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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:

A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids
Jafar Abdi, Masoud Hadipoor, Seyyed Hamid Esmaeili-Faraj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18

Showing 18 citing articles:

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Separation and Purification Technology (2023) Vol. 316, pp. 123807-123807
Closed Access | Times Cited: 45
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage
Hung Vo Thanh, Hemeng Zhang, Zhenxue Dai, et al.
International Journal of Hydrogen Energy (2023) Vol. 55, pp. 1422-1433
Closed Access | Times Cited: 41
Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review
Bilal Kazmi, Syed Ali Ammar Taqvi, Dagmar Juchelkov, et al.
Results in Engineering (2025) Vol. 25, pp. 103851-103851
Closed Access | Times Cited: 1
Natural gas sweetening using tailored ionic liquid-methanol mixed solvent with selective removal of H2S and CO2
Yang Lei, Lei Du, Xinyan Liu, et al.
Chemical Engineering Journal (2023) Vol. 476, pp. 146424-146424
Open Access | Times Cited: 22
A Review: Applications of Ionic Liquids in Medicinal Chemistry
Sangeeta Yadav, Kashish Baweja, Chandra Kumar, et al.
Chemistry Africa (2024) Vol. 7, Iss. 6, pp. 2975-2988
Closed Access | Times Cited: 6
Machine Learning-Boosted Design of Ionic Liquids for CO2 Absorption and Experimental Verification
Nahoko Kuroki, Yuki Suzuki, Daisuke Kodama, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 9, pp. 2022-2027
Open Access | Times Cited: 14
Recent Advances in H2S Removal from Gas Streams
Francisco José Alguacil
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3217-3217
Open Access | Times Cited: 12
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents
Bolam Kim, Amaranadha Reddy Manchuri, Gi-Taek Oh, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 134012-134012
Closed Access | Times Cited: 4
Electrochemical characterization of nanoporous SnO2 formed by anodization on cold spray tin coating for supercapacitor application
Mehdi Zarei, Salman Nourouzi, Roohollah Jamaati, et al.
Journal of Electroanalytical Chemistry (2023) Vol. 931, pp. 117201-117201
Closed Access | Times Cited: 10
A comprehensive thermodynamic modeling of the solubility of sugar alcohols in ionic liquids
Ali Bakhtyari, Khayyam Mehrabi, Ali Rasoolzadeh, et al.
Separation and Purification Technology (2024) Vol. 338, pp. 126308-126308
Open Access | Times Cited: 3
Modeling of capacitance for carbon-based supercapacitors using Super Learner algorithm
Jafar Abdi, Tahereh Pirhoushyaran, Fahimeh Hadavimoghaddam, et al.
Journal of Energy Storage (2023) Vol. 66, pp. 107376-107376
Closed Access | Times Cited: 7
Iron oxide-immobilized porous carbon nanofiber-based radio frequency identification (RFID) tag sensor for detecting hydrogen sulfide
Sung Gun Kim, Trieu Vu Tran, Jun Seop Lee
Journal of Industrial and Engineering Chemistry (2022) Vol. 112, pp. 423-429
Closed Access | Times Cited: 11
Estimation of the flow rate of pyrolysis gasoline, ethylene, and propylene in an industrial olefin plant using machine learning approaches
Jafar Abdi, Golshan Mazloom, Fahimeh Hadavimoghaddam, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Artificial intelligence-based framework for precise prediction of asphaltene particle aggregation kinetics in petroleum recovery
Ali Sharifzadegan, Mohammad Behnamnia, Abolfazl Dehghan Monfared
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Ultrafast Realization of Ionic Liquids with Excellent CO2 Absorption: A trinity study of machine learning, synthesis, and precision measurement
Nahoko Kuroki, Yuki Suzuki, Daisuke Kodama, et al.
(2022)
Open Access | Times Cited: 4
Biogenic Methane Accumulation and Production in the Jurassic Low-Rank Coal, Southwestern Ordos Basin
Chao Zheng, Dongmin Ma, Yue Chen, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3255-3255
Open Access | Times Cited: 3
Solubility and Thermodynamic Parameters of H2S/CH4 in Ionic Liquids Determined by 1H NMR
Jeannette Zárraga, Mariana Zapata, Darmenia Ibarra, et al.
ACS Omega (2024)
Open Access
Predicting the Hydrogen Storage Potential of Ionic Liquids Using the Data Analytics Techniques
Aliyu Adebayo Sulaimon, Luqman Adam Azman, Syed Ali Qasim Zohair, et al.
SPE Nigeria Annual International Conference and Exhibition (2023)
Closed Access | Times Cited: 1
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