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:

Machine-learning-based prediction of hydrogen adsorption capacity at varied temperatures and pressures for MOFs adsorbents
Xuan Zhang, Qing-Rong Zheng, Hongzhou He
Journal of the Taiwan Institute of Chemical Engineers (2022) Vol. 138, pp. 104479-104479
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Machine learning accelerates the investigation of targeted MOFs: Performance prediction, rational design and intelligent synthesis
Jing Lin, Zhimeng Liu, Yujie Guo, et al.
Nano Today (2023) Vol. 49, pp. 101802-101802
Closed Access | Times Cited: 36
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: 20
Machine learning and modelling approach for removing methylene blue from aqueous solutions: Optimization, kinetics and thermodynamics studies
Sheetal Kumari, Seema Singh, Shang‐Lien Lo, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024), pp. 105361-105361
Closed Access | Times Cited: 14
Thermophysical properties prediction of carbon-based nano-enhanced phase change material's using various machine learning methods
Yuguo Gao, Ihab Shigidi, Masood Ashraf Ali, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 148, pp. 104662-104662
Closed Access | Times Cited: 29
Advancing hydrogen storage predictions in metal-organic frameworks: A comparative study of LightGBM and random forest models with data enhancement
Masoud Seyyedattar, Sohrab Zendehboudi, Ali Ghamartale, et al.
International Journal of Hydrogen Energy (2024) Vol. 69, pp. 158-172
Open Access | Times Cited: 11
Module-based machine learning models using sigma profiles of organic linkers to predict gaseous adsorption in metal-organic frameworks
Y. S. Cheng, I-Ting Sung, Chieh‐Ming Hsieh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105728-105728
Closed Access | Times Cited: 7
Machine-Learning-Assisted High-Throughput Screening of High-Performance MOFs for Multicomponent Gas Separation
Xuan Zhang
Industrial & Engineering Chemistry Research (2025)
Closed Access
Recent advances in Fe-based metal-organic frameworks: Structural features, synthetic strategies and applications
Keaoleboga Mosupi, Mike Masukume, Guo‐Ming Weng, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216467-216467
Open Access
Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article)
V E Sathishkumar, A.G. Ramu, Jaehyuk Cho
Alexandria Engineering Journal (2023) Vol. 72, pp. 673-693
Open Access | Times Cited: 17
Low-temperature heat transfer mediums for cryogenic applications
Hussam Jouhara, Amisha Chauhan, Valentin Guichet, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 148, pp. 104709-104709
Open Access | Times Cited: 13
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
Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater
Mohammad Sherjeel Javed Khan, Lariyah Mohd Sidek, Pavitra Kumar, et al.
International Journal of Biological Macromolecules (2024) Vol. 278, pp. 134701-134701
Closed Access | Times Cited: 3
High Entropy Alloys: Emerging Materials for Advanced Hydrogen Storage
Yi Jiang, Wei Jiang
Energy Technology (2024)
Open Access | Times Cited: 3
CO2 adsorption on ionic liquid–modified cupper terephthalic acid metal organic framework grown on quartz crystal microbalance electrodes
Narmin Noorani, Abbas Mehrdad, Masih Darbandi
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 145, pp. 104849-104849
Closed Access | Times Cited: 9
Synergistic effect of hydrogen spillover and nano-confined AlH3 on room temperature hydrogen storage in MOFs: By GCMC, DFT and experiments
Xuan Zhang, Qing-rong Zheng, Hongzhou He
International Journal of Hydrogen Energy (2023) Vol. 72, pp. 1224-1235
Closed Access | Times Cited: 8
Developing machine learning models for accurate prediction of radiative efficiency of greenhouse gases
Balaganesh Muthiah, Shih‐Cheng Li, Yi‐Pei Li
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 151, pp. 105123-105123
Closed Access | Times Cited: 8
Rapid and accurate identification of effective metal organic frameworks for tetrafluoromethane/nitrogen separation by machine learning
Zequn Yang, Boshi Chen, Hongxiao Zu, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 162, pp. 105556-105556
Closed Access | Times Cited: 2
Supervised machine learning-based categorization and prediction of uranium adsorption capacity on various process parameters
Niken Siwi Pamungkas, Zico Pratama Putra, Hendra Adhi Pratama, et al.
Journal of Hazardous Materials Advances (2024) Vol. 17, pp. 100523-100523
Open Access | Times Cited: 2
Mechanism-enhanced data-driven method for the joint optimization of boiler combustion and selective catalytic reduction systems considering gas temperature deviations
Yukun Zhu, Cong Yu, Wei Jin, et al.
Energy (2024) Vol. 291, pp. 130432-130432
Closed Access | Times Cited: 1
Hydrogen storage in M(BDC)(TED)0.5 metal–organic framework: physical insights and capacities
Nguyen Thi Xuan Huynh, Vũ Thị Ngân, Nguyen Thi Yen Ngoc, et al.
RSC Advances (2024) Vol. 14, Iss. 28, pp. 19891-19902
Open Access | Times Cited: 1
Adsorption equilibrium of ammonia and water on porous adsorbents at low pressure: Machine learning-based models
Ruiqing Chen, Junjie Liu, Xilei Dai
Journal of Cleaner Production (2022) Vol. 378, pp. 134351-134351
Closed Access | Times Cited: 6
Photocatalytic hydrogen production by Ni/TiO2 (0.5 wt%): Kinetic Monte Carlo simulation
Ghasem Pahlevanpour, Hadis Bashiri
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 152, pp. 105159-105159
Closed Access | Times Cited: 2
Forecast of NOx Emissions for a 660MW Coal-Fired Boiler with Multilayered Gradient Boosting Decision Tree Considering Multiple Operating Modes
Ziwei Wang, Yongzan Zhou, Yukun Zhu, et al.
ACS Omega (2024) Vol. 9, Iss. 46, pp. 45884-45897
Open Access
Evaluation of storage performance of hydrogen adsorption on typical kinds of MOFs for ship's PEMFC power units: By GCMC, numerical simulations and experiments
Mengbo Wu, Qingrong Zheng
Journal of Energy Storage (2024) Vol. 106, pp. 114889-114889
Closed Access
Bibliometric insights into metal-organic frameworks modified with metal-based materials for hydrogen storage: Prospects, opportunities and challenges
Bashir Abubakar Abdulkadir, Herma Dina Setiabudi
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105893-105893
Closed Access
Page 1 - Next Page

Scroll to top