Farid Amirkhani

479 total citations
18 papers, 391 citations indexed

About

Farid Amirkhani is a scholar working on Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Farid Amirkhani has authored 18 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 7 papers in Biomedical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Farid Amirkhani's work include Carbon Dioxide Capture Technologies (6 papers), Phase Equilibria and Thermodynamics (6 papers) and Membrane Separation and Gas Transport (4 papers). Farid Amirkhani is often cited by papers focused on Carbon Dioxide Capture Technologies (6 papers), Phase Equilibria and Thermodynamics (6 papers) and Membrane Separation and Gas Transport (4 papers). Farid Amirkhani collaborates with scholars based in Iran, United States and South Africa. Farid Amirkhani's co-authors include Morteza Asghari, Amir Dashti, Hossein Riasat Harami, Amir H. Mohammadi, Mohammad Javad Parnian, Mojtaba Jokar, Hossein Abedsoltan, Mashallah Rezakazemi, Kwok‐wing Chau and John L. Zhou and has published in prestigious journals such as Journal of Cleaner Production, Chemosphere and Energy.

In The Last Decade

Farid Amirkhani

17 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farid Amirkhani Iran 13 234 132 99 94 69 18 391
Libin Liu China 9 329 1.4× 122 0.9× 184 1.9× 80 0.9× 96 1.4× 18 625
G. Pantoleontos Greece 9 185 0.8× 165 1.3× 86 0.9× 97 1.0× 43 0.6× 20 477
G.M. Cabello González Spain 12 92 0.4× 87 0.7× 123 1.2× 73 0.8× 45 0.7× 32 383
Hossein Riasat Harami Iran 15 325 1.4× 170 1.3× 205 2.1× 286 3.0× 87 1.3× 18 644
Songtao Huang China 14 172 0.7× 104 0.8× 124 1.3× 80 0.9× 44 0.6× 54 452
Guopeng Zhu China 13 394 1.7× 355 2.7× 91 0.9× 47 0.5× 67 1.0× 38 719
Türker Gürkan Türkiye 11 247 1.1× 77 0.6× 145 1.5× 168 1.8× 37 0.5× 25 456
Faizan Ahmad United Kingdom 15 519 2.2× 71 0.5× 165 1.7× 192 2.0× 44 0.6× 36 710
Asit Kumar Das India 16 185 0.8× 117 0.9× 190 1.9× 22 0.2× 35 0.5× 37 521
Peikun Zhang China 12 234 1.0× 87 0.7× 96 1.0× 28 0.3× 22 0.3× 33 407

Countries citing papers authored by Farid Amirkhani

Since Specialization
Citations

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

Fields of papers citing papers by Farid Amirkhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farid Amirkhani

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

All Works

18 of 18 papers shown
1.
Dashti, Amir, Farid Amirkhani, Mojtaba Raji, et al.. (2026). Review and development of an explicit machine learning model for pollutant gas solubility in ionic liquids as green solvents. Separation and Purification Technology. 393. 137282–137282.
2.
Hosseinzadeh, Ahmad, et al.. (2025). Machine learning modeling of microplastics removal by coagulation in water and wastewater treatment. Journal of Water Process Engineering. 76. 108108–108108. 1 indexed citations
3.
Amirkhani, Farid, Amir Dashti, Hossein Abedsoltan, et al.. (2024). Modeling and estimation of CO2 capture by porous liquids through machine learning. Separation and Purification Technology. 359. 130445–130445. 5 indexed citations
4.
Dashti, Amir, Amir Hossein Navidpour, Farid Amirkhani, John L. Zhou, & Ali Altaee. (2024). Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts. Chemosphere. 362. 142792–142792. 25 indexed citations
5.
Amirkhani, Farid, Amir Dashti, Mojtaba Jokar, et al.. (2023). Estimation of CO2 solubility in aqueous solutions of commonly used blended amines: Application to optimised greenhouse gas capture. Journal of Cleaner Production. 430. 139435–139435. 7 indexed citations
6.
Amirkhani, Farid, Amir Dashti, Hossein Abedsoltan, & Amir H. Mohammadi. (2023). Estimation of CO2Absorption by a Hybrid Aqueous Solution of Amino Acid Salt with Amine. Chemical Engineering & Technology. 47(2). 253–261. 4 indexed citations
7.
Amirkhani, Farid, Amir Dashti, Hossein Abedsoltan, et al.. (2022). Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques. Fuel. 323. 124292–124292. 13 indexed citations
8.
Dashti, Amir, et al.. (2021). Evaluation of CO2 Absorption by Amino Acid Salt Aqueous Solution Using Hybrid Soft Computing Methods. ACS Omega. 6(19). 12459–12469. 12 indexed citations
9.
Harami, Hossein Riasat, Farid Amirkhani, Hossein Abedsoltan, et al.. (2021). Mixed Matrix Membranes for Sustainable Electrical Energy‐Saving Applications. ChemBioEng Reviews. 8(1). 27–43. 14 indexed citations
10.
Amirkhani, Farid, Amir Dashti, Hossein Abedsoltan, Amir H. Mohammadi, & Kwok‐wing Chau. (2021). Towards estimating absorption of major air pollutant gasses in ionic liquids using soft computing methods. Journal of the Taiwan Institute of Chemical Engineers. 127. 109–118. 23 indexed citations
11.
Amirkhani, Farid, Hossein Riasat Harami, & Morteza Asghari. (2020). CO2/CH4 mixed gas separation using poly(ether-b-amide)-ZnO nanocomposite membranes: Experimental and molecular dynamics study. Polymer Testing. 86. 106464–106464. 59 indexed citations
12.
Dashti, Amir, et al.. (2020). Estimation of CO2 adsorption in high capacity metal−organic frameworks: Applications to greenhouse gas control. Journal of CO2 Utilization. 41. 101256–101256. 39 indexed citations
13.
Amirkhani, Farid, et al.. (2020). Effect of Nafion and APTEOS functionalization on mixed gas separation of PEBA-FAU membranes: Experimental study and MD and GCMC simulations. Separation and Purification Technology. 247. 116981–116981. 33 indexed citations
14.
Dashti, Amir, Omid Mazaheri, Farid Amirkhani, & Amir H. Mohammadi. (2020). Molecular descriptors-based models for estimating net heat of combustion of chemical compounds. Energy. 217. 119292–119292. 13 indexed citations
15.
Dashti, Amir, Farid Amirkhani, Mojtaba Jokar, Amir H. Mohammadi, & Kwok‐wing Chau. (2020). Insights into the estimation of heavy metals ions sorption from aqueous environment onto natural zeolite. International Journal of Environmental Science and Technology. 18(7). 1773–1784. 18 indexed citations
16.
Dashti, Amir, Mojtaba Jokar, Farid Amirkhani, & Amir H. Mohammadi. (2019). Quantitative structure property relationship schemes for estimation of autoignition temperatures of organic compounds. Journal of Molecular Liquids. 300. 111797–111797. 22 indexed citations
17.
Amirkhani, Farid, et al.. (2019). The beneficial impacts of functional groups of CNT on structure and gas separation properties of PEBA mixed matrix membranes. Polymer Testing. 82. 106285–106285. 62 indexed citations
18.
Harami, Hossein Riasat, et al.. (2019). Mass transfer through PDMS/zeolite 4A MMMs for hydrogen separation: Molecular dynamics and grand canonical Monte Carlo simulations. International Communications in Heat and Mass Transfer. 108. 104259–104259. 41 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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