May Phu Paing

470 total citations
29 papers, 283 citations indexed

About

May Phu Paing is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, May Phu Paing has authored 29 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in May Phu Paing's work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). May Phu Paing is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). May Phu Paing collaborates with scholars based in Thailand, Japan and South Korea. May Phu Paing's co-authors include Somsak Choomchuay, Chuchart Pintavirooj, Kazuhiko Hamamoto, S. Tungjitkusolmun and Aniwat Juhong and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

May Phu Paing

28 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
May Phu Paing Thailand 12 116 84 83 40 34 29 283
Abdolvahab Ehsani Rad Malaysia 8 133 1.1× 243 2.9× 157 1.9× 18 0.5× 120 3.5× 16 496
Niranjan Joshi India 10 101 0.9× 172 2.0× 48 0.6× 13 0.3× 13 0.4× 32 286
Soroush Baseri Saadi Belgium 6 85 0.7× 106 1.3× 85 1.0× 17 0.4× 34 1.0× 11 262
Pawan Kumar Mall India 7 117 1.0× 83 1.0× 110 1.3× 16 0.4× 40 1.2× 13 292
Jiho Choi South Korea 13 139 1.2× 208 2.5× 93 1.1× 17 0.4× 32 0.9× 28 475
A. K. M. Rakibul Haque Rafid Australia 10 114 1.0× 107 1.3× 144 1.7× 33 0.8× 26 0.8× 13 320
Xiaozheng Xie China 5 128 1.1× 93 1.1× 131 1.6× 27 0.7× 34 1.0× 12 344
Hossein Kashiani United States 6 103 0.9× 179 2.1× 143 1.7× 12 0.3× 31 0.9× 16 347
Aiden Nibali Australia 8 206 1.8× 126 1.5× 131 1.6× 146 3.6× 50 1.5× 18 456
Jachih Fu Taiwan 10 96 0.8× 154 1.8× 103 1.2× 17 0.4× 40 1.2× 25 322

Countries citing papers authored by May Phu Paing

Since Specialization
Citations

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

Fields of papers citing papers by May Phu Paing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Phu Paing. 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 May Phu Paing. The network helps show where May Phu Paing may publish in the future.

Co-authorship network of co-authors of May Phu Paing

This figure shows the co-authorship network connecting the top 25 collaborators of May Phu Paing. A scholar is included among the top collaborators of May Phu Paing 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 May Phu Paing. May Phu Paing 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.
Paing, May Phu, et al.. (2025). Analyzing explainability of YOLO-based breast cancer detection using heat map visualizations. Quantitative Imaging in Medicine and Surgery. 15(7). 6252–6271.
2.
Paing, May Phu, et al.. (2024). Comparison of Deep Learning-based Models for Oral Disease Detection. 187–191. 1 indexed citations
3.
Paing, May Phu, et al.. (2024). Explainable AI (XAI) for Breast Cancer Diagnosis. 1–5. 1 indexed citations
4.
Paing, May Phu, et al.. (2024). Instance segmentation of cells and nuclei from multi-organ cross-protocol microscopic images. Quantitative Imaging in Medicine and Surgery. 14(9). 6204–6221. 1 indexed citations
5.
Pintavirooj, Chuchart, et al.. (2024). A Deep Learning Model for Bacterial Classification Using Big Transfer (BiT). IEEE Access. 12. 15609–15621. 4 indexed citations
6.
Paing, May Phu, et al.. (2023). Parking Time Violation Tracking Using YOLOv8 and Tracking Algorithms. Sensors. 23(13). 5843–5843. 36 indexed citations
7.
Hamamoto, Kazuhiko, et al.. (2022). Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs. Entropy. 24(10). 1358–1358. 12 indexed citations
8.
Paing, May Phu, et al.. (2022). Instance Segmentation of Multiple Myeloma Cells Using Deep-Wise Data Augmentation and Mask R-CNN. Entropy. 24(1). 134–134. 8 indexed citations
9.
Paing, May Phu, Aniwat Juhong, & Chuchart Pintavirooj. (2022). Design and Development of an Assistive System Based on Eye Tracking. Electronics. 11(4). 535–535. 17 indexed citations
10.
Hamamoto, Kazuhiko, et al.. (2022). Tooth Localization using YOLOv3 for Dental Diagnosis on Panoramic Radiographs. IEEJ Transactions on Electronics Information and Systems. 142(5). 557–562. 5 indexed citations
11.
Paing, May Phu, et al.. (2020). Automatic Detection of Pulmonary Nodules using Three-dimensional Chain Coding and Optimized Random Forest. Applied Sciences. 10(7). 2346–2346. 12 indexed citations
12.
Paing, May Phu, et al.. (2019). Cervical Cancer Detection and Classification from Pap Smear Images. 47–54. 15 indexed citations
13.
Paing, May Phu, Kazuhiko Hamamoto, S. Tungjitkusolmun, & Chuchart Pintavirooj. (2019). Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications. Applied Sciences. 9(11). 2329–2329. 17 indexed citations
14.
Paing, May Phu, et al.. (2019). Automatic Detection of Mediastinal Lymph Nodes using 3D Convolutional Neural Network. 26–31. 1 indexed citations
15.
Paing, May Phu & Somsak Choomchuay. (2018). 3D pulmonary nodules detection using fast marching segmentation. Journal of Fundamental and Applied Sciences. 9(4S). 319–319. 1 indexed citations
16.
Paing, May Phu, Chuchart Pintavirooj, S. Tungjitkusolmun, Somsak Choomchuay, & Kazuhiko Hamamoto. (2018). Comparison of Sampling Methods for Imbalanced Data Classification in Random Forest. 1–5. 12 indexed citations
17.
Paing, May Phu & Somsak Choomchuay. (2017). A computer aided diagnosis system for detection of lung nodules from series of CT slices. 302–305. 8 indexed citations
18.
Paing, May Phu & Somsak Choomchuay. (2017). Ground glass opacity (GGO) nodules detection from lung CT scans. 230–235. 4 indexed citations
19.
Paing, May Phu & Somsak Choomchuay. (2017). Classification of margin characteristics from 3D pulmonary nodules. 1–5. 5 indexed citations
20.

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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