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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:

Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Pil Rip Jeon, Jong-Ho Moon, Nafiu Olanrewaju Ogunsola, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144503-144503
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A review of wastewater sludge-to-energy generation focused on thermochemical technologies: An improved technological, economical and socio-environmental aspect
Simphiwe Gift Nkuna, Thomas O. Olwal, SP Daniel Chowdhury, et al.
Cleaner Waste Systems (2024) Vol. 7, pp. 100130-100130
Open Access | Times Cited: 16
Nanotechnology-powered innovations for agricultural and food waste valorization: A critical appraisal in the context of circular economy implementation in developing nations
B. Preethi, Natchimuthu Karmegam, Sivasubramanian Manikandan, et al.
Process Safety and Environmental Protection (2024) Vol. 184, pp. 477-491
Closed Access | Times Cited: 15
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1593-1617
Open Access | Times Cited: 12
Simultaneous optimizations of heavy metal immobilizations, products, temperature, and atmosphere dependency by acid pretreatment-assisted pyrolysis and gasification of hyperaccumulator (Pteris vittate L.) biomass
Shengzheng Huang, Zhiwei Huang, Zhibin Chen, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 142004-142004
Closed Access | Times Cited: 11
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: 1
Influence of multivalent background ions competition adsorption on the adsorption behavior of azo dye molecules and removal mechanism: Based on machine learning, DFT and experiments
Chen Zhao, Wenjun Zhang, Yuxing Zhang, et al.
Separation and Purification Technology (2024) Vol. 341, pp. 126810-126810
Closed Access | Times Cited: 11
Introduction of machine learning and artificial intelligence in biofuel technology
Jude A. Okolie
Current Opinion in Green and Sustainable Chemistry (2024) Vol. 47, pp. 100928-100928
Closed Access | Times Cited: 9
Biofuel and biochemical production through biomass transformation using advanced thermochemical and biochemical processes – A review
Shanmugam Poornima, S. Manikandan, Rajavel Prakash, et al.
Fuel (2024) Vol. 372, pp. 132204-132204
Closed Access | Times Cited: 7
Envisioning Human–Machine Relationship Towards Mining of the Future: An Overview
Peter Kolapo, Nafiu Olanrewaju Ogunsola, Kayode Komolafe, et al.
Mining (2025) Vol. 5, Iss. 1, pp. 5-5
Open Access
Cutting-Edge Technologies: Biofuel Innovations in Marine Propulsion Systems to lower black carbon emissions
S. Manikandan, Sundaram Vickram, Yuvarajan Devarajan
Results in Engineering (2025), pp. 104095-104095
Open Access
Hydrogen-powered future: Catalyzing energy transition, industry decarbonization and sustainable economic development, a review
Bruno Augusto Cabral Roque, Matheus Henrique Castanha Cavalcanti, Pedro Pinto Ferreira Brasileiro, et al.
Gondwana Research (2025)
Closed Access
Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy
Tien Han Nguyen, Prabhu Paramasivam, Van Huong Dong, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 5
A Pareto aggregation approach for environmental-economic multi-objective optimization applied on a second-generation bioethanol production model
Konstantina Vasilakou, Pieter Billen, Steven Van Passel, et al.
Energy Conversion and Management (2024) Vol. 303, pp. 118184-118184
Closed Access | Times Cited: 4
Reveal the main factors and adsorption behavior influencing the adsorption of pollutants on natural mineral adsorbents: Based on machine learning modeling and DFT calculation
Chen Zhao, Jie Zhang, Wenjun Zhang, et al.
Separation and Purification Technology (2023) Vol. 331, pp. 125706-125706
Closed Access | Times Cited: 11
Machine learning optimization for enhanced biomass-coal co-gasification
Junting Pan, Hossein Shahbeik, Alireza Shafizadeh, et al.
Renewable Energy (2024) Vol. 229, pp. 120772-120772
Closed Access | Times Cited: 3
Solventless recovery of lipids from urban sewage sludge: How to sustainably turn a waste into a valuable source of oleochemicals
Luigi di Bitonto, Vito Locaputo, Carlo Pastore
Chemical Engineering Journal (2024) Vol. 494, pp. 152991-152991
Open Access | Times Cited: 3
Modelling of thermochemical processes of waste recycling: A review
Bing Han, Dileep Kumar, Yang Pei, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 182, pp. 106687-106687
Closed Access | Times Cited: 3
Machine learning-driven optimization of Ni-based catalysts for catalytic steam reforming of biomass tar
Nantao Wang, Hongyuan He, Yaolin Wang, et al.
Energy Conversion and Management (2023) Vol. 300, pp. 117879-117879
Open Access | Times Cited: 8
Synergistic consideration of co-treatment of sewage sludge, low-rank coal, and straw for sustainable resource utilization and enhanced energy efficiency: a review
Paul Chinonso Ogugua, Huihui Su, Yuanyang Tu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 17, pp. 24788-24814
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.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2
High-throughput screening of 2,500 ionic liquids for sustainable furfural recovery: Bridging quantum simulations, machine learning, and experimental validation
Ahmad S. Darwish, Tarek Lemaoui, Hanifa Taher, et al.
Chemical Engineering Journal (2024) Vol. 496, pp. 153965-153965
Closed Access | Times Cited: 1
Exploring ANFIS application based on actual data from wastewater treatment plant for predicting effluent removal quality of selected major pollutants
Liang Qiao, Pei Yang, Qi Leng, et al.
Journal of Water Process Engineering (2023) Vol. 56, pp. 104247-104247
Closed Access | Times Cited: 5
Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review
Nafiu Olanrewaju Ogunsola, Seung Seok Oh, Pil Rip Jeon, et al.
Korean Journal of Chemical Engineering (2024) Vol. 41, Iss. 7, pp. 1923-1953
Closed Access | Times Cited: 1
Exploring the role of process control and catalyst design in methane catalytic decomposition: A machine learning perspective
Yuming Wen, Shule Wang, Libo Wu, et al.
International Journal of Hydrogen Energy (2024) Vol. 72, pp. 601-613
Closed Access | Times Cited: 1
Enhanced lactide yield in catalytic conversion of L-lactic acid from passivation of external acidic sites on aluminosilicate Beta zeolites by coating siliceous Beta zeolite
Ziyuan Qiao, Jian Zhang, Zhou Chang, et al.
Chemical Engineering Journal (2023) Vol. 479, pp. 147803-147803
Closed Access | Times Cited: 2
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