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:

Deep learning in food authenticity: Recent advances and future trends
Zhuowen Deng, Tao Wang, Yun Zheng, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104344-104344
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
Binbin Hu, Yaodan Dai, Haidong Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134865-134865
Closed Access | Times Cited: 12

Quantitative predictions of protein and total flavonoids content in Tartary and common buckwheat using near-infrared spectroscopy and chemometrics
Yue Yu, Yinghui Chai, Zhoutao Li, et al.
Food Chemistry (2024) Vol. 462, pp. 141033-141033
Closed Access | Times Cited: 6

Functional microbiome assembly in food environments: addressing sustainable development challenges
Yao Gu, Tingting Liu, Waleed AL‐Ansi, et al.
Comprehensive Reviews in Food Science and Food Safety (2025) Vol. 24, Iss. 1
Closed Access

Developing a fast Fourier Transform Infrared Spectroscopy System for Precise and Reliable Grade Differentiation of Gastrodia elata
S. T. Lin, Zhongfan Liu, H. Qin, et al.
Vibrational Spectroscopy (2025), pp. 103769-103769
Closed Access

Detection of camellia oil adulteration based on near-infrared spectroscopy and smartphone combined with deep learning and multimodal fusion
Zhuowen Deng, Yun Zheng, Lan Tao, et al.
Food Chemistry (2025) Vol. 472, pp. 142930-142930
Closed Access

Adulteration Detection in Cactus Seed Oil: Integrating Analytical Chemistry and Machine Learning Approaches
Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, et al.
Current Research in Food Science (2025), pp. 100986-100986
Open Access

A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access

Smartphone video imaging: A versatile, low-cost technology for food authentication
Weiran Song, Hui Wang, Yong‐Huan Yun
Food Chemistry (2024) Vol. 462, pp. 140911-140911
Closed Access | Times Cited: 3

Rapid determination of geographical authenticity of Gastrodia elata f. glauca using Fourier transform infrared spectroscopy and deep learning
Guangmei Deng, Jieqing Li, Honggao Liu, et al.
Food Control (2024) Vol. 167, pp. 110810-110810
Closed Access | Times Cited: 2

Improvement in the Forecasting of Low Visibility over Guizhou, China, Based on a Multi-Variable Deep Learning Model
Dongpo He, Yuetong Wang, Yuanzhi Tang, et al.
Atmosphere (2024) Vol. 15, Iss. 7, pp. 752-752
Open Access | Times Cited: 1

Decentralized food safety and authentication on cellulose paper‐based analytical platform: A review
An Du, Zhaoqing Lu, Hua Li
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 5
Closed Access | Times Cited: 1

Fruits and vegetables preservation based on AI technology: Research progress and application prospects
Dianyuan Wang, Min Zhang, Min Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109382-109382
Closed Access | Times Cited: 1

Evaluation of microbial and organic metabolite characteristics in fermented tobacco from different grades by comprehensive microbiomes and chemometrics analysis
Mingzhu Zhang, Dongfeng Guo, Haiqing Wang, et al.
Industrial Crops and Products (2024) Vol. 222, pp. 119706-119706
Closed Access | Times Cited: 1

Machine vision combined with deep learning–based approaches for food authentication: An integrative review and new insights
Che Shen, Ran Wang, Hira Nawazish, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 6
Closed Access | Times Cited: 1

Identification and crude protein prediction of porcini mushrooms via deep learning-assisted FTIR fingerprinting
Chuanmao Zheng, Honggao Liu, Jieqing Li, et al.
LWT (2024), pp. 117101-117101
Open Access | Times Cited: 1

An Improved Ensemble Learning Method for Protein Content Analysis of Corn with Small Sample by Near-Infrared Spectroscopy
Jing Liu, Shaohui Yu
Food Analytical Methods (2024) Vol. 17, Iss. 9, pp. 1383-1392
Closed Access

Machine learning-based prediction model for the yield of nitrogen-enriched biomass pyrolysis products: Performance evaluation and interpretability analysis
Dongmei Bi, Hui Wang, Yinjiao Liu, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 182, pp. 106723-106723
Closed Access

Elemental tracer determination and modeling for geographical origin designation of sweet oranges
Melisa J. Hidalgo, Michael Pérez-Rodríguez, José E. Gaiad, et al.
Journal of Agriculture and Food Research (2024) Vol. 18, pp. 101386-101386
Open Access

Application of machine vision in food computing: A review
Zhiyao Zhao, Rong Wang, Minghao Liu, et al.
Food Chemistry (2024) Vol. 463, pp. 141238-141238
Closed Access

From farm to market: research progress and application prospects of artificial intelligence in the frozen fruits and vegetables supply chain
Linyu Zhang, Min Zhang, Arun S. Mujumdar, et al.
Trends in Food Science & Technology (2024), pp. 104730-104730
Closed Access

Real-Time Detection and Localization of Weeds in Dictamnus dasycarpus Fields for Laser-Based Weeding Control
Yanlei Xu, Zehao Liu, Jian Li, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2363-2363
Open Access

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