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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:

Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms
Muzammil Khan, Zahid Ullah, Ondřej Mašek, et al.
Bioresource Technology (2022) Vol. 355, pp. 127215-127215
Open Access | Times Cited: 84

Showing 1-25 of 84 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: 137
Review of biochar production via crop residue pyrolysis: Development and perspectives
Yize Li, Rohit Gupta, Qiaozhi Zhang, et al.
Bioresource Technology (2022) Vol. 369, pp. 128423-128423
Open Access | Times Cited: 107
Machine learning assisted prediction of biochar yield and composition via pyrolysis of biomass
Yize Li, Rohit Gupta, Siming You
Bioresource Technology (2022) Vol. 359, pp. 127511-127511
Open Access | Times Cited: 96
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: 96
Machine learning assisted predicting and engineering specific surface area and total pore volume of biochar
Hailong Li, Zejian Ai, Lihong Yang, et al.
Bioresource Technology (2022) Vol. 369, pp. 128417-128417
Closed Access | Times Cited: 73
Machine learning models for the prediction of total yield and specific surface area of biochar derived from agricultural biomass by pyrolysis
Abdul Hai, G. Bharath, Muhamad Fazly Abdul Patah, et al.
Environmental Technology & Innovation (2023) Vol. 30, pp. 103071-103071
Open Access | Times Cited: 66
Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 48
Harnessing the power of functionalized biochar: progress, challenges, and future perspectives in energy, water treatment, and environmental sustainability
Muhammad Zubair Yameen, Salman Raza Naqvi, Dagmar Juchelková, et al.
Biochar (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 44
Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
He Dasi, Ying Zhang, MD Faisal Bin Ashab
Energy (2024) Vol. 291, pp. 130297-130297
Closed Access | Times Cited: 23
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: 22
Enhancing biomass Pyrolysis: Predictive insights from process simulation integrated with interpretable Machine learning models
Douglas Chinenye Divine, Stell Hubert, Emmanuel I. Epelle, et al.
Fuel (2024) Vol. 366, pp. 131346-131346
Closed Access | Times Cited: 22
Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm
Zeeshan Haq, Hafeez Ullah, Muhammad Nouman Aslam Khan, et al.
Process Safety and Environmental Protection (2022) Vol. 184, pp. 614-626
Closed Access | Times Cited: 58
Machine learning prediction of nitrogen heterocycles in bio-oil produced from hydrothermal liquefaction of biomass
Lijian Leng, Weijin Zhang, Qingyue Chen, et al.
Bioresource Technology (2022) Vol. 362, pp. 127791-127791
Closed Access | Times Cited: 44
Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction
Zeeshan Haq, Hafeez Ullah, Muhammad Nouman Aslam Khan, et al.
Bioresource Technology (2022) Vol. 363, pp. 128008-128008
Closed Access | Times Cited: 42
A review on properties, challenges and commercial aspects of eco-friendly biolubricants productions
Uzair Ahmad, Salman Raza Naqvi, Imtiaz Ali, et al.
Chemosphere (2022) Vol. 309, pp. 136622-136622
Closed Access | Times Cited: 38
Prediction of hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy
Muhammad Nouman Aslam Khan, Zeeshan Haq, Hafeez Ullah, et al.
International Journal of Hydrogen Energy (2023) Vol. 54, pp. 512-525
Closed Access | Times Cited: 38
Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy
Prathiba Rex, Kalil Mohammed Ismail, Nagaraj Meenakshisundaram, et al.
ChemEngineering (2023) Vol. 7, Iss. 3, pp. 50-50
Open Access | Times Cited: 35
Optimization based comparative study of machine learning methods for the prediction of bio-oil produced from microalgae via pyrolysis
Hafeez Ullah, Zeeshan Haq, Salman Raza Naqvi, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 170, pp. 105879-105879
Closed Access | Times Cited: 34
Biochar production and its environmental applications: Recent developments and machine learning insights
Kolli Venkata Supraja, Himanshu Kachroo, Gayatri Viswanathan, et al.
Bioresource Technology (2023) Vol. 387, pp. 129634-129634
Closed Access | Times Cited: 25
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: 13
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: 12
A hybrid approach combining mechanism-guided data augmentation and machine learning for biomass pyrolysis
Peng Jiang, Jing Fan, Lin Li, et al.
Chemical Engineering Science (2024) Vol. 296, pp. 120227-120227
Closed Access | Times Cited: 10
Machine learning screening of biomass precursors to prepare biomass carbon for organic wastewater purification: A review
Baoying Wang, Bo Li, Huanyan Xu
Chemosphere (2024) Vol. 362, pp. 142597-142597
Closed Access | Times Cited: 10
Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review
Kapil Khandelwal, Sonil Nanda, Ajay K. Dalai
Environmental Chemistry Letters (2024)
Closed Access | Times Cited: 10
Nanomedicine facilitated cell signaling blockade: difficulties and strategies to overcome glioblastoma
Mohammad Habeeb, Hariharan Thirumalai Vengateswaran, Huay Woon You, et al.
Journal of Materials Chemistry B (2024) Vol. 12, Iss. 7, pp. 1677-1705
Closed Access | Times Cited: 8
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