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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.

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Showing 26-50 of 130 citing articles:

Transforming plant-based waste and by-products into valuable products using various “Food Industry 4.0” enabling technologies: A literature review
Abderrahmane Aït‐Kaddour, Abdo Hassoun, Inès Tarchi, et al.
The Science of The Total Environment (2024) Vol. 955, pp. 176872-176872
Open Access | Times Cited: 11
Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery
S. Kavitha, Yukesh Kannah Ravi, Gopalakrishnan Kumar, et al.
Journal of Environmental Management (2024) Vol. 353, pp. 120135-120135
Closed Access | Times Cited: 9
An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach
Sheetal Kumari, Smriti Agarwal, Manish Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Adsorptive removal of Pb (II) by means of hydroxyapatite/chitosan nanocomposite hybrid nanoadsorbent: ANFIS modeling and experimental study
Amin Sadeghizadeh, Farbod Ebrahimi, Maryam Heydari, et al.
Journal of Environmental Management (2018) Vol. 232, pp. 342-353
Closed Access | Times Cited: 72
Food waste from restaurant sector – Characterization for biorefinery approach
Miguel Carmona-Cabello, Isabel López García, J. Sáez-Bastante, et al.
Bioresource Technology (2020) Vol. 301, pp. 122779-122779
Closed Access | Times Cited: 68
Comparison of regression models for estimation of carbon emissions during building's lifecycle using designing factors: a case study of residential buildings in Tianjin, China
Mao Xikai, Lixiong Wang, Li Jiwei, et al.
Energy and Buildings (2019) Vol. 204, pp. 109519-109519
Closed Access | Times Cited: 61
Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment
Małgorzata Smuga‐Kogut, Tomasz Kogut, Roksana Markiewicz, et al.
Energies (2021) Vol. 14, Iss. 1, pp. 243-243
Open Access | Times Cited: 55
ANFIS, ANN, and RSM modeling of moisture content reduction of cocoyam slices
Chijioke Elijah Onu, Philomena K. Igbokwe, Joseph Tagbo Nwabanne, et al.
Journal of Food Processing and Preservation (2021) Vol. 46, Iss. 1
Open Access | Times Cited: 45
Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks
C. Tsekos, S. Tandurella, Wiebren de Jong
Journal of Analytical and Applied Pyrolysis (2021) Vol. 157, pp. 105180-105180
Open Access | Times Cited: 41
Comparison of RSM and ANFIS modeling techniques in corrosion inhibition studies of Aspilia Africana leaf extract on mild steel and aluminium metal in acidic medium
L. N. Emembolu, Paschal Enyinnaya Ohale, Chijioke Elijah Onu, et al.
Applied Surface Science Advances (2022) Vol. 11, pp. 100316-100316
Open Access | Times Cited: 36
Machine learning models for biomass energy content prediction: A correlation-based optimal feature selection approach
Usman Alhaji Dodo, Evans Chinemezu Ashigwuike, Sani I. Abba
Bioresource Technology Reports (2022) Vol. 19, pp. 101167-101167
Closed Access | Times Cited: 34
Development of lower heating value prediction models and estimation of energy recovery potential of municipal solid waste and RDF incineration
Atul Kumar, Sukha Ranjan Samadder
Energy (2023) Vol. 274, pp. 127273-127273
Closed Access | Times Cited: 21
Performance Improvement of Machine Learning Model Using Autoencoder to Predict Demolition Waste Generation Rate
Gi-Wook Cha, Won‐Hwa Hong, Young‐Chan Kim
Sustainability (2023) Vol. 15, Iss. 4, pp. 3691-3691
Open Access | Times Cited: 17
An integral and multidimensional review on multi-layer perceptron as an emerging tool in the field of water treatment and desalination processes
Anwar Faizaan Reza, Randeep Singh, Rohit Kumar Verma, et al.
Desalination (2024) Vol. 586, pp. 117849-117849
Closed Access | Times Cited: 7
Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses
Esra İmamoğlu
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1143-1143
Open Access | Times Cited: 7
The combined machine learning model SMOTER-GA-RF for methane yield prediction during anaerobic digestion of straw lignocellulose based on random forest regression
Zini Wang, Fuxing Wu, Ning Hao, et al.
Journal of Cleaner Production (2024) Vol. 466, pp. 142909-142909
Closed Access | Times Cited: 6
Modeling and Compensation of Random Drift of MEMS Gyroscopes Based on Least Squares Support Vector Machine Optimized by Chaotic Particle Swarm Optimization
Haifeng Xing, Bo Hou, Zhihui Lin, et al.
Sensors (2017) Vol. 17, Iss. 10, pp. 2335-2335
Open Access | Times Cited: 56
A comparative data mining approach for the prediction of energy recovery potential from various municipal solid waste
Mehdi Bagheri, Reza Esfilar, Mohammad Sina Golchi, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 116, pp. 109423-109423
Closed Access | Times Cited: 50
Hybridizing four wise neural-metaheuristic paradigms in predicting soil shear strength
Hossein Moayedi, Mesut Gör, Mahdy Khari, et al.
Measurement (2020) Vol. 156, pp. 107576-107576
Closed Access | Times Cited: 43
Review of higher heating value of municipal solid waste based on analysis and smart modelling
Amir Dashti, Abolfazl Sajadi Noushabadi, Javad Asadi, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 151, pp. 111591-111591
Closed Access | Times Cited: 39
Prediction of fugitive landfill gas hotspots using a random forest algorithm and Sentinel-2 data
Nima Karimi, Kelvin Tsun Wai Ng, Amy Richter
Sustainable Cities and Society (2021) Vol. 73, pp. 103097-103097
Closed Access | Times Cited: 36
Data-driven estimation of TBM performance in soft soils using density-based spatial clustering and random forest
Xianlei Fu, Liuyang Feng, Limao Zhang
Applied Soft Computing (2022) Vol. 120, pp. 108686-108686
Closed Access | Times Cited: 24
Modeling, optimization, and adsorptive studies of bromocresol green dye removal using acid functionalized corn cob
Chijioke Elijah Onu, Paschal Enyinnaya Ohale, Benjamin Nnamdi Ekwueme, et al.
Cleaner Chemical Engineering (2022) Vol. 4, pp. 100067-100067
Open Access | Times Cited: 24
An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process
Jian Tang, Tianzheng Wang, Heng Xia, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 2042-2042
Open Access | Times Cited: 5
Quinoxaline derivatives as corrosion inhibitors: Development of predictive machine using Partial Least Squares and Random Forest ((PLS/RF) models based on Quantitative Structure-Activity Relationship (QSAR).
N. Errahmany, M. Nounah, S. Yaqouti, et al.
Next research. (2025), pp. 100148-100148
Closed Access

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