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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:

Novel prosperous computational estimations for greenhouse gas adsorptive control by zeolites using machine learning methods
Mojtaba Raji, Amir Dashti, Masood S. Alivand, et al.
Journal of Environmental Management (2022) Vol. 307, pp. 114478-114478
Closed Access | Times Cited: 17

Showing 17 citing articles:

A review of waste-to-hydrogen conversion technologies for solid oxide fuel cell (SOFC) applications: Aspect of gasification process and catalyst development
Amir Hossein Alaedini, Haniyeh Kazemi Tourani, Majid Saidi
Journal of Environmental Management (2022) Vol. 329, pp. 117077-117077
Closed Access | Times Cited: 71
Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions
P. Delanoë, Dieudonné Tchuente, Guillaume Colin
Journal of Environmental Management (2023) Vol. 331, pp. 117261-117261
Closed Access | Times Cited: 53
Biochar performance evaluation for heavy metals removal from industrial wastewater based on machine learning: Application for environmental protection
Amir Dashti, Mojtaba Raji, Hossein Riasat Harami, et al.
Separation and Purification Technology (2023) Vol. 312, pp. 123399-123399
Closed Access | Times Cited: 43
Recent progress on advanced solid adsorbents for CO2 capture: From mechanism to machine learning
Mobin Safarzadeh Khosrowshahi, Amirhossein Afshari Aghajari, Mohammad Rahimi, et al.
Materials Today Sustainability (2024) Vol. 27, pp. 100900-100900
Closed Access | Times Cited: 16
Machine learning implemented exploration of the adsorption mechanism of carbon dioxide onto porous carbons
Sarvesh Namdeo, Vimal Chandra Srivastava, Paritosh Mohanty
Journal of Colloid and Interface Science (2023) Vol. 647, pp. 174-187
Closed Access | Times Cited: 22
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 9
How are artificial intelligence, carbon market, and energy sector connected? A systematic analysis of time-frequency spillovers
Yingying Xu, Xuefeng Shao, Cristina Tănăsescu
Energy Economics (2024) Vol. 132, pp. 107477-107477
Closed Access | Times Cited: 8
Road transportation emission prediction and policy formulation: Machine learning model analysis
Chengfeng Yin, Jiaxi Wu, Xialing Sun, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 135, pp. 104390-104390
Closed Access | Times Cited: 6
Exploring the effect of zeolite's structural parameters on the CO2 capture efficiency using RSM and ANN methodologies
Fatemeh Bahmanzadegan, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering (2023) Vol. 9, pp. 100595-100595
Open Access | Times Cited: 14
A critical review on machine-learning-assisted screening and design of effective sorbents for carbon dioxide (CO2) capture
Zequn Yang, Chen Bo-shi, Hongmei Chen, et al.
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 11
Waste petroleum fluid catalytic cracking catalysts as a raw material for synthesizing valuable zeolites: A critical overview on potential, applications, and challenges
Ashish Pathak, Mohan S. Rana, Meena Marafi, et al.
Sustainable materials and technologies (2023) Vol. 38, pp. e00733-e00733
Closed Access | Times Cited: 9
Based on machine learning model for prediction of CO2 adsorption of synthetic zeolite in two-step solid waste treatment
Haibin Wu, Xiaojing Wang, Xin Wang, et al.
Arabian Journal of Chemistry (2023) Vol. 17, Iss. 2, pp. 105507-105507
Open Access | Times Cited: 9
Recent advancements in biomass to bioenergy management and carbon capture through artificial intelligence integrated technologies to achieve carbon neutrality
Shivani Chauhan, Preeti Solanki, Chayanika Putatunda, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104123-104123
Closed Access | Times Cited: 3
Comprehensive Investigation of Operating Parameters for Enhanced CO2 Capture Using CaO Sorbent and Machine Learning
Lei Wang, Hongwei Li, Changhe Du, et al.
Energy & Fuels (2023) Vol. 37, Iss. 20, pp. 15907-15918
Closed Access | Times Cited: 4
Discovering zeolite adsorption isotherms: a hybrid AI modeling approach
Arijit Chakraborty, Akhilesh Gandhi, M. M. Faruque Hasan, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 511-516
Closed Access | Times Cited: 1
Abordagens de aprendizado de máquina para prever o equilíbrio de adsorção de gases leves em zeólitas, carvões ativados e redes metalorgânicas
Thaylane Bezerra
(2023)
Open Access
Long-term blended controlled-release nitrogen fertilizer with zeolite application reduced greenhouse gas emissions
Xiaohong Guo, Fangli Wang, Xia Wang, et al.
Authorea (Authorea) (2022)
Open Access
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