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:
Applying feature selection and machine learning techniques to estimate the biomass higher heating value
Seyyed Amirreza Abdollahi, Seyyed Faramarz Ranjbar, Dorsa Razeghi Jahromi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Seyyed Amirreza Abdollahi, Seyyed Faramarz Ranjbar, Dorsa Razeghi Jahromi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
Biomass energy transformation: Harnessing the power of explainable ai to unlock the potential of ultimate analysis data
Mansoor Alruqi, Prabhakar Sharma, Sameer Algburi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103652-103652
Open Access | Times Cited: 7
Mansoor Alruqi, Prabhakar Sharma, Sameer Algburi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103652-103652
Open Access | Times Cited: 7
Biomass Higher Heating Value Estimation: A Comparative Analysis of Machine Learning Models
Ivan Brandić, Lato Pezo, Neven Voća, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2137-2137
Open Access | Times Cited: 2
Ivan Brandić, Lato Pezo, Neven Voća, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2137-2137
Open Access | Times Cited: 2
Artificial Intelligence for Hybrid Modeling in Fluid Catalytic Cracking (FCC)
Jansen Gabriel Acosta-López, Hugo de Lasa
Processes (2023) Vol. 12, Iss. 1, pp. 61-61
Open Access | Times Cited: 5
Jansen Gabriel Acosta-López, Hugo de Lasa
Processes (2023) Vol. 12, Iss. 1, pp. 61-61
Open Access | Times Cited: 5
Predicting a Higher Heating Value for Torrefied Kesambi Leaf Biobriquettes through Ultimate Analysis
Jemmy Jonson Sula Dethan
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 04
Open Access | Times Cited: 1
Jemmy Jonson Sula Dethan
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 04
Open Access | Times Cited: 1
Forecasting Higher Heating Value of Biomass Fuels based on Ultimate Analysis using various Deep Learning Frameworks
Nilesh Agarwal, Kapil Sharma, Mukhtiar Singh
(2024), pp. 756-761
Closed Access
Nilesh Agarwal, Kapil Sharma, Mukhtiar Singh
(2024), pp. 756-761
Closed Access
Possibilities of Liquefied Spruce (Picea abies) and Oak (Quercus robur) Biomass as an Environmentally Friendly Additive in Conventional Phenol–Formaldehyde Resin Wood Adhesives
Božidar Matin, Ivan Brandić, Ana Matin, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4456-4456
Open Access
Božidar Matin, Ivan Brandić, Ana Matin, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4456-4456
Open Access
A novel neural-evolutionary framework for predicting weight on the bit in drilling operations
Masrour Dowlatabadi, Saeed Azizi, Mohsen Dehbashi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
Masrour Dowlatabadi, Saeed Azizi, Mohsen Dehbashi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
