Hossein Azizpour

10.7k total citations · 3 hit papers
30 papers, 5.7k citations indexed

About

Hossein Azizpour is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Hossein Azizpour has authored 30 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mechanics. Recurrent topics in Hossein Azizpour's work include Fluid Dynamics and Turbulent Flows (7 papers), Model Reduction and Neural Networks (6 papers) and AI in cancer detection (5 papers). Hossein Azizpour is often cited by papers focused on Fluid Dynamics and Turbulent Flows (7 papers), Model Reduction and Neural Networks (6 papers) and AI in cancer detection (5 papers). Hossein Azizpour collaborates with scholars based in Sweden, Germany and Spain. Hossein Azizpour's co-authors include Josephine Sullivan, Stefan Carlsson, Ali Sharif Razavian, Ricardo Vinuesa, Iolanda Leite, Max Tegmark, Madeline Balaam, Simone D. Langhans, Anna Felländer and Virginia Dignum and has published in prestigious journals such as Nature Medicine, Nature Communications and Bioinformatics.

In The Last Decade

Hossein Azizpour

27 papers receiving 5.5k citations

Hit Papers

3 papers align trajectories

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.

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

2014 2.8k citations Ali Sharif Razavian, Hossein Azizpour et al. KTH Publication Database DiVA (KTH Royal Institute of Technology) profile →
The role of artificial intelligence in achieving the Sustainable Development Goals

2020 1.4k citations Ricardo Vinuesa, Hossein Azizpour et al. Nature Communications profile →
Convolutional-network models to predict wall-bounded turbulence from wall quantities

2021 144 citations Luca Guastoni, Alejandro Güemes et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hossein Azizpour Sweden	16	2.4k	1.6k	601	526	399	30	5.7k
Haoran Xie Hong Kong	44	3.6k 1.5×	3.9k 2.4×	646 1.1×	478 0.9×	177 0.4×	358	11.7k
P. M. Durai Raj Vincent India	28	2.7k 1.1×	4.0k 2.4×	486 0.8×	630 1.2×	232 0.6×	92	10.0k
Jean Pouget-Abadie United States	6	3.3k 1.4×	2.5k 1.5×	698 1.2×	681 1.3×	297 0.7×	11	8.2k
Ting Liu China	23	2.4k 1.0×	2.1k 1.3×	524 0.9×	423 0.8×	287 0.7×	109	7.0k
Aristidis Likas Greece	34	2.1k 0.9×	2.8k 1.7×	485 0.8×	276 0.5×	361 0.9×	153	7.1k
Raymond Y.K. Lau Hong Kong	37	2.7k 1.1×	3.1k 1.9×	873 1.5×	370 0.7×	113 0.3×	213	8.0k
Nathan S. Netanyahu United States	23	3.1k 1.3×	2.2k 1.3×	587 1.0×	216 0.4×	780 2.0×	90	7.5k
Sherjil Ozair United States	6	3.5k 1.5×	2.7k 1.7×	704 1.2×	699 1.3×	302 0.8×	7	8.5k

Countries citing papers authored by Hossein Azizpour

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Azizpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Azizpour

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Häfner, Sebastian, Heng Fang, Hossein Azizpour, & Yifang Ban. (2025). Continuous Urban Change Detection From Satellite Image Time Series With Temporal Feature Refinement and Multitask Integration. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 1 indexed citations

Vinuesa, Ricardo, et al.. (2025). Inverse Problems with Diffusion Models: A MAP Estimation Perspective. 4153–4162.

Dembrower, Karin, et al.. (2024). Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening. Radiology. 311(1). e232535–e232535. 10 indexed citations

Liu, Yue, Theodoros Foukakis, Irma Fredriksson, et al.. (2024). AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial. Nature Medicine. 30(9). 2623–2630. 28 indexed citations

Guastoni, Luca, Alejandro Güemes, Andrea Ianiro, et al.. (2024). Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers. Theoretical and Computational Fluid Dynamics. 39(1). 13–13. 1 indexed citations

Nascetti, Andrea, et al.. (2023). Unsupervised flood detection on SAR time series using variational autoencoder. International Journal of Applied Earth Observation and Geoinformation. 126. 103635–103635. 9 indexed citations

Guastoni, Luca, Jean Rabault, Philipp Schlatter, Hossein Azizpour, & Ricardo Vinuesa. (2023). Deep reinforcement learning for turbulent drag reduction in channel flows. The European Physical Journal E. 46(4). 27–27. 68 indexed citations

Häfner, Sebastian, Andrea Nascetti, Hossein Azizpour, & Yifang Ban. (2021). Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 49 indexed citations

Guastoni, Luca, et al.. (2021). Deep Reinforcement Learning for Active Drag Reduction in Wall Turbulence. Bulletin of the American Physical Society. 1 indexed citations

10.

Hurtado, David Menéndez, et al.. (2020). GraphQA: protein model quality assessment using graph convolutional networks. Bioinformatics. 37(3). 360–366. 66 indexed citations

11.

Vinuesa, Ricardo, Hossein Azizpour, Iolanda Leite, et al.. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications. 11(1). 233–233. 1403 indexed citations breakdown →

12.

Dembrower, Karin, Yue Liu, Hossein Azizpour, et al.. (2019). Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction. Radiology. 294(2). 265–272. 107 indexed citations

13.

Guastoni, Luca, et al.. (2019). Predictions of turbulent shear flows using deep neural networks. Physical Review Fluids. 4(5). 187 indexed citations

14.

Azizpour, Hossein, et al.. (2018). Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4907–4916. 39 indexed citations

15.

Smith, Kevin, Filippo Piccinini, Tamás Balassa, et al.. (2018). Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays. Cell Systems. 6(6). 636–653. 62 indexed citations

16.

Carlsson, Stefan, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, & Kevin Smith. (2017). The Preimage of Rectifier Network Activities. KTH Publication Database DiVA (KTH Royal Institute of Technology).

17.

Robertson, Stephanie, Hossein Azizpour, Kevin Smith, & Johan Hartman. (2017). Digital image analysis in breast pathology—from image processing techniques to artificial intelligence. Translational research. 194. 19–35. 204 indexed citations

18.

Azizpour, Hossein, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, & Stefan Carlsson. (2015). From generic to specific deep representations for visual recognition. KTH Publication Database DiVA (KTH Royal Institute of Technology). 36–45. 252 indexed citations

19.

Azizpour, Hossein, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, & Stefan Carlsson. (2014). From Generic to Specific Deep Representations for Visual Recognition. arXiv (Cornell University). 15 indexed citations

20.

Razavian, Ali Sharif, Hossein Azizpour, Josephine Sullivan, & Stefan Carlsson. (2014). CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. KTH Publication Database DiVA (KTH Royal Institute of Technology). 512–519. 2830 indexed citations breakdown →

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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