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:
Active learning based reverse design of hydrogen production from biomass fuel
Xin Zheng, Guozhu Jia
Fuel (2023) Vol. 357, pp. 129948-129948
Closed Access | Times Cited: 6
Xin Zheng, Guozhu Jia
Fuel (2023) Vol. 357, pp. 129948-129948
Closed Access | Times Cited: 6
Showing 6 citing articles:
Integrating Machine Learning for Multi-objective Optimization of Biomass Conversion to Hydrogen
Y.M. Li, Peng Jiang, Lin Li, et al.
Journal of Cleaner Production (2025), pp. 144948-144948
Closed Access
Y.M. Li, Peng Jiang, Lin Li, et al.
Journal of Cleaner Production (2025), pp. 144948-144948
Closed Access
Energy and exergy-economic performance comparison of wind, solar pond, and ocean thermal energy conversion systems for green hydrogen production
Mohammad Zoghi, Nasser Hosseinzadeh, Saleh Gharaie, et al.
International Journal of Hydrogen Energy (2024)
Open Access | Times Cited: 5
Mohammad Zoghi, Nasser Hosseinzadeh, Saleh Gharaie, et al.
International Journal of Hydrogen Energy (2024)
Open Access | Times Cited: 5
Multi-objective optimization design and sensitivity analysis of proton exchange membrane electrolytic cell
Jingxian Chen, Hong Lv, Xiaojun Shen, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 140045-140045
Closed Access | Times Cited: 8
Jingxian Chen, Hong Lv, Xiaojun Shen, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 140045-140045
Closed Access | Times Cited: 8
Multi-objective optimization of a bistable curved shell with controllable thickness based on machine learning
Shiqing Huang, Chenjie Zhao, Ning Xiao-qian, et al.
Theoretical and Applied Mechanics Letters (2024) Vol. 14, Iss. 6, pp. 100532-100532
Open Access | Times Cited: 1
Shiqing Huang, Chenjie Zhao, Ning Xiao-qian, et al.
Theoretical and Applied Mechanics Letters (2024) Vol. 14, Iss. 6, pp. 100532-100532
Open Access | Times Cited: 1
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects
Marcos Barcina-Blanco, Jesús L. Lobo, Pablo G. Bringas, et al.
Neurocomputing (2024) Vol. 599, pp. 128073-128073
Open Access | Times Cited: 1
Marcos Barcina-Blanco, Jesús L. Lobo, Pablo G. Bringas, et al.
Neurocomputing (2024) Vol. 599, pp. 128073-128073
Open Access | Times Cited: 1
Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability
Chiagoziem C. Ukwuoma, Dongsheng Cai, Chibueze D. Ukwuoma, et al.
Applied Energy (2024) Vol. 378, pp. 124851-124851
Closed Access | Times Cited: 1
Chiagoziem C. Ukwuoma, Dongsheng Cai, Chibueze D. Ukwuoma, et al.
Applied Energy (2024) Vol. 378, pp. 124851-124851
Closed Access | Times Cited: 1
Evaluation of Machine Learning Models for Predicting Performance Metrics of Aero-engine Combustors
Huan Yang, Shu Guo, Haolin Xie, et al.
Case Studies in Thermal Engineering (2024), pp. 105627-105627
Open Access
Huan Yang, Shu Guo, Haolin Xie, et al.
Case Studies in Thermal Engineering (2024), pp. 105627-105627
Open Access
