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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:

Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits
Necati Çetin, Kevser Karaman, Erhan Kavuncuoğlu, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 230, pp. 104650-104650
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique
Ramazan Hadipour-Rokni, Ezzatollah Askari Asli‐Ardeh, Ahmad Jahanbakhshi, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106611-106611
Closed Access | Times Cited: 60
Soluble solids content monitoring and shelf life analysis of winter jujube at different maturity stages by Vis-NIR hyperspectral imaging
Yuanyuan Shao, Shengheng Ji, Guantao Xuan, et al.
Postharvest Biology and Technology (2024) Vol. 210, pp. 112773-112773
Closed Access | Times Cited: 20
Detection of bruises on red apples using deep learning models
Zeynep Ünal, Тефиде Кизилдениз, Mustafa ÖZDEN, et al.
Scientia Horticulturae (2024) Vol. 329, pp. 113021-113021
Closed Access | Times Cited: 16
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
Mohammad Momeny, Ali Asghar Neshat, Ahmad Jahanbakhshi, et al.
Food Control (2022) Vol. 147, pp. 109554-109554
Closed Access | Times Cited: 47
Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques
Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi
Results in Engineering (2023) Vol. 17, pp. 100891-100891
Open Access | Times Cited: 36
Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review
Md Wadud Ahmed, Sahir Junaid Hossainy, Alin Khaliduzzaman, et al.
Comprehensive Reviews in Food Science and Food Safety (2023) Vol. 22, Iss. 6, pp. 4378-4403
Open Access | Times Cited: 28
Recent advances of application of optical imaging techniques for disease detection in fruits and vegetables: A review
Sudau Eh Teet, Norhashila Hashim
Food Control (2023) Vol. 152, pp. 109849-109849
Closed Access | Times Cited: 25
Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN
Zhiming Guo, Yan Zou, Chanjun Sun, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 6, pp. 4058-4073
Closed Access | Times Cited: 8
Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions
Benjamin Oluwamuyiwa Olorunfemi, Nnamdi Nwulu, Oluwafemi Ayodeji Adebo, et al.
Journal of Agriculture and Food Research (2024) Vol. 16, pp. 101154-101154
Open Access | Times Cited: 8
Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm
Rahim Azadnia, Kamran Kheiralipour
Ecological Informatics (2022) Vol. 71, pp. 101804-101804
Closed Access | Times Cited: 31
Advancement in artificial intelligence for on-farm fruit sorting and transportation
Zheng Zhou, Umair Zahid, Yaqoob Majeed, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 18
Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits
Yiying Zhao, Lei Zhou, Wei Wang, et al.
Food Engineering Reviews (2024) Vol. 16, Iss. 3, pp. 470-496
Closed Access | Times Cited: 5
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 | Times Cited: 5
Automatic Sorting and Grading of Fruits Based on Maturity and Size Using Machine Vision and Artificial Intelligence
Rupa Lalam, K. Lavanya, Vinoda Nadella, et al.
Journal of Scientific Research and Reports (2025) Vol. 31, Iss. 1, pp. 153-163
Open Access
Integrative hyperspectral imaging and artificial intelligence approaches for identifying sucrose substitutes and assessing cookie qualities
Sungmin Jeong, S.-J. Cho, Suyong Lee
LWT (2025), pp. 117412-117412
Open Access
Pixel-level spectral reconstruction and compressed projection based on deep learning in detecting aflatoxin B1
Hongfei Zhu, Yifan Zhao, Longgang Zhao, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110071-110071
Closed Access
Optical Properties of Multilayered Tissues of Different Varieties of Apples and Inspection Models of Internal Quality
Xuan Chen, Chanjun Sun, Usman Majeed, et al.
(2025)
Closed Access
Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops
Salah Elsayed, Hoda Gala, Mohamed S. Abd El-baki, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313397-e0313397
Open Access
Intelligent Grading System for Mangosteen Based on Faster-FRNet: Enhancing Accuracy and Efficiency in Post-Harvest Quality Control
Yinping Zhang, Anis Salwa Mohd Khairuddin, Joon Huang Chuah, et al.
Journal of Food Composition and Analysis (2025), pp. 107394-107394
Closed Access
Sweetpotato moisture content and textural property estimation using hyperspectral imaging and machine learning
Yuting Yang, Nuwan K. Wijewardane, Lorin Harvey, et al.
Journal of Food Measurement & Characterization (2025)
Closed Access
Vision-based strawberry classification using generalized and robust deep networks
Hossein Azizi, Ezzatollah Askari Asli‐Ardeh, Ahmad Jahanbakhshi, et al.
Journal of Agriculture and Food Research (2023) Vol. 15, pp. 100931-100931
Open Access | Times Cited: 11
Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks
Fan Yang, Yuhuan Zhou, Jiayi Du, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 3
Non-destructive discrimination of vacuum-dried banana using image processing operation and machine learning approach
Ewa Ropelewska, Necati Çetin, Seda Günaydın
Food and Bioproducts Processing (2023) Vol. 141, pp. 36-48
Closed Access | Times Cited: 10
Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics
Najmeh Haghbin, Adel Bakhshipour, Hemad Zareiforoush, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 9
Artificial intelligence in postharvest agriculture: mapping a research agenda
Tobi Fadiji, Tebogo Bokaba, Olaniyi Amos Fawole, et al.
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 9
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