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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 specific capacitance in biomass derived carbon materials: Effects of activation and biochar characteristics
Xuping Yang, Chuan Yuan, Sirong He, et al.
Fuel (2022) Vol. 331, pp. 125718-125718
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 129
Machine-learning-aided thermochemical treatment of biomass: a review
Hailong Li, Jiefeng Chen, Weijin Zhang, et al.
Biofuel Research Journal (2023) Vol. 10, Iss. 1, pp. 1786-1809
Open Access | Times Cited: 83
A comprehensive review on the intricate processes involved in algae pyrolysis mechanism and possible migration of undesirable chemical elements
Weiwei Shen, Sirong He, Mao Mu, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 177, pp. 106365-106365
Closed Access | Times Cited: 16
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 2, pp. 567-593
Closed Access | Times Cited: 16
Advancement in Supercapacitors for IoT Applications by Using Machine Learning: Current Trends and Future Technology
Qadeer Akbar Sial, Usman Safder, Shahid Iqbal, et al.
Sustainability (2024) Vol. 16, Iss. 4, pp. 1516-1516
Open Access | Times Cited: 13
Machine Learning‐Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Capacitive Deionization
Hao Wang, Mingxi Jiang, Guangsheng Xu, et al.
Small (2024)
Closed Access | Times Cited: 13
Biochar as adsorbents for environmental microplastics and nanoplastics removal
Guanya Ji, Yuchen Xing, Tianyan You
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 5, pp. 113377-113377
Closed Access | Times Cited: 12
Insight the CO2 adsorption onto biomass-pyrolysis derived char via experimental analysis coupled with DFT calculation
Ding Jiang, Hongping Li, Shuang Wang, et al.
Fuel (2022) Vol. 332, pp. 125948-125948
Closed Access | Times Cited: 52
Carbon migration of microalgae from cultivation towards biofuel production by hydrothermal technology: A review
Sirong He, Bahram Barati, Xun Hu, et al.
Fuel Processing Technology (2022) Vol. 240, pp. 107563-107563
Closed Access | Times Cited: 52
Machine learning techniques for prediction of capacitance and remaining useful life of supercapacitors: A comprehensive review
V.A. Sawant, Rashmi Deshmukh, Chetan J. Awati
Journal of Energy Chemistry (2022) Vol. 77, pp. 438-451
Closed Access | Times Cited: 49
An environment-friendly strategy to prepare oxygen-nitrogen-sulfur doped mesopore-dominant porous carbons for symmetric supercapacitors
Chenglong Liu, Renlu Yuan, Yanxin Yuan, et al.
Fuel (2023) Vol. 344, pp. 128039-128039
Closed Access | Times Cited: 26
N-doped defect-rich porous carbon nanosheets framework from renewable biomass as efficient metal-free bifunctional electrocatalysts for HER and OER application
Nagaraj Murugan, Sadhasivam Thangarasu, Sol Bin Seo, et al.
Renewable Energy (2023) Vol. 222, pp. 119801-119801
Closed Access | Times Cited: 23
A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste
Pengshuai Zhang, Tengyu Zhang, Jingxin Zhang, et al.
Carbon Neutrality (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 11
Machine learning in clarifying complex relationships: Biochar preparation procedures and capacitance characteristics
Yuxuan Sun, Peihao Sun, Jixiu Jia, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149975-149975
Closed Access | Times Cited: 9
Hydrogen production from plastic waste: A comprehensive simulation and machine learning study
Mohammad Lahafdoozian, Hossein Khoshkroudmansouri, Sharif H. Zein, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 465-479
Open Access | Times Cited: 8
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2771-2798
Closed Access | Times Cited: 8
Thermogravimetric experiments based prediction of biomass pyrolysis behavior: A comparison of typical machine learning regression models in Scikit-learn
Zhong Yu, Fahang Liu, Guozhe Huang, et al.
Marine Pollution Bulletin (2024) Vol. 202, pp. 116361-116361
Closed Access | Times Cited: 6
Study of the catalytic pyrolysis mechanism of guaiacol over seaweed-derived carbon catalyst: Based on density function theory and machine learning
Ding Jiang, Xuping Yang, Arman Amani Babadi, et al.
Fuel (2024) Vol. 369, pp. 131529-131529
Closed Access | Times Cited: 6
An Overview of Recycling Phenolic Resin
Bing Zhu, Xinyao Jiang, Songjun Li, et al.
Polymers (2024) Vol. 16, Iss. 9, pp. 1255-1255
Open Access | Times Cited: 6
LIGNOCELLULOSIC BIOMASS FOR BIOCHAR PRODUCTION: A GREEN INITIATIVE ON BIOWASTE CONVERSION FOR PHARMACEUTICAL AND OTHER EMERGING POLLUTANT REMOVAL
Vinay Kumar, Neha Sharma, Balamurugan Panneerselvam, et al.
Chemosphere (2024) Vol. 360, pp. 142312-142312
Closed Access | Times Cited: 6
Integrating computational models and machine learning for corrugated absorber plate solar collector thermal predictions
S. Madhankumar, Devi Ilangovan, Karthickeyan Viswanathan
Process Safety and Environmental Protection (2024) Vol. 188, pp. 336-349
Closed Access | Times Cited: 6
Machine learning screening of biomass precursors to prepare biomass carbon for organic wastewater purification: A review
Baoying Wang, Bo Li, Huan‐Yan Xu
Chemosphere (2024) Vol. 362, pp. 142597-142597
Closed Access | Times Cited: 6
Disentangling the non-linear relationships and interaction effects of urban digital transformation on carbon emission intensity
Wentao Wang, Shenghua Zhou, Dezhi Li, et al.
Urban Climate (2025) Vol. 59, pp. 102283-102283
Closed Access
Machine learning prediction of physical properties of lignin derived porous carbon via catalytic pyrolysis
Zihao Xie, Yue Cao, Zhicheng Luo
Green Chemistry (2025)
Open Access
Machine Learning in Computational Design and Optimization of Disordered Nanoporous Materials
Aleksey Vishnyakov
Materials (2025) Vol. 18, Iss. 3, pp. 534-534
Open Access
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