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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:

Machine learning to assess CO2 adsorption by biomass waste
Mahmoud R. Maheri, Carlos Bazán, Sohrab Zendehboudi, et al.
Journal of CO2 Utilization (2023) Vol. 76, pp. 102590-102590
Open Access | Times Cited: 18

Showing 18 citing articles:

A review on development and modification strategies of MOFs Z-scheme heterojunction for photocatalytic wastewater treatment, water splitting, and DFT calculations
Narges Elmi Fard, Nisreen S. Ali, Noori M. Cata Saady, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e32861-e32861
Open Access | Times Cited: 32
Carbon adsorption on waste biomass of passion fruit peel: A promising machine learning model for CO2 capture
Christiano Bruneli Peres, Leandro Cardoso de Morais, Pedro R. Resende
Journal of CO2 Utilization (2024) Vol. 80, pp. 102680-102680
Open Access | Times Cited: 13
Predicting hydrogen production from formic acid dehydrogenation using smart connectionist models
Simin Tazikeh, Abdollah Davoudi, Sohrab Zendehboudi, et al.
International Journal of Hydrogen Energy (2025) Vol. 109, pp. 574-590
Open Access | Times Cited: 1
Preparation of N, S co-doped carbon nanotubes composites by coal pyrolysis for the CO2 capture
Ying Wang, Chuanfang Zhang, Mengfei Tang, et al.
Journal of environmental chemical engineering (2024), pp. 114452-114452
Closed Access | Times Cited: 5
Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review
Banza Jean Claude, Linda L. Sibali
Journal of Environmental Science and Health Part A (2025), pp. 1-16
Open Access
Physical-based hydrogen storage
Sohrab Zendehboudi, Bahram Ghorbani
Elsevier eBooks (2025), pp. 163-253
Closed Access
Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends
Farag M. A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, et al.
Journal of CO2 Utilization (2025) Vol. 93, pp. 103052-103052
Open Access
Research on the Production and Characteristics of Carbon Materials with High CO2 Adsorption Performance: Based on Machine Learning and Dung Beetle Optimizer Methods
Qianqian Yin, M. Wang, Xiaoxun Zhu, et al.
Carbon (2025), pp. 120323-120323
Closed Access
Prediction of product properties and identification of key influencing parameters in microwave pyrolysis of microalgae using machine learning
Cheng Hou, Xinnan Zheng, Yuanbo Song, et al.
Algal Research (2024) Vol. 82, pp. 103662-103662
Closed Access | Times Cited: 4
Development of machine learning model for the prediction of selectivity to light olefins from catalytic cracking of hydrocarbons
Iradat Hussain Mafat, Sumeet K. Sharma, Dadi Venkata Surya, et al.
Fuel (2024) Vol. 381, pp. 133682-133682
Closed Access | Times Cited: 4
Deterministic Models for Performance Analysis of Lignocellulosic Biomass Torrefaction
Abbas Azarpour, Sohrab Zendehboudi, Noori M. Cata Saady
ACS Omega (2025) Vol. 10, Iss. 7, pp. 6470-6501
Open Access
Machine learning modeling reveals interactions between biochemical components during hydrothermal liquefaction of biomass
Jiaxin Gao, Weijin Zhang, Nguyen Van Dai, et al.
Fuel (2025) Vol. 394, pp. 135144-135144
Closed Access
Efficient in-situ conversion of low-concentration carbon dioxide in coal-fired flue gas using silver nanoparticles in amino-functionalism poly-ionic liquids
Ying Liang, Qiang Xia, Jinying Yang, et al.
Chemical Engineering Journal (2024) Vol. 498, pp. 155305-155305
Closed Access | Times Cited: 3
A six-membered N-heterocyclic polyionic liquids with palladium nanoparticles as a heterogeneous catalyst for the multicomponent one-pot reaction of carbon dioxide
Ying Liang, Qing Wang, Xiaoxiao Shen, et al.
Journal of Colloid and Interface Science (2024) Vol. 678, pp. 754-765
Closed Access | Times Cited: 3
Prediction of CO2 uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence
Mohd Azfar Shaida, Saad Shamim Ansari, Raeesh Muhammad, et al.
Fuel (2024) Vol. 380, pp. 133183-133183
Open Access | Times Cited: 2
H2S and SO2 toxic gases removal using date palm-tree branches based activated carbon: experimental findings and machine learning (ML) modeling
Usman M. Ismail, Minaam Hussaini, Muhammad S. Vohra
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2
A 4IR-Driven Operational Risk Model for CO2 Storage in Deepwater Abandoned Hydrocarbon Reservoirs
Md Shaheen Shah, Faisal Khan, Sohrab Zendehboudi, et al.
Geoenergy Science and Engineering (2024), pp. 213425-213425
Closed Access
Carbon Adsorption on Waste Biomass of Passion Fruit Peel: A Promising Machine Learning Model for Co2 Capture
Christiano Bruneli Peres, Leandro Cardoso de Morais, Pedro R. Resende
(2023)
Closed Access
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