Hossein Rabbani

5.3k total citations
238 papers, 3.9k citations indexed

About

Hossein Rabbani is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Hossein Rabbani has authored 238 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Radiology, Nuclear Medicine and Imaging, 113 papers in Computer Vision and Pattern Recognition and 78 papers in Biomedical Engineering. Recurrent topics in Hossein Rabbani's work include Retinal Imaging and Analysis (109 papers), Optical Coherence Tomography Applications (67 papers) and Image and Signal Denoising Methods (53 papers). Hossein Rabbani is often cited by papers focused on Retinal Imaging and Analysis (109 papers), Optical Coherence Tomography Applications (67 papers) and Image and Signal Denoising Methods (53 papers). Hossein Rabbani collaborates with scholars based in Iran, United States and Canada. Hossein Rabbani's co-authors include Rahele Kafieh, Saeed Gazor, Fedra Hajizadeh, Alireza Mehridehnavi, Zahra Amini, Leyuan Fang, Reza Rasti, Mansur Vafadust, Saeed Kermani and Milan Sonka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Hossein Rabbani

222 papers receiving 3.7k citations

Peers

Hossein Rabbani

RNMI

CVPR

OPHTH

Yitian Zhao China

Yanwu Xu China

Philippe Burlina United States

Aurélio Campilho Portugal

Jian Yang China

Muhammad Moazam Fraz Pakistan

Jeny Rajan India

Matthew B. Blaschko Belgium

Michael H. Goldbaum United States

Meindert Niemeijer United States

Yitian Zhao China

Hossein Rabbani

2.1k ×0.9

RNMI

1.4k ×0.8

CVPR

1.2k ×0.8

OPHTH

458 ×0.4

145 ×0.3

Citations per year, relative to Hossein Rabbani Hossein Rabbani (= 1×) peers Yitian Zhao

Countries citing papers authored by Hossein Rabbani

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Rabbani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Rabbani

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

All Works

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20 of 20 papers shown

Rabbani, Hossein, et al.. (2025). EEG Coupled Scale-Invariant Dynamics for Emotion Recognition: A Domain Adaptation Approach. IEEE Transactions on Affective Computing. 16(4). 3584–3595.

Rabbani, Hossein, Fereshteh Ashtari, Hanna Zimmermann, et al.. (2023). Discrimination of multiple sclerosis using OCT images from two different centers. Multiple Sclerosis and Related Disorders. 77. 104846–104846. 9 indexed citations

Rabbani, Hossein, et al.. (2023). Detecting red-lesions from retinal fundus images using unique morphological features. Scientific Reports. 13(1). 3487–3487. 6 indexed citations

Baharlouei, Zahra, Hossein Rabbani, & Gerlind Plonka. (2023). Wavelet scattering transform application in classification of retinal abnormalities using OCT images. Scientific Reports. 13(1). 19013–19013. 14 indexed citations

Rabbani, Hossein, et al.. (2023). Exudate identification in retinal fundus images using precise textural verifications. Scientific Reports. 13(1). 2824–2824. 11 indexed citations

Amini, Zahra, et al.. (2023). Local Self-Similar Solution of ADMM for Denoising of Retinal OCT Images. IEEE Transactions on Instrumentation and Measurement. 73. 1–8. 2 indexed citations

Rabbani, Hossein, et al.. (2022). Automatic Detection of Microaneurysms in OCT Images Using Bag of Features. Computational and Mathematical Methods in Medicine. 2022. 1–10. 2 indexed citations

Amini, Zahra, et al.. (2022). An Interpretable Convolutional Neural Network for P300 Detection: Analysis of Time Frequency Features for Limited Data. IEEE Sensors Journal. 22(9). 8685–8692. 10 indexed citations

Amini, Zahra, et al.. (2022). Logarithmic Moments for Mixture of Symmetric Alpha Stable Modelling. IEEE Signal Processing Letters. 29. 2527–2531. 1 indexed citations

10.

Rabbani, Hossein, et al.. (2021). A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based On Sparse Representation. IEEE Journal of Biomedical and Health Informatics. 25(9). 3576–3586.

11.

Amini, Zahra, et al.. (2021). Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising. IEEE Transactions on Medical Imaging. 40(8). 2129–2141. 22 indexed citations

12.

Kafieh, Rahele, et al.. (2021). A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images. IEEE Transactions on Instrumentation and Measurement. 70. 1–8. 32 indexed citations

13.

Rabbani, Hossein, et al.. (2020). Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition. SHILAP Revista de lepidopterología. 17(3). 1–31. 3 indexed citations

14.

Rasti, Reza, Hossein Rabbani, Alireza Mehridehnavi, & Fedra Hajizadeh. (2017). Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble. IEEE Transactions on Medical Imaging. 37(4). 1024–1034. 200 indexed citations

15.

Momenzadeh, Mohammadreza, et al.. (2017). Computer‐aided diagnosis software for vulvovaginal candidiasis detection from Pap smear images. Microscopy Research and Technique. 81(1). 13–21. 6 indexed citations

16.

Rashno, Abdolreza, Keshab K. Parhi, Behzad Nazari, et al.. (2017). Automated intra-retinal, sub-retinal and sub-RPE cyst regions segmentation in age-related macular degeneration (AMD) subjects. Investigative Ophthalmology & Visual Science. 58(8). 397–397. 8 indexed citations

17.

Shahmoradi, Mahdi, et al.. (2016). A comparative study of new and current methods for dental micro-CT image denoising. Dentomaxillofacial Radiology. 45(3). 20150302–20150302. 18 indexed citations

18.

Dehnavi, Alireza Mehri, et al.. (2015). A simple and accurate method for white blood cells segmentation using K-means algorithm. 1–6. 25 indexed citations

19.

Rabbani, Hossein, et al.. (2011). Ischemia detection by electrocardiogram in wavelet domain using entropy measure. SHILAP Revista de lepidopterología. 6 indexed citations

20.

Rabbani, Hossein, et al.. (2011). Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network. SHILAP Revista de lepidopterología. 2 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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