
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 aids solvothermal liquefaction of algal biomass: Prediction of nitrogen content and bio-oil yield
Oraléou Sangué Djandja, Yaqi Shan, Liming Fan, et al.
Fuel (2023) Vol. 353, pp. 129284-129284
Closed Access | Times Cited: 7
Oraléou Sangué Djandja, Yaqi Shan, Liming Fan, et al.
Fuel (2023) Vol. 353, pp. 129284-129284
Closed Access | Times Cited: 7
Showing 7 citing articles:
Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects
Chao‐Tung Yang, Endah Kristiani, Yoong Kit Leong, et al.
Bioresource Technology (2024), pp. 131549-131549
Closed Access | Times Cited: 5
Chao‐Tung Yang, Endah Kristiani, Yoong Kit Leong, et al.
Bioresource Technology (2024), pp. 131549-131549
Closed Access | Times Cited: 5
Machine Learning and Artificial Intelligence for Algal Cultivation, Harvesting Techniques, Wastewater Treatment, Nutrient Recovery, and Biofuel Production and Optimization
Iradat Hussain Mafat, Sridhar Palla, Dadi Venkata Surya
(2024), pp. 463-487
Closed Access | Times Cited: 2
Iradat Hussain Mafat, Sridhar Palla, Dadi Venkata Surya
(2024), pp. 463-487
Closed Access | Times Cited: 2
Machine learning prediction of bio-oil yield during solvothermal liquefaction of lignocellulosic biowaste
Oraléou Sangué Djandja, Adekunlé Akim Salami, Haojun Yuan, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 175, pp. 106209-106209
Closed Access | Times Cited: 5
Oraléou Sangué Djandja, Adekunlé Akim Salami, Haojun Yuan, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 175, pp. 106209-106209
Closed Access | Times Cited: 5
Exploring the landscape of machine learning-aided research in biofuels and biodiesel: A bibliometric analysis
Avinash Alagumalai, Hua Song
Green Energy and Resources (2024) Vol. 2, Iss. 3, pp. 100089-100089
Open Access | Times Cited: 1
Avinash Alagumalai, Hua Song
Green Energy and Resources (2024) Vol. 2, Iss. 3, pp. 100089-100089
Open Access | Times Cited: 1
Advancing bioenergy: leveraging artificial intelligence for efficient production and optimization
Sayan Adhikary, Srijaa Sau, Shrestha Debnath, et al.
Elsevier eBooks (2024), pp. 177-186
Closed Access | Times Cited: 1
Sayan Adhikary, Srijaa Sau, Shrestha Debnath, et al.
Elsevier eBooks (2024), pp. 177-186
Closed Access | Times Cited: 1
Hydrothermal bio-oil yield and higher heating value of high moisture and lipid biomass: Machine Learning modeling and feature response behavior analysis
Xiangjie Liu, Xin Zhang, Khantaphong Charoenkal, et al.
Journal of the Energy Institute (2024), pp. 101859-101859
Closed Access | Times Cited: 1
Xiangjie Liu, Xin Zhang, Khantaphong Charoenkal, et al.
Journal of the Energy Institute (2024), pp. 101859-101859
Closed Access | Times Cited: 1
Machine learning model with a novel self–adjustment method: A powerful tool for predicting biomass ash fusibility and enhancing its potential applications
Lin Mu, Zhen Wang, Meng Sun, et al.
Renewable Energy (2024), pp. 121650-121650
Closed Access
Lin Mu, Zhen Wang, Meng Sun, et al.
Renewable Energy (2024), pp. 121650-121650
Closed Access