Roohallah Alizadehsani

9.1k total citations · 6 hit papers
169 papers, 5.5k citations indexed

About

Roohallah Alizadehsani is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Roohallah Alizadehsani has authored 169 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 38 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Health Information Management. Recurrent topics in Roohallah Alizadehsani's work include Artificial Intelligence in Healthcare (30 papers), COVID-19 diagnosis using AI (16 papers) and Machine Learning in Healthcare (15 papers). Roohallah Alizadehsani is often cited by papers focused on Artificial Intelligence in Healthcare (30 papers), COVID-19 diagnosis using AI (16 papers) and Machine Learning in Healthcare (15 papers). Roohallah Alizadehsani collaborates with scholars based in Australia, Iran and United States. Roohallah Alizadehsani's co-authors include Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Afshin Shoeibi, Mohamad Roshanzamir, Fahime Khozeimeh, Sadiq Hussain, Zahra Alizadeh Sani, Parisa Moridian and Assef Zare and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Roohallah Alizadehsani

156 papers receiving 5.3k citations

Hit Papers

5 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.

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

2017 335 citations Roohallah Alizadehsani, Mohamad Roshanzamir et al. profile →
Epileptic Seizures Detection Using Deep Learning Techniques: A Review

2021 263 citations Afshin Shoeibi, Navid Ghassemi et al. profile →
Application of artificial intelligence in wearable devices: Opportunities and challenges

2021 223 citations Roohallah Alizadehsani, Abbas Khosravi et al. profile →
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

2020 188 citations Afshin Shoeibi, Delaram Sadeghi et al. profile →
A review of Explainable Artificial Intelligence in healthcare

2024 136 citations Zahra Sadeghi, Roohallah Alizadehsani et al. Computers & Electrical Engineering profile →
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework

2024 77 citations Roohallah Alizadehsani, U. Rajendra Acharya et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roohallah Alizadehsani Australia	42	1.9k	1.2k	1.1k	1.1k	850	169	5.5k
Paweł Pławiak Poland	31	1.2k 0.6×	494 0.4×	582 0.5×	975 0.9×	1.2k 1.4×	128	4.1k
Kemal Polat Türkiye	46	2.9k 1.5×	1.1k 0.9×	805 0.8×	1.3k 1.2×	886 1.0×	239	7.9k
Abdulkadir Şengür Türkiye	52	2.6k 1.4×	603 0.5×	1.6k 1.5×	1.0k 1.0×	607 0.7×	229	8.7k
Begonya García-Zapirain Spain	41	1.9k 1.0×	289 0.2×	1.0k 0.9×	1.2k 1.1×	343 0.4×	250	6.7k
Nicos Maglaveras Greece	30	875 0.5×	861 0.7×	425 0.4×	594 0.6×	1.3k 1.5×	308	5.3k
Mufti Mahmud United Kingdom	38	1.8k 1.0×	375 0.3×	671 0.6×	993 0.9×	172 0.2×	222	5.6k
Md. Milon Islam Bangladesh	34	1.8k 0.9×	592 0.5×	1.3k 1.3×	462 0.4×	145 0.2×	58	4.5k
Salih Güneş Türkiye	28	1.5k 0.8×	914 0.8×	218 0.2×	895 0.8×	404 0.5×	65	3.5k
Prabal Datta Barua Australia	33	1.1k 0.6×	267 0.2×	723 0.7×	1.1k 1.0×	503 0.6×	167	3.9k
Riccardo Miotto United States	18	2.2k 1.1×	1.0k 0.9×	839 0.8×	214 0.2×	673 0.8×	48	4.7k

Countries citing papers authored by Roohallah Alizadehsani

Since Specialization

Citations

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

Fields of papers citing papers by Roohallah Alizadehsani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roohallah Alizadehsani

This figure shows the co-authorship network connecting the top 25 collaborators of Roohallah Alizadehsani. A scholar is included among the top collaborators of Roohallah Alizadehsani 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 Roohallah Alizadehsani. Roohallah Alizadehsani 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

Zhang, Yixin, et al.. (2025). An off-policy deep reinforcement learning-based active learning for crime scene investigation image classification. Information Sciences. 710. 122074–122074. 2 indexed citations

Yang, Jing, et al.. (2025). A dual-method approach using autoencoders and transductive learning for remaining useful life estimation. Engineering Applications of Artificial Intelligence. 147. 110285–110285.

Alizadehsani, Roohallah, et al.. (2025). Free vibration characteristics of trapezoidal nanoplate rested on viscoelastic substrate with arbitrary boundary conditions using differential quadrature method. PLoS ONE. 20(3). e0316210–e0316210. 1 indexed citations

Shalbaf, Ahmad, Roohallah Alizadehsani, Ru‐San Tan, et al.. (2025). Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023). Archives of Computational Methods in Engineering. 32(7). 4093–4124.

Niakan, Amin, et al.. (2025). Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury. Scientific Reports. 15(1). 5913–5913. 1 indexed citations

Sharifrazi, Danial, et al.. (2024). Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomedical Signal Processing and Control. 96. 106594–106594. 3 indexed citations

Qazani, Mohammad Reza Chalak, et al.. (2024). Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis. IEEE Access. 12. 87110–87130. 20 indexed citations

Damaševičius, Robertas, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.. (2024). Deep learning for personalized health monitoring and prediction: A review. Computational Intelligence. 40(3). 11 indexed citations

Alizadehsani, Roohallah, et al.. (2024). Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. Information Fusion. 108. 102412–102412. 77 indexed citations breakdown →

10.

Sadeghi, Zahra, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.. (2024). A review of Explainable Artificial Intelligence in healthcare. Computers & Electrical Engineering. 118. 109370–109370. 136 indexed citations breakdown →

11.

Kabir, H M Dipu, Subrota Kumar Mondal, Abbas Khosravi, et al.. (2023). Uncertainty aware neural network from similarity and sensitivity. Applied Soft Computing. 149. 111027–111027. 5 indexed citations

12.

Hong, Lu, Seyed Vahid Moravvej, Ivan Bakhshayeshi, et al.. (2023). GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM. CAAI Transactions on Intelligence Technology. 31 indexed citations

13.

Yang, Jing, et al.. (2023). Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights. Expert Systems with Applications. 238. 122088–122088. 6 indexed citations

14.

Roshanzamir, Mohamad, Abdolreza Mirzaei, Afshin Shoeibi, et al.. (2022). Automatic facial expression recognition in an image sequence using conditional random field. 20. 271–278. 1 indexed citations

15.

Khozeimeh, Fahime, Mohamad Roshanzamir, Afshin Shoeibi, et al.. (2022). Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges. 245–250. 2 indexed citations

16.

Moravvej, Seyed Vahid, Roohallah Alizadehsani, Afshin Shoeibi, et al.. (2022). RLMD‐PA: A Reinforcement Learning‐Based Myocarditis Diagnosis Combined with a Population‐Based Algorithm for Pretraining Weights. Contrast Media & Molecular Imaging. 2022(1). 8733632–8733632. 55 indexed citations

17.

Roshanzamir, Mohamad, et al.. (2021). Detection of effective genes in colon cancer: A machine learning approach. Informatics in Medicine Unlocked. 24. 100605–100605. 21 indexed citations

18.

Shoeibi, Afshin, Delaram Sadeghi, Parisa Moridian, et al.. (2021). Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers in Neuroinformatics. 15. 777977–777977. 113 indexed citations

19.

Zare, Assef, Afshin Shoeibi, Mahboobeh Jafari, et al.. (2020). Robust Adaptive Synchronization of a Class of Uncertain Chaotic Systems with Unknown Time-Delay. Applied Sciences. 10(24). 8875–8875. 10 indexed citations

20.

Alizadehsani, Roohallah, Jafar Habibi, Mohammad Javad Hosseini, et al.. (2012). Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features. Own your potential (DEAKIN). 82(4). 542–553. 42 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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