Hossein Kashiani

614 total citations · 1 hit paper
16 papers, 347 citations indexed

About

Hossein Kashiani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hossein Kashiani has authored 16 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Hossein Kashiani's work include Adversarial Robustness in Machine Learning (6 papers), Face recognition and analysis (5 papers) and Biometric Identification and Security (4 papers). Hossein Kashiani is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Face recognition and analysis (5 papers) and Biometric Identification and Security (4 papers). Hossein Kashiani collaborates with scholars based in United States and Iran. Hossein Kashiani's co-authors include Shahriar B. Shokouhi, Omid Nejati Manzari, Ahmad Ayatollahi, Abdollah Amirkhani, Masoud Masih‐Tehrani, Nasser M. Nasrabadi, Sobhan Soleymani, Piyush M. Mehta and Fatemeh Afghah and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers in Biology and Medicine.

In The Last Decade

Hossein Kashiani

12 papers receiving 338 citations

Hit 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.

MedViT: A robust vision transformer for generalized medical image classification

2023 187 citations Omid Nejati Manzari, Hossein Kashiani et al. Computers in Biology and Medicine profile →

Peers

Hossein Kashiani

CVPR

AI

RNMI

NEURO

BE

Gangming Zhao China

Jieru Mei United States

Lituan Wang China

Sonali Dash India

Patrick Kwabena Mensah Ghana

Kh Tohidul Islam Australia

Jie-Neng Chen United States

Amin Alqudah Jordan

Lazaros Tsochatzidis Greece

Gangming Zhao China

Hossein Kashiani

205 ×1.1

CVPR

167 ×1.2

AI

172 ×1.7

RNMI

23 ×0.5

NEURO

23 ×0.7

BE

Citations per year, relative to Hossein Kashiani Hossein Kashiani (= 1×) peers Gangming Zhao

Countries citing papers authored by Hossein Kashiani

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Kashiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Kashiani

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

All Works

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16 of 16 papers shown

1.

Kashiani, Hossein, et al.. (2025). FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing. 8775–8785.

2.

Kashiani, Hossein, et al.. (2025). ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection Under Domain Shift. 7908–7917.

3.

Kashiani, Hossein, et al.. (2025). Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models. 6207–6216.

4.

Kashiani, Hossein, et al.. (2024). CATFace: Cross-Attribute-Guided Transformer With Self-Attention Distillation for Low-Quality Face Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 6(1). 132–146. 5 indexed citations

5.

Kashiani, Hossein, et al.. (2023). Towards Generalizable Morph Attack Detection with Consistency Regularization. 2 indexed citations

6.

Manzari, Omid Nejati, et al.. (2023). MedViT: A robust vision transformer for generalized medical image classification. Computers in Biology and Medicine. 157. 106791–106791. 187 indexed citations breakdown →

7.

Mehta, Piyush M., et al.. (2023). Multi-Context Dual Hyper-Prior Neural Image Compression. 618–625. 4 indexed citations

8.

Kashiani, Hossein, et al.. (2023). Face Image Quality Vector Assessment for Biometrics Applications. 511–520. 7 indexed citations

9.

Kashiani, Hossein, et al.. (2023). AAFACE: Attribute-Aware Attentional Network for Face Recognition. 1940–1944. 3 indexed citations

10.

Manzari, Omid Nejati, et al.. (2023). Robust transformer with locality inductive bias and feature normalization. Engineering Science and Technology an International Journal. 38. 101320–101320. 15 indexed citations

11.

Kashiani, Hossein, et al.. (2023). CCFace: Classification Consistency for Low-Resolution Face Recognition. 1–10.

12.

Kashiani, Hossein, et al.. (2022). Robust Ensemble Morph Detection with Domain Generalization. 32. 1–10. 9 indexed citations

13.

Amirkhani, Abdollah, et al.. (2021). Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments. Expert Systems with Applications. 183. 115417–115417. 50 indexed citations

14.

Amirkhani, Abdollah, et al.. (2021). Robust Semantic Segmentation With Multi-Teacher Knowledge Distillation. IEEE Access. 9. 119049–119066. 59 indexed citations

15.

Kashiani, Hossein, et al.. (2021). Lightweight Local Transformer for COVID-19 Detection Using Chest CT Scans. 5 indexed citations

16.

Amirkhani, Abdollah, et al.. (2021). Auto-Driving Policies in Highway based on Distributional Deep Reinforcement Learning. 1–6. 1 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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