 3(8). e496–e506. 128 indexed citations
10.
11.
Heidari, Morteza, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, et al.. (2021). An optimal machine learning model for breast lesion classification based on random projection algorithm for feature optimization. 1 indexed citations
12.
Yuan, Ling, et al.. (2020). IQ-Net: A DNN Model for Estimating Interaction-level Dialogue Quality with Conversational Agents.. Knowledge Discovery and Data Mining. 3 indexed citations
13.
Pham, Hung N., et al.. (2019). Multimodal Detection of Parkinson Disease based on Vocal and Improved Spiral Test. 279–284. 17 indexed citations
14.
Nguyen, Binh P., Hung N. Pham, Hợp Trần, et al.. (2019). Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records. Computer Methods and Programs in Biomedicine. 182. 105055–105055. 97 indexed citations
15.
Pham, Hung N., Tanmoy Chakraborty, Huaqing Wu, et al.. (2019). Lesion Segmentation and Automated Melanoma Detection using Deep Convolutional Neural Networks and XGBoost. 142–147. 24 indexed citations
16.
17.
Yu, Cunjun, Zhongang Cai, Hung N. Pham, & Quang‐Cuong Pham. (2019). Siamese Convolutional Neural Network for Sub-millimeter-accurate Camera Pose Estimation and Visual Servoing. 935–941. 35 indexed citations
18.
Nguyen, Quang H., T. T. Trang, Tuan Anh Phan, et al.. (2019). Music Genre Classification using Residual Attention Network. 115–119. 14 indexed citations
19.
Nguyen, Quang H., T. T. Trang, Kelly Chen, et al.. (2019). Breast Cancer Prediction using Feature Selection and Ensemble Voting. 250–254. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Farida Mohsen Breakdown of academic impact, for papers by Natascha Claudia D’Amico Breakdown of academic impact, for papers by Juri Yanase Breakdown of academic impact, for papers by Tianyu Han Breakdown of academic impact, for papers by Rayan Krishnan Breakdown of academic impact, for papers by Rafid Mostafiz Breakdown of academic impact, for papers by Clara Mosquera-Lopez Breakdown of academic impact, for papers by Soroosh Tayebi Arasteh Breakdown of academic impact, for papers by Nazanin Esmaili Breakdown of academic impact, for papers by Deevyankar Agarwal
Rankless by CCL
2026