Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods
Seyed Mehdi Alizadeh, Zahra Parhizi, Ali Hosin Alibak, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 51, pp. 21782-21793
Closed Access | Times Cited: 22

Showing 22 citing articles:

Renewable energy-to-green hydrogen: A review of main resources routes, processes and evaluation
Qusay Hassan, Ammar M. Abdulateef, Saadoon Abdul Hafedh, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 46, pp. 17383-17408
Closed Access | Times Cited: 260
Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production
Hung Vo Thanh, Zhenxue Dai, Zhengyang Du, et al.
International Journal of Hydrogen Energy (2024) Vol. 57, pp. 1000-1009
Closed Access | Times Cited: 25
Application of machine learning in adsorption energy storage using metal organic frameworks: A review
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115363-115363
Closed Access | Times Cited: 1
Prediction of hydrogen uptake of metal organic frameworks using explainable machine learning
Sitaram Meduri, Jalaiah Nandanavanam
Energy and AI (2023) Vol. 12, pp. 100230-100230
Open Access | Times Cited: 21
Machine learning-based deoxidizer screening for intensified hydrogen production from steam splitting
Z Wen, Nanjuan Duan, Rongjun Zhang, et al.
Journal of Cleaner Production (2024) Vol. 449, pp. 141779-141779
Closed Access | Times Cited: 6
AI-driven development of high-performance solid-state hydrogen storage
Guoqing Wang, Zongmin Luo, Halefom G. Desta, et al.
Energy Reviews (2024) Vol. 4, Iss. 1, pp. 100106-100106
Open Access | Times Cited: 6
Machine learning-aided modeling of the hydrogen storage in zeolite-based porous media
Tao Hai, Farhan A. Alenizi, Adil Hussein Mohammed, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 145, pp. 106848-106848
Closed Access | Times Cited: 14
Simultaneous prediction of CO2, CO, and NOx emissions of biodiesel-hydrogen blend combustion in compression ignition engines by supervised machine learning tools
Zhang LiWu, Zhu Guang-hui, Yanpu Chao, et al.
Energy (2023) Vol. 282, pp. 128972-128972
Closed Access | Times Cited: 14
A review of green hydrogen production by renewable resources
Qusay Hassan, Sameer Algburi, Aws Zuhair Sameen, et al.
Energy Harvesting and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Optimizing Sustainable Power Generation with Triplet Deep Borehole Heat Exchangers: A Machine Learning Approach
A. A. Magaji, Bin Dou, AL-Wesabi Ibrahim, et al.
Research Square (Research Square) (2025)
Closed Access
AI-empowered digital design of zeolites: Progress, challenges, and perspectives
Mengfan Wu, Shiyi Zhang, Jie Ren
APL Materials (2025) Vol. 13, Iss. 2
Open Access
Uncertainty-aware optimization of zeolite particle size: Utilizing quantile regression and SHAP analysis
Song He, Wenli Du, Xin Peng
Chemical Engineering Journal (2025), pp. 162085-162085
Closed Access
Applying the wavelet neural network to estimate hydrogen dissolution in underground sodium chloride solutions
Yinuo Zhu, Hongda Wang, Keya Vano
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 54, pp. 22720-22730
Closed Access | Times Cited: 17
Experimental and modeling analyzing the biogas upgrading in the microchannel: Carbon dioxide capture by seawater enriched with low-cost waste materials
Babak Aghel, Ashkan Gouran, Sara Behaien, et al.
Environmental Technology & Innovation (2022) Vol. 27, pp. 102770-102770
Open Access | Times Cited: 16
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
Modeling and estimation of water activity for the ionic-liquid-based aqueous ternary systems by smart paradigms
Ehsan Davoudi, Abolhasan Ameri
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 157, pp. 105396-105396
Closed Access | Times Cited: 3
A systematic approach based on artificial intelligence techniques for simulating the ammonia removal by eighteen deep eutectic solvents
Moxi Wang, Li Feng
Separation and Purification Technology (2023) Vol. 312, pp. 123292-123292
Closed Access | Times Cited: 6
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
Analysis for the Implementation of Surplus Hydropower for Green Hydrogen Production in Ecuador
Paul Pinchao, Alejandra Torres, María Yáñez, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 6051-6051
Open Access
Machine Learning-Assisted Optimization of Drug Combinations in Zeolite-Based Delivery Systems for Melanoma Therapy
Ana Raquel Bertão, Filipe Teixeira, Viktoriya Ivasiv, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 5, pp. 5696-5707
Open Access
Investigation of hydrogen uptake capacity for FAU, MOR, MTW, MWW
Sema Akyalçın, Levent Akyalçın
International Journal of Hydrogen Energy (2024) Vol. 80, pp. 771-778
Closed Access
Hydrogen Materials and Technologies in the Aspect of Utilization in the Polish Energy Sector
Krystyna Giza, E. Owczarek, J. Piotrowska-Woroniak, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 10024-10024
Open Access
Page 1

Scroll to top