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 prediction of biochar physicochemical properties based on biomass characteristics and pyrolysis conditions
Yuanbo Song, Zipeng Huang, Mengyu Jin, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 181, pp. 106596-106596
Closed Access | Times Cited: 7

Showing 7 citing articles:

High-performance biochar materials synthesis and combined with QuEChERS: a novel analytical solution
Ruiqi Liu, Lihong V. Wang, Tao Lan, et al.
Journal of environmental chemical engineering (2025), pp. 115525-115525
Closed Access

Biomass-derived carbon-based catalysts for lignocellulosic biomass and waste valorisation: a circular approach
M. Belluati, Silvia Tabasso, Emanuela Calcio Gaudino, et al.
Green Chemistry (2024) Vol. 26, Iss. 15, pp. 8642-8668
Open Access | Times Cited: 3

Prediction of product properties and identification of key influencing parameters in microwave pyrolysis of microalgae using machine learning
Cheng Hou, Xinnan Zheng, Yuanbo Song, et al.
Algal Research (2024) Vol. 82, pp. 103662-103662
Closed Access | Times Cited: 1

Prediction of phenol yield by machine learning based on biomass characteristics, pyrolysis conditions, and catalyst properties
Panru Yang, Benhang Xie, Minghong Wang, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 119001-119001
Closed Access | Times Cited: 1

Machine learning-based prediction model for the yield of nitrogen-enriched biomass pyrolysis products: Performance evaluation and interpretability analysis
Dongmei Bi, Hui Wang, Yinjiao Liu, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 182, pp. 106723-106723
Closed Access

Optimizing biochar yield and composition prediction with ensemble machine learning models for sustainable production
Jinping Gou, Ghayas Haider Sajid, Mohanad Muayad Sabri Sabri, et al.
Ain Shams Engineering Journal (2024) Vol. 16, Iss. 1, pp. 103209-103209
Closed Access

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