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:

Optimization of ultrasound-aided extraction of bioactive ingredients from Vitis vinifera seeds using RSM and ANFIS modeling with machine learning algorithm
Selvaraj Kunjiappan, Lokesh Kumar Ramasamy, K. Suthendran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

A review on the composition, extraction and applications of phenolic compounds
Great Iruoghene Edo, Susan Chinedu Nwachukwu, Ali B.M. Ali, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 12

Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning
Arun Kumar Shukla, Javed Alam, Santanu Mallik, et al.
Journal of Molecular Liquids (2024) Vol. 411, pp. 125745-125745
Closed Access | Times Cited: 11

The Bioaccessibility of Grape-Derived Phenolic Compounds: An Overview
Danijel D. Milinčić, Nemanja Stanisavljević, Milica M. Pešić, et al.
Foods (2025) Vol. 14, Iss. 4, pp. 607-607
Open Access | Times Cited: 1

Antimicrobial Polymer Films with Grape Seed and Skin Extracts for Food Packaging
Yavor Ivanov, Tzonka Godjevargova
Microorganisms (2024) Vol. 12, Iss. 7, pp. 1378-1378
Open Access | Times Cited: 6

Application of Artificial Neural Network (ANN) in Ultrasound‐Assisted Extraction of Bioactive Compounds
Sourav Chakraborty, M. R. Das, Tabli Ghosh, et al.
Journal of Food Process Engineering (2025) Vol. 48, Iss. 1
Closed Access

Medicinal plants and trees: methods of extraction and isolation of bioactive compounds with emphasis on some selected African medicinal plants
Eunice Ego Mgbeahuruike, Okenwa Uchenna Igwe, Pia Fyhrqvist
Elsevier eBooks (2025), pp. 233-253
Closed Access

Unlocking Antidiabetic Potential: Novel Compounds from Endophytic Fungi Isolated from Manihot esculenta Crantz Tuberous Roots
K. Nagarajan, Mahisha Devi Chelladurai, Sugumar Mani, et al.
Journal of Molecular Structure (2025), pp. 142083-142083
Closed Access

Implementing Particle Swarm Optimization in Electronic Information Sensing Node Deployment for Smart Sensor Network Energy Optimization
Ali A Ibrahim Alasadi, T. Vijayanandh, Showkat Ahmad Dar, et al.
Journal of Machine and Computing (2025), pp. 1007-1022
Closed Access

Implementation and Enhancement of Endogenous Security Mechanisms in Photovoltaic Data Storage and Transmission
B. Vamsi Krishna, Sathvik Bagam, R Jayasri, et al.
Journal of Machine and Computing (2025), pp. 968-983
Closed Access

Improved Real Time User Interaction in Extended Reality Systems Using the Deployment of Adaptive Intelligent Technologies
Hayder M. A. Ghanimi, Sathvik Bagam, S M Shah, et al.
Journal of Machine and Computing (2025), pp. 933-949
Closed Access

A Machine Learning-Based Video Compression for Effective Video Encoding and Transmission
S. Bairavel, Lakshmi Thangavelu, Praveen Gugulothu, et al.
Journal of Machine and Computing (2025), pp. 956-967
Closed Access

Enhancing Network Security Intrusion Detection and Real-Time Response With Long Short-Term Memory Networks
S. Devi, A. Manju, Lakshmi Thangavelu, et al.
Journal of Machine and Computing (2025), pp. 994-1006
Closed Access

Application of Pulsed Electric Field‐Ultrasound Technique for Antioxidant Extraction from Yarrow: ANFIS Modeling and Evaluation of Antioxidant Activity
Elaheh Razghandi, Amir Hossein Elhami Rad, Seid Mahdi Jafari, et al.
Journal of Food Processing and Preservation (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 3

Application of Machine Learning to Predict Antioxidant Activity of Extract from Ainsliaea Acerifolia
Hyeon Cheol Kim, Si Young Ha, Jae-Kyung Yang
(2024)
Closed Access | Times Cited: 1

A hybrid of RSM, ANFIS, and machine learning algorithm approach for ultrasound-assisted extraction of bioactive compounds from Semecarpus anacardium Linn
M. Vijayalakshmi, Selvaraj Kunjiappan, Akkala Ravindranath, et al.
Separation Science and Technology (2024), pp. 1-19
Closed Access

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