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:
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
Masoud Seyyedattar, Sohrab Zendehboudi, Ali Ghamartale, et al.
International Journal of Hydrogen Energy (2024) Vol. 69, pp. 158-172
Open Access | Times Cited: 11
Showing 11 citing articles:
Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps
Zhitao Wang, Yubin Qiu, Shiyu Zhou, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 199-199
Open Access
Zhitao Wang, Yubin Qiu, Shiyu Zhou, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 199-199
Open Access
Polyaspartic Acid–Based Porous Carbon–Loaded Nickel Metal and Its Application to Hydrogen Adsorption
M. Lu, Zhu Hui-min, Ling Liu, et al.
Applied Organometallic Chemistry (2025) Vol. 39, Iss. 2
Closed Access
M. Lu, Zhu Hui-min, Ling Liu, et al.
Applied Organometallic Chemistry (2025) Vol. 39, Iss. 2
Closed Access
New insights into hydrogen production, utilization, and storage
Sohrab Zendehboudi, Bahram Ghorbani
Elsevier eBooks (2025), pp. 417-501
Closed Access
Sohrab Zendehboudi, Bahram Ghorbani
Elsevier eBooks (2025), pp. 417-501
Closed Access
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
Simin Tazikeh, Abdollah Davoudi, Sohrab Zendehboudi, et al.
International Journal of Hydrogen Energy (2025) Vol. 109, pp. 574-590
Open Access
Assessment of hydrogen production methods for global energy transition using AI enhanced quantum recommender fuzzy modelling
Hasan Dınçer, Serhat Yüksel, Serkan Eti, et al.
International Journal of Hydrogen Energy (2024) Vol. 70, pp. 696-714
Closed Access | Times Cited: 5
Hasan Dınçer, Serhat Yüksel, Serkan Eti, et al.
International Journal of Hydrogen Energy (2024) Vol. 70, pp. 696-714
Closed Access | Times Cited: 5
Hydrogen Storage Potential of XNiH3 (X= Sr and Ba) Compounds: A Comprehensive DFT Analysis
Bilal Ahmed, Muhammad Bilal Tahir, Nida Khan, et al.
Physics Letters A (2024) Vol. 525, pp. 129899-129899
Closed Access | Times Cited: 3
Bilal Ahmed, Muhammad Bilal Tahir, Nida Khan, et al.
Physics Letters A (2024) Vol. 525, pp. 129899-129899
Closed Access | Times Cited: 3
Molecular simulations and deep neural networks‐based interpretable machine learning modelling of reverse adsorptive MOFs for ethane/ethylene separation
Khushboo Yadava, Shrey Srivastava, Ashutosh Yadav
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 1
Khushboo Yadava, Shrey Srivastava, Ashutosh Yadav
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 1
Optimising forest rehabilitation and restoration through remote sensing and machine learning: Mapping natural forests in the eThekwini Municipality
Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Lottering, Kabir Peerbhay, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101335-101335
Open Access | Times Cited: 1
Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Lottering, Kabir Peerbhay, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101335-101335
Open Access | Times Cited: 1
Machine learning approaches for the prediction of hydrogen uptake in metal-organic-frameworks: A comprehensive review
Aryan Anil Yamde, Vikesh G. Lade, Ankush B. Bindwal, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 1131-1154
Closed Access | Times Cited: 1
Aryan Anil Yamde, Vikesh G. Lade, Ankush B. Bindwal, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 1131-1154
Closed Access | Times Cited: 1
The Novel Vogel's Approximation Method Integrated with Random Forest Algorithm in the Vibration Analysis of Two-directional Functionally Graded Taper Porous Beam: Assessment
Ravikiran Chintalapudi, N. K. Geetha, Bridjesh Pappula, et al.
Scientific African (2024), pp. e02397-e02397
Open Access
Ravikiran Chintalapudi, N. K. Geetha, Bridjesh Pappula, et al.
Scientific African (2024), pp. e02397-e02397
Open Access
Machine learning prediction method for assessing water quality impacts on sandstone reservoir permeability and its application in energy development
Xiankun Song, Yuetian Liu, Zhenyu Song, et al.
International Journal of Hydrogen Energy (2024) Vol. 100, pp. 1046-1062
Closed Access
Xiankun Song, Yuetian Liu, Zhenyu Song, et al.
International Journal of Hydrogen Energy (2024) Vol. 100, pp. 1046-1062
Closed Access
Advanced EOR screening methodology based on LightGBM and random forest: A classification problem with imbalanced data
Masoud Seyyedattar, Majid Afshar, Sohrab Zendehboudi, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access
Masoud Seyyedattar, Majid Afshar, Sohrab Zendehboudi, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access
Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications
Yutong Liu, Yawen Dong, Hua Wu
Journal of Materials Chemistry A (2024)
Closed Access
Yutong Liu, Yawen Dong, Hua Wu
Journal of Materials Chemistry A (2024)
Closed Access
