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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:

Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls
Vali Rasooli Sharabiani, Mohammad Kaveh, Ebrahim Taghinezhad, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 1771-1771
Open Access | Times Cited: 19

Showing 19 citing articles:

Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)
Daniel Jia Sheng Chong, Yi Jing Chan, Senthil Kumar Arumugasamy, et al.
Energy (2022) Vol. 266, pp. 126449-126449
Open Access | Times Cited: 59
Toward intelligent food drying: Integrating artificial intelligence into drying systems
Seyed-Hassan Miraei Ashtiani, Alex Martynenko
Drying Technology (2024) Vol. 42, Iss. 8, pp. 1240-1269
Closed Access | Times Cited: 13
A novel physics-informed neural networks approach (PINN-MT) to solve mass transfer in plant cells during drying
Chanaka Batuwatta-Gamage, Charith Rathnayaka, H.C.P. Karunasena, et al.
Biosystems Engineering (2023) Vol. 230, pp. 219-241
Open Access | Times Cited: 19
Enhancing water quality management through artificial intelligence and machine learning technologies
Aakriti Chauhan, Purnima Mehta, Arun Lal Srivastav
Elsevier eBooks (2025), pp. 69-88
Closed Access
Characterizing agricultural product drying in solar systems using thin-layer drying models: comprehensive review
Halefom Kidane, I. Farkas, Janos Buzás
Discover Food (2025) Vol. 5, Iss. 1
Open Access
Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification
Sanaboina Leela Krishna, I. Jasmine Selvakumari Jeya, S. N. Deepa
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 19343-19376
Closed Access | Times Cited: 19
Comparison of ANN and ANFIS modeling for predicting drying kinetics of Stevia rebaudiana leaves in a hot-air dryer and characterization of dried powder
Baldev Singh Kalsi, Sandhya Singh, MS Alam, et al.
International Journal of Food Properties (2023) Vol. 26, Iss. 2, pp. 3356-3375
Open Access | Times Cited: 12
Biochar production from valorization of agricultural Wastes: Data-Driven modelling using Machine learning algorithms
Ramesh Kanthasamy, Eydhah Almatrafi, Imtiaz Ali, et al.
Fuel (2023) Vol. 351, pp. 128948-128948
Closed Access | Times Cited: 11
Prediction of moisture ratio and drying rate of orange slices using machine learning approaches
Necati Çetin
Journal of Food Processing and Preservation (2022) Vol. 46, Iss. 11
Open Access | Times Cited: 10
Application of Adaptive Neuro-Fuzzy Inference Systems with Principal Component Analysis Model for the Forecasting of Carbonation Depth of Reinforced Concrete Structures
Juan Liu, Xuewei Bai
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 5824-5824
Open Access | Times Cited: 4
Prediction of the capacitance of the corn drying process parameter using adaptive- neuro-fuzzy intelligent technique with experimental validation
Emel Çelik, Mehmet Aki̇f Koç, Nezaket Parlak, et al.
Drying Technology (2023) Vol. 42, Iss. 1, pp. 90-113
Closed Access | Times Cited: 4
AI Energy Optimal Strategy on Variable Speed Drives for Multi-Parallel Aqua Pumping System
M. Baranidharan, R. Raja Singh
Energies (2022) Vol. 15, Iss. 12, pp. 4343-4343
Open Access | Times Cited: 6
Performance analysis and modeling of bio-hydrogen recovery from agro-industrial wastewater
SK Safdar Hossain, Syed Sadiq Ali, Chin Kui Cheng, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 3
A novel machine learning-based computational framework for predicting microscale morphological changes of plant cells during drying
Chanaka Prabuddha Batuwatta Gamage
(2024)
Open Access
Modeling the Drying Process of Onion Slices Using Artificial Neural Networks
S. Francik, Bogusława Łapczyńska-Kordon, Michał Hajos, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3199-3199
Open Access
Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image
Madaín Pérez‐Patricio, J. A. de Jesús Osuna-Coutiño, Germán Ríos-Toledo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7860-7860
Open Access
Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression
Jolanta Wawrzyniak, Magdalena Rudzińska, Marzena Gawrysiak‐Witulska, et al.
Molecules (2022) Vol. 27, Iss. 8, pp. 2445-2445
Open Access | Times Cited: 1
Current Trends in Intelligent Control Neural Networks for Thermal Processing (Foods): Systematic Literature Review
Dewi Marfuah, Nurul Kholisatul Ulya, Dewi Pertiwi Dyah Kusudaryati, et al.
Journal of Robotics and Control (JRC) (2022) Vol. 3, Iss. 4, pp. 519-527
Open Access | Times Cited: 1
Prediction of Colour Characteristics of Microwave-Dried Tomato Slices Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems
Jelili Babatunde Hussein, Moruf Olanrewaju Oke, Fausat Fadeke Agboola, et al.
Contemporary Agriculture (2023) Vol. 72, Iss. 3, pp. 107-121
Open Access
Special Issue on Functional Properties in Preharvest and Postharvest Fruit and Vegetables
Gang Ma, Masaya Kato, P. Jitareerat
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7652-7652
Open Access
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