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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Monitoring the effect of surface functionalization on the CO2 capture by graphene oxide/methyl diethanolamine nanofluids
Zongming Zhou, Ehsan Davoudi, Behzad Vaferi
Journal of environmental chemical engineering (2021) Vol. 9, Iss. 5, pp. 106202-106202
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Carbon dioxide separation and capture by adsorption: a review
Mohsen Karimi, Mohammad Shirzad, José A. C. Silva, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 4, pp. 2041-2084
Open Access | Times Cited: 102
Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
The European Physical Journal Plus (2023) Vol. 138, Iss. 3
Closed Access | Times Cited: 49
Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm
Yan Cao, Elham Kamrani, Saeid Mirzaei, et al.
Energy Reports (2021) Vol. 8, pp. 24-36
Open Access | Times Cited: 100
Estimating the density of deep eutectic solvents applying supervised machine learning techniques
Mohammad Javad Abdollahzadeh, Marzieh Khosravi, Behnam Hajipour Khire Masjidi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 68
Modeling of CO2 adsorption capacity by porous metal organic frameworks using advanced decision tree-based models
Jafar Abdi, Fahimeh Hadavimoghaddam, Masoud Hadipoor, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 65
Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents
Xiaolei Zhu, Marzieh Khosravi, Behzad Vaferi, et al.
Journal of Cleaner Production (2022) Vol. 363, pp. 132465-132465
Closed Access | Times Cited: 62
Simulation the adsorption capacity of polyvinyl alcohol/carboxymethyl cellulose based hydrogels towards methylene blue in aqueous solutions using cascade correlation neural network (CCNN) technique
Ali Hosin Alibak, Mohsen Khodarahmi, Pooya Fayyazsanavi, et al.
Journal of Cleaner Production (2022) Vol. 337, pp. 130509-130509
Closed Access | Times Cited: 60
Joule heating and heat generation/absorption effects on the heat transfer mechanism in ternary nanofluid containing different shape factors in stretchable converging/diverging Channel
Adnan Abbasi, Waqas Ashraf
Waves in Random and Complex Media (2023), pp. 1-18
Closed Access | Times Cited: 29
A systematic review of machine learning approaches in carbon capture applications
Farihahusnah Hussin, Siti Aqilah Nadhirah Md. Rahim, Nur Syahirah Mohamed Hatta, et al.
Journal of CO2 Utilization (2023) Vol. 71, pp. 102474-102474
Open Access | Times Cited: 26
Numerical investigation of carbon dioxide capture using nanofluids via machine learning
Li Feng, Junren Zhu, Zhenzhen Jiang
Journal of Cleaner Production (2024) Vol. 450, pp. 141916-141916
Closed Access | Times Cited: 9
Machine Learning Descriptors for CO2 Capture Materials
Ibrahim Orhan, Yuankai Zhao, Ravichandar Babarao, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 650-650
Open Access | Times Cited: 1
Intelligent modeling for considering the effect of bio-source type and appearance shape on the biomass heat capacity
Mohsen Karimi, Ali Hosin Alibak, Seyed Mehdi Alizadeh, et al.
Measurement (2021) Vol. 189, pp. 110529-110529
Closed Access | Times Cited: 48
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
Jing Wang, Mohamed Arselene Ayari, Amith Khandakar, et al.
Polymers (2022) Vol. 14, Iss. 3, pp. 527-527
Open Access | Times Cited: 37
Optimization of the numerical treatment of the Darcy–Forchheimer flow of Ree–Eyring fluid with chemical reaction by using artificial neural networks
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
International Journal for Numerical Methods in Fluids (2022) Vol. 95, Iss. 1, pp. 176-192
Closed Access | Times Cited: 36
N-methyldiethanolamine (MDEA) as an effective CO2 absorbent for direct air capture (DAC) in cement-based materials
Kirushnapillai Kopitha, Yogarajah Elakneswaran, Ryoma Kitagaki, et al.
Chemical Engineering Journal (2023) Vol. 475, pp. 146067-146067
Open Access | Times Cited: 16
Review of polyethylenimine through ring-opening polymerization reactions and its application in CO2 capture
Akram A. Al-Absi, Adetola E. Ogungbenro, Anne M. Benneker, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112739-112739
Closed Access | Times Cited: 7
Potential application of metal-organic frameworks (MOFs) for hydrogen storage: Simulation by artificial intelligent techniques
Yan Cao, Hayder A. Dhahad, Sara Ghaboulian Zare, et al.
International Journal of Hydrogen Energy (2021) Vol. 46, Iss. 73, pp. 36336-36347
Closed Access | Times Cited: 35
Recent developments in CO 2 capture, utilization, related materials, and challenges
S. Gorkem Gizer, Osman Polat, Manoj K. Ram, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 12, pp. 16241-16263
Closed Access | Times Cited: 27
A universal methodology for reliable predicting the non-steroidal anti-inflammatory drug solubility in supercritical carbon dioxide
Tahereh Rezaei, Vesal Nazarpour, Nahal Shahini, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26
Application of computational fluid dynamics for detection of high risk region in middle cerebral artery (MCA) aneurysm
Ali Rostamian, Keivan Fallah, Yasser Rostamiyan, et al.
International Journal of Modern Physics C (2022) Vol. 34, Iss. 02
Closed Access | Times Cited: 26
Combined septum and chamfer fins on threated stretching surface under the influence of nanofluid and the magnetic parameters for rotary seals in computer hardware
Paria Shadman, Zahra Parhizi, Reza Fathollahi, et al.
Alexandria Engineering Journal (2022) Vol. 62, pp. 489-507
Open Access | Times Cited: 25
Modeling of CO2 solubility in piperazine (PZ) and diethanolamine (DEA) solution via machine learning approach and response surface methodology
Zohreh Khoshraftar, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100457-100457
Open Access | Times Cited: 15
A Critical Review on CO2 Stripping/Carbon-Rich Solvent Regeneration: Process Intensification by Combined Sonication and Nanoparticles
B. Ambedkar, Mangaleswari Santhosh Kumar, Shree Vidhya Ramamoorthy, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
CO2 solubility in aqueous 1-methylpiperazine and its blend with 2-amino-2-methyl-1-propanol: New experimental data and leveraging Random Forest model for accurate prediction
Vaibhav Vamja, Vinay Vakharia, Rajib Bandyopadhyay, et al.
Fluid Phase Equilibria (2025), pp. 114405-114405
Closed Access
Enhanced CO2 absorption and reduced regeneration energy consumption using modified magnetic NPs
Fariba Zarei, Farideh Bagherzadeh Jahromi, Abbas Elhambakhsh, et al.
Energy (2023) Vol. 278, pp. 127776-127776
Closed Access | Times Cited: 11
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