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:

Applications MLP and Other Methods in Artificial Intelligence of Fruit and Vegetable in Convective and Spray Drying
Krzysztof Przybył, K. Koszela
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2965-2965
Open Access | Times Cited: 18

Showing 18 citing articles:

Multifunctional, Hybrid Materials Design via Spray‐Drying: Much more than Just Drying
Susanne Wintzheimer, Leoni Luthardt, Kiet Le Anh Cao, et al.
Advanced Materials (2023) Vol. 35, Iss. 47
Open Access | Times Cited: 43

Bio-Coatings for Preservation of Fresh Fruits and Vegetables
Camelia Ungureanu, Grațiela Teodora Tihan, Roxana Gabriela Zgârian, et al.
Coatings (2023) Vol. 13, Iss. 8, pp. 1420-1420
Open Access | Times Cited: 30

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: 12

Review on Artificial Intelligence Powered Food Processing: Enhancing Safety and Sustainability
Deribe Mengistu, Girma Ashe
Deleted Journal (2025) Vol. 3, Iss. 1, pp. 92-101
Closed Access

Recent advances in biobased materials and their applications
Rois Uddin Mahmud, Md Zillur Rahman
Elsevier eBooks (2024), pp. 453-478
Closed Access | Times Cited: 3

Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint
Bara Yudhistira, Prakoso Adi, Rizka Mulyani, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 5
Open Access | Times Cited: 3

Mathematical Modeling Approach and Simulation in Food Drying Applications
Biljana Lončar, Lato Pezo
Foods (2024) Vol. 13, Iss. 3, pp. 384-384
Open Access | Times Cited: 2

Efficiency of Identification of Blackcurrant Powders Using Classifier Ensembles
Krzysztof Przybył, Katarzyna Walkowiak, Przemysław Łukasz Kowalczewski
Foods (2024) Vol. 13, Iss. 5, pp. 697-697
Open Access | Times Cited: 2

Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
Vahid Moosavi, Sahar Mostafaei, Ronny Berndtsson
Applied Soft Computing (2024) Vol. 155, pp. 111425-111425
Open Access | Times Cited: 2

Advancements in spray drying, part I: From critical factors to variegated applications
Zhe Li, Caiyun Sun, Abid Naeem, et al.
Drying Technology (2024), pp. 1-29
Closed Access | Times Cited: 2

Review of Energy-Related Machine Learning Applications in Drying Processes
Damir Đaković, Miroslav Kljajić, Nikola Milivojević, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 224-224
Open Access | Times Cited: 5

Review of AI-Powered Food Processing: Enhancing Safety and Sustainability
Deribe Mengistu, Girma Ashe
Journal of Agroalimentary Process and Technologies. (2024) Vol. 2024 (30), Iss. 2, pp. 192-202
Closed Access | Times Cited: 1

Evaluation of a novel hybrid lion swarm optimization – AdaBoostRegressor model for forecasting monthly precipitation
Sumantha Esther Priestly, Kumudha Raimond, Yafit Cohen, et al.
Sustainable Computing Informatics and Systems (2023) Vol. 39, pp. 100884-100884
Closed Access | Times Cited: 4

Fruit Powder Analysis Using Machine Learning Based on Color and FTIR-ATR Spectroscopy—Case Study: Blackcurrant Powders
Krzysztof Przybył, Katarzyna Walkowiak, Aleksandra Jedlińska, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9098-9098
Open Access | Times Cited: 4

Rotary gate discharge determination for inclusive data from free to submerged flow conditions using ENN, ENN–GA, and SVM–SA
Ava Marashi, Salah Kouchakzadeh, Hojjat Allah Yonesi
Journal of Hydroinformatics (2023) Vol. 25, Iss. 4, pp. 1312-1328
Open Access | Times Cited: 2

Artificial Intelligence in Time Series Prediction, Classification, and Sequence-to-Sequence Problems
Rosminah Mustakim, Mazlina Mamat, Farrah Wong, et al.
Internet of things (2024), pp. 103-118
Closed 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

The Prediction of Pectin Viscosity Using Machine Learning Based on Physical Characteristics—Case Study: Aglupectin HS-MR
Przemysław Siejak, Krzysztof Przybył, Łukasz Masewicz, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 5877-5877
Open Access

Moisture Prediction in Bird’s Nest Drying with Machine Learning Models
Hai Tao Jin, Zhiyuan Chen, Chung Lim Law
Process Integration and Optimization for Sustainability (2024) Vol. 9, Iss. 1, pp. 197-207
Closed Access

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