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:

Machine learning-driven optimization of Ni-based catalysts for catalytic steam reforming of biomass tar
Nantao Wang, Hongyuan He, Yaolin Wang, et al.
Energy Conversion and Management (2023) Vol. 300, pp. 117879-117879
Open Access | Times Cited: 13

Showing 13 citing articles:

Machine learning-based optimization of catalytic hydrodeoxygenation of biomass pyrolysis oil
Xiangmeng Chen, Alireza Shafizadeh, Hossein Shahbeik, et al.
Journal of Cleaner Production (2024) Vol. 437, pp. 140738-140738
Closed Access | Times Cited: 20

Catalysis in the digital age: Unlocking the power of data with machine learning
B. Moses Abraham, M. V. Jyothirmai, Priyanka Sinha, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 11

Exploring Insights in Biomass and Waste Gasification via Ensemble Machine Learning Models and Interpretability Techniques
Ocident Bongomin, Charles Nzila, Josphat Igadwa Mwasiagi, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 8

Hydrogen Production from Biomass-Based Chemical Looping: A Critical Review and Perspectives
Yu Qiu, Dewang Zeng, Rui Xiao
Energy & Fuels (2024) Vol. 38, Iss. 15, pp. 13819-13836
Closed Access | Times Cited: 7

The removal of tar and the production of methane-rich gas from biomass hydrogen pyrolysis by using biochar-based catalysts
Miao Zhang, Bin Hu, Guifang Fan, et al.
Energy Conversion and Management (2024) Vol. 313, pp. 118596-118596
Closed Access | Times Cited: 5

Machine learning-guided optimization of nickel-based catalysts for enhanced biohydrogen production through catalytic pyrolysis of biomass
Vishal V. Persaud, Abderrachid Hamrani, Medeba Uzzi, et al.
International Journal of Hydrogen Energy (2025)
Closed Access

Developing a machine learning-based model using optimization algorithms to estimate the released synthetic gas and solid yield in the gasification process
Xiaohe Wang
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 6
Closed Access

The integration of artificial intelligence and high-throughput experiments: an innovative driving force in catalyst design
Zhi Ma, Peng Cui, Xu Wang, et al.
Chinese Journal of Chemical Engineering (2025)
Closed Access

Steam reforming of toluene as model compounds of biomass tar by Fe–K-based biochar nano-catalysts at mild temperatures
Zhihao Yu, Zizhao Guo, Lin Lang, et al.
International Journal of Hydrogen Energy (2024) Vol. 93, pp. 238-249
Closed Access | Times Cited: 3

Optimizing carrot pulp waste valorization via thermochemical conversion using carbon dioxide
Dohee Kwon, Young‐Ju Kim, Dongho Choi, et al.
Fuel (2024) Vol. 369, pp. 131799-131799
Closed Access | Times Cited: 1

Artificial intelligence and machine intelligence: modeling and optimization of bioenergy production
Leena Saju, Devi Selvaraj, Vairaperumal Tharmaraj
Elsevier eBooks (2024), pp. 163-176
Closed Access | Times Cited: 1

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