Saeed Hassanpour

4.1k total citations · 2 hit papers
80 papers, 2.1k citations indexed

About

Saeed Hassanpour is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Saeed Hassanpour has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 25 papers in Oncology and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Saeed Hassanpour's work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Colorectal Cancer Screening and Detection (14 papers). Saeed Hassanpour is often cited by papers focused on AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Colorectal Cancer Screening and Detection (14 papers). Saeed Hassanpour collaborates with scholars based in United States, United Kingdom and Netherlands. Saeed Hassanpour's co-authors include Naofumi Tomita, Curtis P. Langlotz, Manu Goyal, Yvonne Y. Cheung, Arief A. Suriawinata, Shaofeng Yan, Thomas Knackstedt, Matthew A. Suriawinata, Lorenzo Torresani and Lisa A. Marsch and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Saeed Hassanpour

72 papers receiving 2.0k citations

Hit Papers

Artificial intelligence-based image classification method... 2020 2026 2022 2024 2020 2025 50 100 150 200 250

Peers

Saeed Hassanpour
Comparison fields: 5 of 137
  • Artificial Intelligence 926
  • Radiology, Nuclear Medicine and Imaging 751
  • Oncology 576
  • Health Informatics 305
  • Biomedical Engineering 296
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Citations per field, relative to Saeed Hassanpour
Saeed Hassanpour · 1×
Citations per year, relative to Saeed Hassanpour
Saeed Hassanpour · 1×

Countries citing papers authored by Saeed Hassanpour

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Hassanpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Hassanpour

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Hassanpour. A scholar is included among the top collaborators of Saeed Hassanpour 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 Saeed Hassanpour. Saeed Hassanpour 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
# Work Indexed citations
1 0
2 0
3 0
4 7
5 11
6 1
7 0
8 4
9 79
10 1
11 10
12 7
13 8
14 8
15 6
16 15
17 2
18 57
19
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.
4
20
A Rule Management and Elicitation Tool for SWRL Rule Bases.
1

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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2026