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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:

Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety
Hui Huang, Li Liu, Michael Ngadi
Sensors (2014) Vol. 14, Iss. 4, pp. 7248-7276
Open Access | Times Cited: 302

Showing 1-25 of 302 citing articles:

A review of vibrational spectroscopic techniques for the detection of food authenticity and adulteration
Santosh Lohumi, Sang‐Dae Lee, Hoonsoo Lee, et al.
Trends in Food Science & Technology (2015) Vol. 46, Iss. 1, pp. 85-98
Closed Access | Times Cited: 431
Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
Nicola Caporaso, Martin B. Whitworth, Ian D. Fisk
Applied Spectroscopy Reviews (2018) Vol. 53, Iss. 8, pp. 667-687
Open Access | Times Cited: 184
Enhancing Food Integrity through Artificial Intelligence and Machine Learning: A Comprehensive Review
Sefater Gbashi, Patrick Berka Njobeh
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3421-3421
Open Access | Times Cited: 18
Leveraging Image Analysis for High-Throughput Plant Phenotyping
Sruti Das Choudhury, Ashok Samal, Tala Awada
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 145
Near-infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds
Lalit Mohan Kandpal, Santosh Lohumi, Moon S. Kim, et al.
Sensors and Actuators B Chemical (2016) Vol. 229, pp. 534-544
Closed Access | Times Cited: 142
Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms
Y. X. Feng, Da‐Wen Sun
Talanta (2012) Vol. 105, pp. 244-249
Closed Access | Times Cited: 140
Use of spectroscopic methods in combination with linear discriminant analysis for authentication of food products
Mahnaz Esteki, Zahra Shahsavari, Jesús Simal‐Gándara
Food Control (2018) Vol. 91, pp. 100-112
Closed Access | Times Cited: 140
Penetration depth of photons in biological tissues from hyperspectral imaging in shortwave infrared in transmission and reflection geometries
Hairong Zhang, Daniel Salo, David M. Kim, et al.
Journal of Biomedical Optics (2016) Vol. 21, Iss. 12, pp. 126006-126006
Open Access | Times Cited: 135
Recent development in the application of analytical techniques for the traceability and authenticity of food of plant origin
Syed Abdul Wadood, Boli Guo, Xiaowen Zhang, et al.
Microchemical Journal (2019) Vol. 152, pp. 104295-104295
Closed Access | Times Cited: 128
Status and application of advanced airborne hyperspectral imaging technology: A review
Jianxin Jia, Yueming Wang, Jinsong Chen, et al.
Infrared Physics & Technology (2019) Vol. 104, pp. 103115-103115
Closed Access | Times Cited: 116
Rapid assessment of corn seed viability using short wave infrared line-scan hyperspectral imaging and chemometrics
Collins Wakholi, Lalit Mohan Kandpal, Hoonsoo Lee, et al.
Sensors and Actuators B Chemical (2017) Vol. 255, pp. 498-507
Closed Access | Times Cited: 113
Applying hyperspectral imaging to explore natural plant diversity towards improving salt stress tolerance
Oksana Sytar, Marián Brestič, Marek Živčák, et al.
The Science of The Total Environment (2016) Vol. 578, pp. 90-99
Closed Access | Times Cited: 108
Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging
Nik Susič, Uroš Žibrat, S. Širca, et al.
Sensors and Actuators B Chemical (2018) Vol. 273, pp. 842-852
Open Access | Times Cited: 106
Noncontact evaluation of soluble solids content in apples by near-infrared hyperspectral imaging
Te Ma, Xinze Li, Tetsuya Inagaki, et al.
Journal of Food Engineering (2017) Vol. 224, pp. 53-61
Closed Access | Times Cited: 94
Recent development of HS-GC-IMS technology in rapid and non-destructive detection of quality and contamination in agri-food products
Shuang Gu, Jing Zhang, Jun Wang, et al.
TrAC Trends in Analytical Chemistry (2021) Vol. 144, pp. 116435-116435
Closed Access | Times Cited: 93
Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN
Qian Huang, Wei Li, Baochang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 160-170
Closed Access | Times Cited: 86
Application of hyperspectral imaging technology in the rapid identification of microplastics in farmland soil
Wenjie Ai, Shulin Liu, Hongping Liao, et al.
The Science of The Total Environment (2021) Vol. 807, pp. 151030-151030
Closed Access | Times Cited: 74
The Applications of Hyperspectral Imaging Technology for Agricultural Products Quality Analysis: A Review
Bao Wang, Jianfei Sun, Lianming Xia, et al.
Food Reviews International (2021) Vol. 39, Iss. 2, pp. 1043-1062
Closed Access | Times Cited: 57
Recent advances in muscle food safety evaluation: Hyperspectral imaging analyses and applications
Hongbin Pu, Qingyi Wei, Da‐Wen Sun
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 10, pp. 1297-1313
Closed Access | Times Cited: 43
Detection of saffron adulteration with Crocus sativus style using NIR-hyperspectral imaging and chemometrics
Derick Malavi, Amin Nikkhah, Pejman Alighaleh, et al.
Food Control (2023) Vol. 157, pp. 110189-110189
Open Access | Times Cited: 35
Prediction of soluble solid content in Nanfeng mandarin by combining hyperspectral imaging and effective wavelength selection
Wei Luo, Jing Zhang, Shilin Liu, et al.
Journal of Food Composition and Analysis (2023) Vol. 126, pp. 105939-105939
Closed Access | Times Cited: 35
Applications of hyperspectral imaging in meat tenderness detection: Current research and potential for digital twin technology
Christopher Kucha, Ebenezer O. Olaniyi
Food Bioscience (2024) Vol. 58, pp. 103754-103754
Closed Access | Times Cited: 11
Portable Optical Instrument for Detection and Quantification of Milk Adulteration: A Study on Mixtures from different Species and Water Dilution
Cristina Allende-Prieto, Lucía Fernández, Pablo Rodríguez‐Gonzálvez, et al.
International Dairy Journal (2025), pp. 106186-106186
Closed Access | Times Cited: 1
Application of Hyperspectral Imaging and Deep Convolutional Neural Network for Freezing Damage Identification on Embryo and Endosperm Side of Single Corn Seed
Jun Zhang, Limin Dai
Foods (2025) Vol. 14, Iss. 4, pp. 659-659
Open Access | Times Cited: 1
Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications
Jianwei Qin, Moon Il Kim, Kuanglin Chao, et al.
Applied Sciences (2017) Vol. 7, Iss. 2, pp. 125-125
Open Access | Times Cited: 78
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