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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:

Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning
Ahmad Jahanbakhshi, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104764-104764
Closed Access | Times Cited: 53

Showing 1-25 of 53 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
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
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, et al.
Ecological Informatics (2022) Vol. 71, pp. 101829-101829
Closed Access | Times Cited: 50
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
Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system
Rahim Azadnia, Ahmad Jahanbakhshi, Shima Rashidi, et al.
Measurement (2022) Vol. 190, pp. 110669-110669
Closed Access | Times Cited: 44
Soybean disease identification using original field images and transfer learning with convolutional neural networks
Noah Bevers, Edward J. Sikora, Nate B. Hardy
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107449-107449
Closed Access | Times Cited: 41
Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics
Dai-Xin Yu, Sheng Guo, Xia Zhang, et al.
Food Chemistry X (2022) Vol. 15, pp. 100450-100450
Open Access | Times Cited: 39
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, et al.
Journal of Computational Science (2022) Vol. 63, pp. 101763-101763
Open Access | Times Cited: 37
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
A comprehensive systematic review and bibliometric analysis of food fraud from a global perspective
Richard Kwasi Bannor, Kingsley Kofi Arthur, Dixon Oppong, et al.
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100686-100686
Open Access | Times Cited: 33
Rapid quality evaluation and geographical origin recognition of ginger powder by portable NIRS in tandem with chemometrics
Rui Chen, Shaoqun Li, Huijuan Cao, et al.
Food Chemistry (2023) Vol. 438, pp. 137931-137931
Closed Access | Times Cited: 24
Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks
Rahim Azadnia, Faramarz Noei-Khodabadi, Azad Moloudzadeh, et al.
Ecological Informatics (2024) Vol. 82, pp. 102683-102683
Open Access | Times Cited: 7
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
Combining stable isotope, multielement and untargeted metabolomics with chemometrics to discriminate the geographical origins of ginger (Zingiber officinale Roscoe)
Dai-Xin Yu, Sheng Guo, Xia Zhang, et al.
Food Chemistry (2023) Vol. 426, pp. 136577-136577
Closed Access | Times Cited: 19
Chicanery in the food supply chain! Food fraud, mitigation, and research needs in low-income countries
Willis Gwenzi, Zakio Makuvara, Jerikias Marumure, et al.
Trends in Food Science & Technology (2023) Vol. 136, pp. 194-223
Closed Access | Times Cited: 18
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation
Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, et al.
Displays (2023) Vol. 76, pp. 102371-102371
Open Access | Times Cited: 17
Spice and Herb Frauds: Types, Incidence, and Detection: The State of the Art
Rocío Velázquez, Alicia Rodríguez, Alejandro Hernández, et al.
Foods (2023) Vol. 12, Iss. 18, pp. 3373-3373
Open Access | Times Cited: 16
Ability of visible imaging and machine learning in detection of chickpea flour adulterant in original cinnamon and pepper powders
Mohammad Hossein Nargesi, Kamran Kheiralipour
Heliyon (2024) Vol. 10, Iss. 16, pp. e35944-e35944
Open Access | Times Cited: 5
Detection of Wheat, Chickpea, and Sea Foam in Black Pepper Using Hyperspectral Imaging Technique
Mohamad Hossein Nargesi, Kamran Kheiralipour, jafar amiriparian
(2025)
Closed Access
Rapid classification and quantification of Euryales semen (Euryale ferox Salisb.) from different origins and varieties using multispectral fingerprints combined with machine learning methods
Dai-Xin Yu, Caiyan Dai, Cheng Qu, et al.
Journal of Food Composition and Analysis (2025) Vol. 140, pp. 107239-107239
Closed Access
A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef
Leila Bahmani, Saied Minaei, Alireza Mahdavian, et al.
Sensing and Bio-Sensing Research (2025), pp. 100774-100774
Open Access
Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
Mohammad Momeny, Ali Asghar Neshat, Abdolmajid Gholizadeh, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105175-105175
Closed Access | Times Cited: 34
Detection of small foreign objects in Pu-erh sun-dried green tea: An enhanced YOLOv8 neural network model based on deep Learning
Zejun Wang, Shihao Zhang, Yaping Chen, et al.
Food Control (2024), pp. 110890-110890
Closed Access | Times Cited: 4
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 comparative experimental study on the prediction of renewable oils properties using RGB and HSV Image Processing techniques
Aditya Kolakoti, Ruthvik Chandramouli
Petroleum Research (2025)
Open Access
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