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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 for algal biofuels: a critical review and perspective for the future
Ahmet Çoşgun, M. Erdem Günay, Ramazan Yıldırım
Green Chemistry (2023) Vol. 25, Iss. 9, pp. 3354-3373
Closed Access | Times Cited: 18

Showing 18 citing articles:

Enhancing algal production strategies: strain selection, AI-informed cultivation, and mutagenesis
Amnah Alzahmi, Sarah Daakour, David R. Nelson, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 9
Machine learning-based exploration of biochar for environmental management and remediation
Burcu Oral, Ahmet Coşgun, M. Erdem Günay, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121162-121162
Closed Access | Times Cited: 8
pplication of Supervised Machine Learning Models in Biodiesel Production Research - A Short Review
Amaranadha Reddy Manchuri, Akhila Kakera, A. A. Saleh, et al.
Borneo Journal of Sciences and Technology (2024)
Open Access | Times Cited: 7
Efficient algal lipid extraction via a green bio-electro-Fenton process and its conversion into biofuel and bioelectricity with concurrent wastewater treatment in a photosynthetic microbial fuel cell
Swati Das, Rishabh Raj, Makarand M. Ghangrekar
Green Chemistry (2023) Vol. 25, Iss. 18, pp. 7166-7182
Closed Access | Times Cited: 14
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
Application of machine learning for antibiotic resistance in water and wastewater: A systematic review
Maryam Foroughi, Afrooz Arzehgar, Seyedeh Nahid Seyedhasani, et al.
Chemosphere (2024) Vol. 358, pp. 142223-142223
Closed Access | Times Cited: 4
Exploring the Critical Factors of Biomass Pyrolysis for Sustainable Fuel Production by Machine Learning
Asya İşçen, K. Öznacar, K.M. Murat Tunç, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14884-14884
Open Access | Times Cited: 10
Improved classification of soil As contamination at continental scale: Resolving class imbalances using machine learning approach
Tao Hu, Kechao Li, Chundi Ma, et al.
Chemosphere (2024) Vol. 363, pp. 142697-142697
Closed Access | Times Cited: 3
Applications of Machine Learning Technologies for Feedstock Yield Estimation of Ethanol Production
Hyeongjun Lim, Sojung Kim
Energies (2024) Vol. 17, Iss. 20, pp. 5191-5191
Open Access | Times Cited: 3
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
Artificial intelligence and machine learning models application in biodiesel optimization process and fuel properties prediction
Muhammad Arif, Adel I. Alalawy, Yuanzhang Zheng, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104097-104097
Closed Access | Times Cited: 2
Review on Machine Learning as a Key Technology Enabler for Sustainable Biodiesel Production
Brihaspati Singh, Anmesh Kumar Srivastava, Om Prakash
Advances in computational intelligence and robotics book series (2024), pp. 219-238
Closed Access | Times Cited: 1
Improved environmental chemistry property prediction of molecules with graph machine learning
Shang Zhu, Bichlien H. Nguyen, Yingce Xia, et al.
Green Chemistry (2023) Vol. 25, Iss. 17, pp. 6612-6617
Closed Access | Times Cited: 3
New Insights Into Valuable Strategies for Generating Algal Biofuels
S. Malini, Kalyan Raj, K.S. Anantharaju
(2024), pp. 363-377
Closed Access
Machine Learning–Based Analysis of Sustainable Biochar Production Processes
Ahmet Coşgun, Burcu Oral, M. Erdem Günay, et al.
BioEnergy Research (2024) Vol. 17, Iss. 4, pp. 2311-2327
Closed Access
Supervised and unsupervised machine learning for elemental changes evaluation of torrefied biochars
Congyu Zhang, Charles B. Felix, Wei‐Hsin Chen, et al.
Energy (2024), pp. 133672-133672
Closed Access
Evolution of biofuels: Unraveling diverse applications and emerging horizons
Fatima Akram, Esha Shoaib, Taseer Fatima, et al.
Energy Exploration & Exploitation (2024)
Open Access
Improved Environmental Chemistry Property Prediction of Molecules with Graph Machine Learning
Shang Zhu, Bichlien H. Nguyen, Yingce Xia, et al.
(2023)
Open Access
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