Hieu H. Pham

1.2k total citations
34 papers, 380 citations indexed

About

Hieu H. Pham is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hieu H. Pham has authored 34 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hieu H. Pham's work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and ECG Monitoring and Analysis (4 papers). Hieu H. Pham is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and ECG Monitoring and Analysis (4 papers). Hieu H. Pham collaborates with scholars based in Vietnam, United States and France. Hieu H. Pham's co-authors include Ha Q. Nguyen, Linh Le, Hieu Nguyen, Van Vu, Minh Quang Dao, Khanh Lam, Cuong Do, Phi Le Nguyen, Kok‐Seng Wong and Ha Q. Nguyen and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Hieu H. Pham

30 papers receiving 366 citations

Peers

Hieu H. Pham
Rayan Krishnan United States
Adeel Abbasi Pakistan
Ruban Nersisson India
Ye Jin Kim South Korea
Solon A. Peixoto Brazil
Samuel Budd United Kingdom
Deevyankar Agarwal Spain
Qurat-ul-ain Mastoi United Kingdom
Yunendah Nur Fuadah Indonesia
Erkan Denız Türkiye
Rayan Krishnan United States
Hieu H. Pham
Citations per year, relative to Hieu H. Pham Hieu H. Pham (= 1×) peers Rayan Krishnan

Countries citing papers authored by Hieu H. Pham

Since Specialization
Citations

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

Fields of papers citing papers by Hieu H. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hieu H. Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Hieu H. Pham. A scholar is included among the top collaborators of Hieu H. 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 Hieu H. Pham. Hieu H. Pham 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.
Zhou, Tong, Ding Chen, Feng Liu, et al.. (2025). BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer’s Disease. IEEE Transactions on Consumer Electronics. 71(2). 3087–3098. 2 indexed citations
2.
Rong, Zichao, Saumil Chheda, Zhiling Zheng, et al.. (2025). Algorithmic iterative reticular synthesis of zeolitic imidazolate framework crystals. Nature Synthesis. 5(3). 409–419.
3.
Chen, Xuhang, Yanyan Shen, Mufti Mahmud, et al.. (2025). High-Fidelity Functional Ultrasound Reconstruction via a Visual Auto-Regressive Framework. IEEE Journal of Biomedical and Health Informatics. PP. 1–16.
4.
Nguyen‐Vo, Thanh‐Hoang, et al.. (2025). Foundation Model and Temporal Priors-guided Transductive Few-shot Action Recognition. 1–5. 1 indexed citations
5.
Vuong, Lan N., Vu N A Ho, Hieu H. Pham, et al.. (2024). O-190 Hormone-free versus FSH-primed infertility treatment of women with polycystic ovary syndrome using biphasic in vitro maturation: a randomised clinical trial. Human Reproduction. 39(Supplement_1). 1 indexed citations
6.
Nguyen, Truong Thao, et al.. (2024). FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks. 7981–7990. 1 indexed citations
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Pham, Hieu H., et al.. (2023). LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification. Biomedical Signal Processing and Control. 85. 104963–104963. 33 indexed citations
10.
Nguyen, Quan Dong, Hieu H. Pham, Kok‐Seng Wong, et al.. (2023). FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. IEEE Transactions on Network and Service Management. 21(1). 418–436. 5 indexed citations
11.
Le, Dung D., et al.. (2023). Enhancing Few-Shot Image Classification With Cosine Transformer. IEEE Access. 11. 79659–79672. 8 indexed citations
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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
14.
Nguyen, Hieu, Ha Q. Nguyen, Hieu H. Pham, et al.. (2023). VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. Scientific Data. 10(1). 277–277. 68 indexed citations
15.
Nguyen, Phi Le, et al.. (2023). Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Engineering Applications of Artificial Intelligence. 127. 107166–107166. 43 indexed citations
16.
Pham, Hieu H., et al.. (2023). PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children. Scientific Data. 10(1). 240–240. 22 indexed citations
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Nguyen, Thao, et al.. (2022). Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese. PLoS ONE. 17(10). e0276545–e0276545. 2 indexed citations
19.
Pham, Hieu H., et al.. (2022). Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks. PLoS ONE. 17(11). e0277081–e0277081. 12 indexed citations
20.
Nguyen, Thang V., et al.. (2022). Phase recognition in contrast‐enhanced CT scans based on deep learning and random sampling. Medical Physics. 49(7). 4518–4528. 11 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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