OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 141

Showing 1-25 of 141 citing articles:

Machine learning for hydrothermal treatment of biomass: A review
Weijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology (2022) Vol. 370, pp. 128547-128547
Closed Access | Times Cited: 88

Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries
Vishal Sharma, Mei‐Ling Tsai, Chiu‐Wen Chen, et al.
The Science of The Total Environment (2023) Vol. 886, pp. 163972-163972
Closed Access | Times Cited: 49

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: 47

Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
Hossein Shahbeik, Alireza Shafizadeh, Mohammad Hossein Nadian, et al.
Journal of Cleaner Production (2023) Vol. 387, pp. 135881-135881
Open Access | Times Cited: 45

Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects
Amirreza Gharibi, Reza Babazadeh, Rezgar Hasanzadeh
Process Safety and Environmental Protection (2024) Vol. 183, pp. 46-58
Closed Access | Times Cited: 21

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

Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review
Ermias Girma Aklilu, Tijani Bounahmidi
International Journal of Hydrogen Energy (2024) Vol. 61, pp. 578-602
Closed Access | Times Cited: 16

Co-pyrolysis of biomass and plastic wastes and application of machine learning for modelling of the process: A comprehensive review
Deepak Bhushan, Sanjeevani Hooda, Prasenjit Mondal
Journal of the Energy Institute (2025) Vol. 119, pp. 101973-101973
Closed Access | Times Cited: 2

A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes
Olugbenga Akande, Jude A. Okolie, Richard Kimera, et al.
Green Energy and Intelligent Transportation (2025), pp. 100260-100260
Open Access | Times Cited: 2

Exposing and understanding synergistic effects in co-pyrolysis of biomass and plastic waste via machine learning
Prapaporn Prasertpong, Thossaporn Onsree, Nattawut Khuenkaeo, et al.
Bioresource Technology (2022) Vol. 369, pp. 128419-128419
Closed Access | Times Cited: 49

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
Aditya Velidandi, Pradeep Kumar Gandam, Madhavi Latha Chinta, et al.
Journal of Energy Chemistry (2023) Vol. 81, pp. 42-63
Closed Access | Times Cited: 39

Thermochemical conversion of agricultural waste to hydrogen, methane, and biofuels: A review
Ahmed Khan, Muhammad Bilal Khan, Reema Ansar, et al.
Fuel (2023) Vol. 351, pp. 128947-128947
Closed Access | Times Cited: 39

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

Importance of Blue Carbon in Mitigating Climate Change and Plastic/Microplastic Pollution and Promoting Circular Economy
Suhaib A. Bandh, Fayaz A. Malla, Irteza Qayoom, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2682-2682
Open Access | Times Cited: 38

Machine learning applications in biomass pyrolysis: From biorefinery to end-of-life product management
David Akorede Akinpelu, Adekoya Oluwaseun Abiodun, Peter Olusakin Oladoye, et al.
Digital Chemical Engineering (2023) Vol. 8, pp. 100103-100103
Open Access | Times Cited: 36

Gasification of biomass for syngas production: Research update and stoichiometry diagram presentation
Ying-Ju Chang, Jo‐Shu Chang, Duu‐Jong Lee
Bioresource Technology (2023) Vol. 387, pp. 129535-129535
Closed Access | Times Cited: 28

Aspen plus simulation model of municipal solid waste gasification of metropolitan city for syngas production
Muzaffar Mehdi, Syed Ali Ammar Taqvi, Asif Ahmed Shaikh, et al.
Fuel (2023) Vol. 344, pp. 128128-128128
Closed Access | Times Cited: 27

Advancing sustainable development goals with machine learning and optimization for wet waste biomass to renewable energy conversion
Shou-Dong Zhu, Nathan Preuss, Fengqi You
Journal of Cleaner Production (2023) Vol. 422, pp. 138606-138606
Closed Access | Times Cited: 25

Sugarcane Bagasse: Challenges and Opportunities for Waste Recycling
Carlos Toshiyuki Hiranobe, Andressa Silva Gomes, Fábio Friol Guedes de Paiva, et al.
Clean Technologies (2024) Vol. 6, Iss. 2, pp. 662-699
Open Access | Times Cited: 15

Machine learning models for predicting biochar properties from lignocellulosic biomass torrefaction
Guangcan Su, Peng Jiang
Bioresource Technology (2024) Vol. 399, pp. 130519-130519
Closed Access | Times Cited: 14

Optimized biodiesel synthesis from an optimally formulated ternary feedstock blend via machine learning-informed methanolysis using a composite biobased catalyst
Andrew Nosakhare Amenaghawon, Melissa Osagbemwenorhue Omede, Glory Odoekpen Ogbebor, et al.
Bioresource Technology Reports (2024) Vol. 25, pp. 101805-101805
Closed Access | Times Cited: 14

Using artificial intelligence to implement the UN sustainable development goals at higher education institutions
Walter Leal Filho, Priscilla Cristina Cabral Ribeiro, Janaína Mazutti, et al.
International Journal of Sustainable Development & World Ecology (2024) Vol. 31, Iss. 6, pp. 726-745
Closed Access | Times Cited: 14

Biochar as Alternative Material for Heavy Metal Adsorption from Groundwaters: Lab-Scale (Column) Experiment Review
Paolo Viotti, Simone Marzeddu, Angela Antonucci, et al.
Materials (2024) Vol. 17, Iss. 4, pp. 809-809
Open Access | Times Cited: 13

A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems
Jalal Sahebkar Farkhani, Özgür Çelık, Kaiqi Ma, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 192, pp. 114280-114280
Open Access | Times Cited: 10

Page 1 - Next Page

Scroll to top