Mehrad Aria

543 total citations
14 papers, 367 citations indexed

About

Mehrad Aria is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Surgery. According to data from OpenAlex, Mehrad Aria has authored 14 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Mehrad Aria's work include AI in cancer detection (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Mehrad Aria is often cited by papers focused on AI in cancer detection (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Mehrad Aria collaborates with scholars based in Iran, United States and Canada. Mehrad Aria's co-authors include Mustafa Ghaderzadeh, Farkhondeh Asadi, Hassan Abolghasemi, Davood Bashash, Azamossadat Hosseini, Ramezan Jafari, Nacer Farajzadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei and Azadeh Bayani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Mehrad Aria

14 papers receiving 358 citations

Peers

Mehrad Aria

RNMI

CVPR

ONCOL

Firas Khader Germany

Shilei Cao China

Sarfaraz Hussein United States

Pingjun Chen United States

Soroosh Tayebi Arasteh Germany

Surbhi Gupta India

Lina Choridah Indonesia

Tianyu Han Germany

Nicola Rieke United Kingdom

Firas Khader Germany

Mehrad Aria

192 ×1.1

RNMI

164 ×0.9

84 ×0.8

CVPR

52 ×1.4

15 ×0.4

ONCOL

Citations per year, relative to Mehrad Aria Mehrad Aria (= 1×) peers Firas Khader

Countries citing papers authored by Mehrad Aria

Since Specialization

Citations

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

Fields of papers citing papers by Mehrad Aria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehrad Aria

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

All Works

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14 of 14 papers shown

Javanmard, Zohreh, et al.. (2025). Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis. Frontiers in Oncology. 14. 1420328–1420328. 3 indexed citations

Aria, Mehrad, et al.. (2024). Non-invasive fractional flow reserve estimation using deep learning on intermediate left anterior descending coronary artery lesion angiography images. Scientific Reports. 14(1). 1818–1818. 8 indexed citations

Khayamzadeh, Maryam, et al.. (2024). Application of machine learning in breast cancer survival prediction using a multimethod approach. Scientific Reports. 14(1). 30147–30147. 5 indexed citations

Aria, Mehrad, et al.. (2023). Investigating the Properties and Cytotoxicity of Cisplatin-Loaded Nano-Polybutylcyanoacrylate on Breast Cancer Cells. SHILAP Revista de lepidopterología. 8(4). 345–350. 27 indexed citations

Looha, Mehdi Azizmohammad, et al.. (2023). Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models. Frontiers in Oncology. 13. 1147604–1147604. 12 indexed citations

Rabiei, Reza, et al.. (2023). Artificial intelligence in estimating fractional flow reserve: a systematic literature review of techniques. BMC Cardiovascular Disorders. 23(1). 407–407. 12 indexed citations

Aria, Mehrad, Mahdi Hashemzadeh, & Nacer Farajzadeh. (2022). QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method. Neurocomputing. 511. 213–236. 31 indexed citations

Bayani, Azadeh, Azamossadat Hosseini, Farkhondeh Asadi, et al.. (2022). Identifying predictors of varices grading in patients with cirrhosis using ensemble learning. Clinical Chemistry and Laboratory Medicine (CCLM). 60(12). 1938–1945. 18 indexed citations

Bayani, Azadeh, Farkhondeh Asadi, Azamossadat Hosseini, et al.. (2022). Performance of machine learning techniques on prediction of esophageal varices grades among patients with cirrhosis. Clinical Chemistry and Laboratory Medicine (CCLM). 60(12). 1955–1962. 12 indexed citations

10.

Aria, Mehrad, et al.. (2022). ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings. Computational Intelligence and Neuroscience. 2022. 1–17. 19 indexed citations

11.

Ghaderzadeh, Mustafa, Farkhondeh Asadi, Ramezan Jafari, et al.. (2021). Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study. Journal of Medical Internet Research. 23(4). e27468–e27468. 73 indexed citations

12.

Ghaderzadeh, Mustafa, Mehrad Aria, & Farkhondeh Asadi. (2021). X‐Ray Equipped with Artificial Intelligence: Changing the COVID‐19 Diagnostic Paradigm during the Pandemic. BioMed Research International. 2021(1). 9942873–9942873. 30 indexed citations

13.

Ghaderzadeh, Mustafa, Mehrad Aria, Azamossadat Hosseini, et al.. (2021). A fast and efficient CNN model for B‐ALL diagnosis and its subtypes classification using peripheral blood smear images. International Journal of Intelligent Systems. 37(8). 5113–5133. 94 indexed citations

14.

Ghaderzadeh, Mustafa & Mehrad Aria. (2021). Management of Covid-19 Detection Using Artificial Intelligence in 2020 Pandemic. 32–38. 23 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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