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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:

Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
R. K. Goyal, Poonam Singha, Sushil Kumar Singh
Trends in Food Science & Technology (2024) Vol. 146, pp. 104377-104377
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Characterization and exploration of dynamic variation of volatile compounds in vine tea during processing by GC-IMS and HS-SPME/GC–MS combined with machine learning algorithm
Qianqian Li, Chaoyang Zhang, Wei Liu, et al.
Food Chemistry (2024) Vol. 460, pp. 140580-140580
Closed Access | Times Cited: 7
Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning
Zhengyong Zhang, Jun-wei Su, Huan‐Ming Xiong
Molecules (2025) Vol. 30, Iss. 2, pp. 239-239
Open Access
Integrated colorimetric sensor array with outlier detection and feature selection to detect adulterated camellia oil
Dapeng Li, Ke Jiang, Gan Yang, et al.
Microchemical Journal (2025), pp. 112741-112741
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
NMR spectroscopy combined with chemometrics for quality assessment of common vegetable oils: A review
Tao Shi, Tenghui Dai, Tao Zhang, et al.
Trends in Food Science & Technology (2025), pp. 104889-104889
Closed Access
The classification, detection and ‘SMART’ control of the nine sins of tea fraud
Y.F. Li, Christopher T. Elliott, Awanwee Petchkongkaew, et al.
Trends in Food Science & Technology (2024) Vol. 149, pp. 104565-104565
Open Access | Times Cited: 5
Exploring molecular mechanisms underlying changes in lipid fingerprinting of salmon (Salmo salar) during air frying integrating machine learning-guided REIMS and lipidomics analysis
Gongshuai Song, Mingwei Zeng, Shengjun Chen, et al.
Food Chemistry (2024) Vol. 460, pp. 140770-140770
Closed Access | Times Cited: 5
Classification of different wheat flour types using hyperspectral imaging and machine learning techniques
Mohammad Hossein Nargesi, Kamran Kheiralipour, Digvir S. Jayas
Infrared Physics & Technology (2024) Vol. 142, pp. 105520-105520
Closed Access | Times Cited: 4
Advancements in sustainable food packaging: A comprehensive review on utilization of nanomaterials, machine learning and deep learning
Pratik Madhukar Gorde, Dibya Ranjan Dash, Sushil Kumar Singh, et al.
Sustainable Chemistry and Pharmacy (2024) Vol. 39, pp. 101619-101619
Closed Access | Times Cited: 2
Rapid quantitative and qualitative analysis of talcum powder in wheat flour by microwave detection combined with multivariate analysis
Leijun Xu, Zhenshuo Chen, Jihong Deng, et al.
Microchemical Journal (2024) Vol. 204, pp. 111125-111125
Closed Access | Times Cited: 2
Detecting Starch-Adulterated Turmeric Using Vis-NIR Spectroscopy and Multispectral Imaging with Machine Learning
Madhusudan G. Lanjewar, Satyam S. Asolkar, Jivan S. Parab, et al.
Journal of Food Composition and Analysis (2024) Vol. 136, pp. 106700-106700
Closed Access | Times Cited: 2
Fluorescence hyperspectral imaging technology combined with chemometrics for kiwifruit quality attribute assessment and non-destructive judgment of maturity
Zhiyong Zou, Qianlong Wang, Qing‐Song Wu, et al.
Talanta (2024) Vol. 280, pp. 126793-126793
Closed Access | Times Cited: 2
Safeguarding Public Health: Advanced Detection of Food Adulteration Using Nanoparticle-Based Sensors
Muthu Thiruvengadam, Jung Tae Kim∥, Won-Ryeol Kim, et al.
Critical Reviews in Analytical Chemistry (2024), pp. 1-21
Closed Access | Times Cited: 2
Detection of Sheep Butter Adulteration with Cow Butter and Margarine by Employing Raman Spectroscopy and Multivariate Data Analysis
Elaheh Forooghi, Somaye Vali Zade, Behrooz Jannat, et al.
International Dairy Journal (2024) Vol. 157, pp. 106010-106010
Closed Access | Times Cited: 1
On the textile fibre’s analysis for forensics, utilizing FTIR spectroscopy and machine learning methods
Vishal Sharma, M. Bashir Mahara, Akanksha Sharma
Forensic Chemistry (2024) Vol. 39, pp. 100576-100576
Closed Access | Times Cited: 1
Intelligent Manufacturing Challenges and Directions of the Baijiu Starter Culture-Daqu Industry: Microbiome and Engineering Perspectives
Yi Luo, Liming Wu, Mengyao Wu, et al.
Trends in Food Science & Technology (2024) Vol. 153, pp. 104724-104724
Closed Access | Times Cited: 1
Food design using biopolymers
Nevetha Ravindran, Poonam Singha, Sushil Kumar Singh
Elsevier eBooks (2024), pp. 41-61
Closed Access
Nanovehicles for essential polyunsaturated lipids
Nevetha Ravindran, Sushil Kumar Singh, Poonam Singha
Elsevier eBooks (2024), pp. 291-307
Closed Access
Hybrid wavelength selection strategy combined with ATR-FTIR spectroscopy for preliminary exploration of vintage labeling traceability of sauce-flavor baijiu
Rui Zhou, Xiaohong Chen, Defu Xu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 321, pp. 124691-124691
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
Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety
Mehrad Nikzadfar, Mahdi Rashvand, Hongwei Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9821-9821
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
Detection Technologies, and Machine Learning in Food: Recent Advances and Future Trends
Qiong He, Heng-Yu Huang, Yuanzhong Wang
Food Bioscience (2024), pp. 105558-105558
Closed Access
Deep learning-assisted fluorescence spectroscopy for food quality and safety analysis
Yuan Yuan, Zengtao Ji, Yanwei Fan, et al.
Trends in Food Science & Technology (2024), pp. 104821-104821
Closed Access
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