Sina Ardabili

5.2k total citations · 2 hit papers
72 papers, 2.8k citations indexed

About

Sina Ardabili is a scholar working on Biomedical Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sina Ardabili has authored 72 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 19 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Sina Ardabili's work include Biodiesel Production and Applications (16 papers), Advanced Combustion Engine Technologies (12 papers) and Energy Load and Power Forecasting (8 papers). Sina Ardabili is often cited by papers focused on Biodiesel Production and Applications (16 papers), Advanced Combustion Engine Technologies (12 papers) and Energy Load and Power Forecasting (8 papers). Sina Ardabili collaborates with scholars based in Iran, Hungary and Vietnam. Sina Ardabili's co-authors include Shahaboddin Shamshirband, Amir Mosavi, Bahman Najafi, Timon Rabczuk, Kwok‐wing Chau, Annamária R. Várkonyi-Kóczy, Mohsen Salimi, Shahab S. Band, Md. Jalil Piran and Manuel Herrera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Sina Ardabili

66 papers receiving 2.7k 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.

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

2019 387 citations Amir Mosavi, Mohsen Salimi et al. Energies profile →
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

2018 292 citations Shahaboddin Shamshirband, Kwok‐wing Chau et al. Engineering Applications of Computational Fluid Mechanics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sina Ardabili Iran	28	541	518	510	378	353	72	2.8k
Abbas Rohani Iran	33	325 0.6×	417 0.8×	288 0.6×	412 1.1×	414 1.2×	150	3.1k
Imad A. Basheer United States	19	332 0.6×	356 0.7×	569 1.1×	325 0.9×	412 1.2×	53	3.5k
Chaouki Ghenaï United Arab Emirates	40	1.3k 2.5×	1.1k 2.2×	377 0.7×	494 1.3×	963 2.7×	199	5.2k
Mehdi Jahangiri Iran	33	936 1.7×	269 0.5×	508 1.0×	244 0.6×	486 1.4×	126	3.1k
Yongming Han China	40	820 1.5×	331 0.6×	999 2.0×	773 2.0×	764 2.2×	232	5.3k
Abdullah Mohamed Egypt	25	144 0.3×	474 0.9×	307 0.6×	96 0.3×	405 1.1×	172	2.3k
Olusola Bamisile China	34	1.2k 2.1×	298 0.6×	470 0.9×	178 0.5×	754 2.1×	173	3.1k
H. Christopher Frey United States	45	484 0.9×	307 0.6×	94 0.2×	1.5k 3.9×	294 0.8×	194	6.7k
Hui Chen China	27	327 0.6×	144 0.3×	297 0.6×	445 1.2×	344 1.0×	175	2.9k
Adnan Sözen Türkiye	49	1.1k 1.9×	1.8k 3.5×	873 1.7×	366 1.0×	3.6k 10.1×	185	6.4k

Countries citing papers authored by Sina Ardabili

Since Specialization

Citations

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

Fields of papers citing papers by Sina Ardabili

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Ardabili

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

Ardabili, Sina, et al.. (2025). Nanoadditives for Enzymatic Biohydrogen Production. Acta Polytechnica Hungarica. 22(3). 7–25.

Roshanianfard, Ali & Sina Ardabili. (2023). Autonomous Agricultural Vehicles. 1 indexed citations

Ardabili, Sina, et al.. (2023). Sustainable Biomethane Production from Sewage Sludge and Wheat Straw Co-Digestion in the Presence of Polypyrrole Fe₃O₄ Nanoparticles and Alkaline Pretreatment: Life Cycle Assessment Point of View. Acta Technologica Agriculturae. 26(3). 133–141. 1 indexed citations

Ardabili, Sina, Amirhosein Mosavi, & Imre Felde. (2023). Advances of Deep learning in Breast Cancer Modeling. 501–508. 2 indexed citations

Band, Shahab S., Sina Ardabili, Mehdi Sookhak, et al.. (2022). When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review. IEEE Access. 10. 60985–61015. 46 indexed citations

Moradi, Mahmoud, Mojtaba Karamimoghadam, Sina Ardabili, et al.. (2021). Modeling the Producibility of 3D Printing in Polylactic Acid Using Artificial Neural Networks and Fused Filament Fabrication. Polymers. 13(19). 3219–3219. 53 indexed citations

Mosavi, Amirhosein, Pedram Ghamisi, Puhong Duan, et al.. (2020). Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. Mathematics. 8(10). 1640–1640. 100 indexed citations

Ardabili, Sina, Amir Mosavi, Pedram Ghamisi, et al.. (2020). COVID-19 Outbreak Prediction with Machine Learning. Algorithms. 13(10). 249–249. 212 indexed citations

Ecer, Fatih, Sina Ardabili, Shahab S. Band, & Amir Mosavi. (2020). Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction. Entropy. 22(11). 1239–1239. 55 indexed citations

10.

Dineva, Adrienn, Amir Mosavi, Sina Ardabili, et al.. (2019). Review of Soft Computing Models in Design and Control of Rotating Electrical Machines. Energies. 12(6). 1049–1049. 45 indexed citations

11.

Ardabili, Sina, Bahman Najafi, & Shahaboddin Shamshirband. (2019). Fuzzy logic method for the prediction of cetane number using carbon number, double bounds, iodic, and saponification values of biodiesel fuels. Environmental Progress & Sustainable Energy. 38(2). 584–599. 29 indexed citations

12.

Mosavi, Amir, Mohsen Salimi, Sina Ardabili, et al.. (2019). State of the Art of Machine Learning Models in Energy Systems, a Systematic Review. Energies. 12(7). 1301–1301. 387 indexed citations breakdown →

13.

Mosavi, Amir, et al.. (2019). Demand Prediction with Machine Learning Models; State of the Art and a Systematic Review of Advances. Preprints.org. 7 indexed citations

14.

Najafi, Bahman, et al.. (2018). Experimental and computational fluid dynamics-based numerical simulation of using natural gas in a dual-fueled diesel engine. Engineering Applications of Computational Fluid Mechanics. 12(1). 517–534. 131 indexed citations

15.

Ardabili, Sina, Bahman Najafi, Meysam Alizamir, et al.. (2018). Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters. Energies. 11(11). 2889–2889. 49 indexed citations

16.

Najafi, Bahman, et al.. (2018). Biodegradation of medicinal plants waste in an anaerobic digestion reactor for biogas production. Cmc-computers Materials & Continua. 55(3). 318–392. 24 indexed citations

17.

Najafi, Bahman, Sina Ardabili, Amir Mosavi, Shahaboddin Shamshirband, & Timon Rabczuk. (2018). An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis. Energies. 11(4). 860–860. 77 indexed citations

18.

Ardabili, Sina, Bahman Najafi, Shahaboddin Shamshirband, et al.. (2018). Computational intelligence approach for modeling hydrogen production: a review. Engineering Applications of Computational Fluid Mechanics. 12(1). 438–458. 193 indexed citations

19.

Najafi, Bahman, Sina Ardabili, Shahaboddin Shamshirband, Kwok‐wing Chau, & Timon Rabczuk. (2018). Application of ANNs, ANFIS and RSM to estimating and optimizing the parameters that affect the yield and cost of biodiesel production. Engineering Applications of Computational Fluid Mechanics. 12(1). 611–624. 110 indexed citations

20.

Najafi, Bahman, et al.. (2017). Limiting factors for the use of palm oil biodiesel in a diesel engine in the context of the ASTM standard. Cogent Engineering. 4(1). 1411221–1411221. 33 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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