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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:

Neural network in food analytics
Peihua Ma, Zhikun Zhang, Xiaoxue Jia, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 64, Iss. 13, pp. 4059-4077
Closed Access | Times Cited: 22

Showing 22 citing articles:

Machine vision-based colorimetric sensor systems for food applications
Xiaoxue Jia, Peihua Ma, Kevin Tarwa, et al.
Journal of Agriculture and Food Research (2023) Vol. 11, pp. 100503-100503
Open Access | Times Cited: 24
Optimization by artificial neural network and modeling of ultrasound-assisted flavonoid extraction from Phyllanthus emblica L. based on deep eutectic solvents
Xiadi Weng, Yuli Luo, Fei Pan, et al.
Food Bioscience (2025), pp. 105819-105819
Closed Access
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
Haohan Ding, Haoke Hou, Long Wang, et al.
Foods (2025) Vol. 14, Iss. 2, pp. 247-247
Open Access
A Coarse-to-Fine Feature Aggregation Neural Network with a Boundary-Aware Module for Accurate Food Recognition
Shuang Liang, Yu Gu
Foods (2025) Vol. 14, Iss. 3, pp. 383-383
Open Access
Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years
Xuesong Huo, Pu Chen, Jingyan Li, et al.
Applied Spectroscopy Reviews (2023) Vol. 59, Iss. 4, pp. 423-482
Closed Access | Times Cited: 17
Revolutionizing food quality assessment: Unleashing the potential of artificial intelligence for enhancing honey physicochemical, biochemical, and melissopalynological insights
Haroun Chenchouni, Hadda Laallam
Journal of the Saudi Society of Agricultural Sciences (2024) Vol. 23, Iss. 4, pp. 312-325
Open Access | Times Cited: 5
Artificial neural networks for the prediction of mechanical properties of CGNP/PLGA nanocomposites
Mohammad Habeeb, Huay Woon You, Kiran Balasaheb Aher, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 9
Rapid determination of two illegal additives in wheat flour by near-infrared spectroscopy and different key wavelength selection algorithms
Shijie Shi, Junheng Feng, Yingying Ma, et al.
LWT (2023) Vol. 189, pp. 115437-115437
Open Access | Times Cited: 9
Enhancing salmon freshness monitoring with sol-gel cellulose nanocrystal colorimetric paper sensors and deep learning methods
Peihua Ma, Xiaoxue Jia, Wenhao Xu, et al.
Food Bioscience (2023) Vol. 56, pp. 103313-103313
Open Access | Times Cited: 8
Integrating Vision‐Language Models for Accelerated High‐Throughput Nutrition Screening
Peihua Ma, Yixin Wu, Ning Yu, et al.
Advanced Science (2024)
Open Access | Times Cited: 2
Chemometrics and neural networks for estimating the chilling injury severity of kimchi cabbage (Brassica rapa L. ssp. pekinensis) based on hyperspectral images
Ji-Young Choi, Sung‐Hee Park, Mi-Ai Lee, et al.
LWT (2024) Vol. 207, pp. 116601-116601
Open Access | Times Cited: 2
Artificial intelligence in food bioactive peptides screening: Recent advances and future prospects
Ji Yoon Chang, Haitao Wang, Wentao Su, et al.
Trends in Food Science & Technology (2024), pp. 104845-104845
Closed Access | Times Cited: 1
Investigating the usability of a new framework for creating, working and teaching artificial neural networks using augmented reality (AR) and virtual reality (VR) tools
Roland Kiraly, Sándor Király, Martin Palotai
Education and Information Technologies (2023) Vol. 29, Iss. 10, pp. 13085-13104
Open Access | Times Cited: 2
Reduction of Losses and Wastage in Seafoods: The Role of Smart Tools and Biosensors Based on Artificial Intelligence
Christian Larbi Ayisi, Samuel Osei Ayeh
Journal of AI (2024) Vol. 8, Iss. 1, pp. 14-44
Open Access
Identification and detection of frozen-thawed muscle foods based on spectroscopy and machine learning: A review
Zhen Qiu, Xintong Chen, Delang Xie, et al.
Trends in Food Science & Technology (2024), pp. 104797-104797
Closed Access
A Comprehensive Review of Advanced Deep Learning Approaches for Food Freshness Detection
R. N. Singh, C. Nickhil, Nisha Rani, et al.
Food Engineering Reviews (2024)
Closed Access
Recent advances on artificial intelligence-based approaches for food adulteration and fraud detection in the food industry: Challenges and opportunities
Puja Das, Ammar B. Altemimi, Pinku Chandra Nath, et al.
Food Chemistry (2024) Vol. 468, pp. 142439-142439
Closed Access
Assessing the techno-functional and nutritional properties of Aviron winter peas vs. commercial edible varieties for human consumption.
Clara Talens, Saioa Álvarez‐Sabatel, Marcello Alinovi, et al.
Journal of Food Composition and Analysis (2024), pp. 107117-107117
Closed Access
Controlling metabolic stability of food microbiome for stable indigenous liquor fermentation
Vítor A. P. Martins dos Santos, Yuwei Tan, Yang Zhu, et al.
Research Square (Research Square) (2024)
Open Access
Globalizing Food Items Based on Ingredient Consumption
Yukthakiran Matla, Rohith Rao Yannamaneni, George Pappas
Sustainability (2024) Vol. 16, Iss. 17, pp. 7524-7524
Open Access
Regulating microbiome metabolic stability for stable indigenous liquor fermentation
Yuwei Tan, Yang Zhu, René H. Wijffels, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Improving Raisin Grains Classification with a Hybrid PSO-NN Approach
Mahmut Di̇ri̇k
International Conference on Contemporary Academic Research (2023) Vol. 1, pp. 34-41
Open Access | Times Cited: 1
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