Ali Akbari

786 total citations
41 papers, 408 citations indexed

About

Ali Akbari is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Ali Akbari has authored 41 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 7 papers in Artificial Intelligence. Recurrent topics in Ali Akbari's work include Face recognition and analysis (9 papers), Sparse and Compressive Sensing Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). Ali Akbari is often cited by papers focused on Face recognition and analysis (9 papers), Sparse and Compressive Sensing Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). Ali Akbari collaborates with scholars based in United Kingdom, France and Iran. Ali Akbari's co-authors include Josef Kittler, Maria Trocan, Muhammad Awais, Manijeh Bashar, Bertrand Granado, Pei Xiao, Yousef Kazemzadeh, Mérouane Debbah, Alister G. Burr and Kanapathippillai Cumanan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Ali Akbari

39 papers receiving 396 citations

Peers

Ali Akbari
Meng Zhao China
Chengyi Xiong China
Hasan F. Ateş Türkiye
Bo Xie China
Rong Fu China
Jingyu Cong China
Shoufa Chen China
Meng Zhao China
Ali Akbari
Citations per year, relative to Ali Akbari Ali Akbari (= 1×) peers Meng Zhao

Countries citing papers authored by Ali Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Ali Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Akbari

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

All Works

20 of 20 papers shown
1.
Akbari, Ali, et al.. (2025). Applications of nanoparticle in enhanced oil recovery: A comprehensive review, history, and future prospects. The Canadian Journal of Chemical Engineering. 104(1). 138–168.
2.
Akbari, Ali, et al.. (2025). Machine learning models for the prediction of hydrogen solubility in aqueous systems. Scientific Reports. 15(1). 31487–31487. 2 indexed citations
3.
Akbari, Ali, et al.. (2025). Calculation of hydrogen dispersion in cushion gases using machine learning. Scientific Reports. 15(1). 13718–13718. 8 indexed citations
4.
Akbari, Ali, et al.. (2025). Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods. Journal of Petroleum Exploration and Production Technology. 15(2). 13 indexed citations
5.
Akbari, Ali, et al.. (2025). Enhancing hydraulic fracturing efficiency through machine learning. Journal of Petroleum Exploration and Production Technology. 15(1). 9 indexed citations
6.
Akbari, Ali, et al.. (2025). Machine learning-based prediction and SHAP sensitivity analysis of sound speed in hydrogen-rich gas mixtures. Scientific Reports. 15(1). 40772–40772.
7.
Akbari, Ali, et al.. (2025). Machine learning analysis of CO2 and methane adsorption in tight reservoir rocks. Scientific Reports. 15(1). 24575–24575. 1 indexed citations
8.
Akbari, Ali, et al.. (2024). Investigation of wettability and IFT alteration during hydrogen storage using machine learning. Heliyon. 10(19). e38679–e38679. 27 indexed citations
9.
Awais, Muhammad, et al.. (2024). Pure anomaly detection via self-supervised deep metric learning with adaptive margin. Neurocomputing. 611. 128659–128659. 1 indexed citations
10.
Akbari, Ali, Muhammad Awais, Manijeh Bashar, & Josef Kittler. (2021). How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation. International Conference on Machine Learning. 141–151. 11 indexed citations
11.
Akbari, Ali, et al.. (2021). A Novel Ground Metric for Optimal Transport-Based Chronological Age Estimation. IEEE Transactions on Cybernetics. 52(10). 9986–9999. 13 indexed citations
12.
Akbari, Ali, et al.. (2021). A New High-Speed, Low-Area Residue-to-Binary Converter For the Moduli Set $$\{ 2^{4n} ,2^{2n} + 1,2^{n} + 1,2^{n} - 1\}$$ Based on CRT-1. Circuits Systems and Signal Processing. 40(11). 5773–5786. 1 indexed citations
13.
Awais, Muhammad, et al.. (2020). A Stacking Ensemble for Anomaly Based Client-Specific Face Spoofing Detection. View. 1371–1375. 11 indexed citations
14.
Akbari, Ali, Muhammad Awais, & Josef Kittler. (2020). Sensitivity of Age Estimation Systems to Demographic Factors and Image Quality: Achievements and Challenges. View. 1–8. 7 indexed citations
15.
Akbari, Ali, et al.. (2020). Social Groups Detection in Crowd by Using Automatic Fuzzy Clustering with PSO. 3(27). 215. 1 indexed citations
16.
Farooq, Ammarah, Muhammad Awais, Josef Kittler, Ali Akbari, & Syed Safwan Khalid. (2020). Cross Modal Person Re-identification with Visual-Textual Queries. 1–8. 6 indexed citations
17.
Akbari, Ali, Maria Trocan, Saeid Sanei, & Bertrand Granado. (2019). Joint Sparse Learning With Nonlocal and Local Image Priors for Image Error Concealment. IEEE Transactions on Circuits and Systems for Video Technology. 30(8). 2559–2574. 17 indexed citations
18.
Akbari, Ali & Maria Trocan. (2018). Robust Image Reconstruction for Block-Based Compressed Sensing Using a Binary Measurement Matrix. 1832–1836. 8 indexed citations
19.
Akbari, Ali, Maria Trocan, & Bertrand Granado. (2017). Image error concealment based on joint sparse representation and non-local similarity. 50. 6–10. 5 indexed citations
20.
Akbari, Ali, et al.. (2013). The Analysis of Social Ecology and Physical Development Process of Cities (Towns) Case Study: Alvand City. Research Journal of Applied Sciences Engineering and Technology. 6(19). 3588–3596. 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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