Ian Pan

4.5k total citations · 1 hit paper
31 papers, 1.8k citations indexed

About

Ian Pan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Ian Pan has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Health Informatics and 6 papers in Artificial Intelligence. Recurrent topics in Ian Pan's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Artificial Intelligence in Healthcare and Education (9 papers) and COVID-19 diagnosis using AI (8 papers). Ian Pan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Artificial Intelligence in Healthcare and Education (9 papers) and COVID-19 diagnosis using AI (8 papers). Ian Pan collaborates with scholars based in United States, Brazil and Canada. Ian Pan's co-authors include Saurabh Agarwal, Kasey Halsey, Harrison X. Bai, Thi My Linh Tran, Weihua Liao, B. R. Hsieh, Ji Whae Choi, Terrance T. Healey, T K Egglin and Mei Ji and has published in prestigious journals such as Radiology, American Journal of Public Health and American Journal of Roentgenology.

In The Last Decade

Ian Pan

30 papers receiving 1.7k citations

Hit Papers

Performance of Radiologists in Differentiating COVID-19 f... 2020 2026 2022 2024 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT
    2020 825 citations Harrison X. Bai, B. R. Hsieh et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Pan United States 14 1.2k 410 357 335 259 31 1.8k
Michaela Cellina Italy 24 610 0.5× 79 0.2× 163 0.5× 139 0.4× 218 0.8× 121 1.5k
Shelly Soffer Israel 21 509 0.4× 249 0.6× 303 0.8× 214 0.6× 179 0.7× 97 2.1k
Peter Mildenberger Germany 25 941 0.8× 156 0.4× 181 0.5× 173 0.5× 325 1.3× 129 2.5k
Eui Jin Hwang South Korea 27 1.9k 1.6× 135 0.3× 350 1.0× 387 1.2× 384 1.5× 93 2.7k
Paras Lakhani United States 18 1.3k 1.1× 105 0.3× 517 1.4× 343 1.0× 255 1.0× 39 2.0k
Andrea Borghesi Italy 19 609 0.5× 379 0.9× 133 0.4× 64 0.2× 66 0.3× 66 1.4k
Keno K. Bressem Germany 26 785 0.7× 92 0.2× 427 1.2× 534 1.6× 229 0.9× 109 1.8k
Gianpaolo Carrafiello Italy 24 392 0.3× 111 0.3× 194 0.5× 100 0.3× 230 0.9× 103 1.8k
Jooae Choe South Korea 20 878 0.7× 291 0.7× 152 0.4× 66 0.2× 214 0.8× 94 1.8k
Fernando Uliana Kay United States 20 1.2k 1.0× 651 1.6× 47 0.1× 42 0.1× 289 1.1× 61 2.4k

Countries citing papers authored by Ian Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ian Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Pan. A scholar is included among the top collaborators of Ian Pan 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 Ian Pan. Ian Pan 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.
Kline, Timothy L., Felipe Kitamura, Ian Pan, et al.. (2025). Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: Classification. Journal of Imaging Informatics in Medicine. 2 indexed citations
2.
Lee, Ghee Rye, et al.. (2025). External Validation of a Winning Artificial Intelligence Algorithm from the RSNA 2022 Cervical Spine Fracture Detection Challenge. American Journal of Neuroradiology. 46(9). 1852–1858. 2 indexed citations
3.
Yu, Feiyang, Rayan Krishnan, Ian Pan, et al.. (2023). Evaluating progress in automatic chest X-ray radiology report generation. Patterns. 4(9). 100802–100802. 57 indexed citations
4.
Pan, Ian, et al.. (2023). Deep learning discrimination of rheumatoid arthritis from osteoarthritis on hand radiography. Skeletal Radiology. 53(2). 377–383. 4 indexed citations
5.
Pan, Ian & Raymond Y. Huang. (2023). Artificial intelligence in neuroimaging of brain tumors: reality or still promise?. Current Opinion in Neurology. 36(6). 549–556. 3 indexed citations
6.
Meng, Shujuan, Thi My Linh Tran, Mingzhe Hu, et al.. (2022). End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study. Journal of Stroke and Cerebrovascular Diseases. 31(11). 106753–106753. 8 indexed citations
7.
Filice, Ross W., Anouk Stein, Ian Pan, & George Shih. (2022). Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. Journal of Digital Imaging. 35(2). 335–339. 7 indexed citations
8.
Yi, Thomas, Ian Pan, Scott Collins, et al.. (2021). DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. Journal of Digital Imaging. 34(6). 1405–1413. 6 indexed citations
9.
Cheng, Phillip M., Emmanuel Montagnon, Rikiya Yamashita, et al.. (2021). Deep Learning: An Update for Radiologists. Radiographics. 41(5). 1427–1445. 105 indexed citations
10.
Kitamura, Felipe, Ian Pan, Suely Fazio Ferraciolli, Kristen W. Yeom, & Nitamar Abdala. (2021). Clinical Artificial Intelligence Applications in Radiology. Radiologic Clinics of North America. 59(6). 1003–1012. 4 indexed citations
11.
O’Neill, W. Charles, Thomas J. Kim, Ian Pan, et al.. (2021). SCU‐Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms. Medical Physics. 48(10). 5851–5861. 19 indexed citations
12.
Bai, Harrison X., B. R. Hsieh, Zeng Xiong, et al.. (2020). Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology. 296(2). E46–E54. 825 indexed citations breakdown →
13.
Pan, Ian, Grayson L. Baird, Simukayi Mutasa, et al.. (2020). Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs. Radiology Artificial Intelligence. 2(4). e190198–e190198. 26 indexed citations
14.
15.
Wang, Robin, Yeyu Cai, Ian Pan, et al.. (2020). Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging. European Radiology. 31(7). 4960–4971. 53 indexed citations
16.
He, Yu, Ian Pan, Kasey Halsey, et al.. (2020). Deep learning-based classification of primary bone tumors on radiographs: A preliminary study. EBioMedicine. 62. 103121–103121. 80 indexed citations
17.
Pan, Ian, Hans Henrik Thodberg, Safwan S. Halabi, Jayashree Kalpathy–Cramer, & David B. Larson. (2019). Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge. Radiology Artificial Intelligence. 1(6). e190053–e190053. 39 indexed citations
18.
19.
Halabi, Safwan S., Luciano M. Prevedello, Jayashree Kalpathy–Cramer, et al.. (2018). The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 290(2). 498–503. 283 indexed citations
20.
Pan, Ian, et al.. (2017). Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois. American Journal of Public Health. 107(6). 938–944. 27 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 Michaela Cellina Breakdown of academic impact, for papers by Shelly Soffer Breakdown of academic impact, for papers by Peter Mildenberger Breakdown of academic impact, for papers by Eui Jin Hwang Breakdown of academic impact, for papers by Paras Lakhani Breakdown of academic impact, for papers by Andrea Borghesi Breakdown of academic impact, for papers by Keno K. Bressem Breakdown of academic impact, for papers by Gianpaolo Carrafiello Breakdown of academic impact, for papers by Jooae Choe Breakdown of academic impact, for papers by Fernando Uliana Kay
Rankless by CCL
2026