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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:

Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis
Naveen Kumar Mahanti, R. Pandiselvam, Anjineyulu Kothakota, et al.
Trends in Food Science & Technology (2021) Vol. 120, pp. 418-438
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Food quality 4.0: From traditional approaches to digitalized automated analysis
Abdo Hassoun, Sandeep Jagtap, Guillermo Garcia‐Garcia, et al.
Journal of Food Engineering (2022) Vol. 337, pp. 111216-111216
Open Access | Times Cited: 116
Mechanical damage of fresh produce in postharvest transportation: Current status and future prospects
Mai Al‐Dairi, Pankaj B. Pathare, Rashid Al‐Yahyai, et al.
Trends in Food Science & Technology (2022) Vol. 124, pp. 195-207
Closed Access | Times Cited: 89
Effect of germ orientation during Vis-NIR hyperspectral imaging for the detection of fungal contamination in maize kernel using PLS-DA, ANN and 1D-CNN modelling
Shekh Mukhtar Mansuri, Subir Kumar Chakraborty, Naveen Kumar Mahanti, et al.
Food Control (2022) Vol. 139, pp. 109077-109077
Closed Access | Times Cited: 69
An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend
Mengwen Mei, Jiangbo Li
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108195-108195
Closed Access | Times Cited: 43
A comprehensive review of external quality measurements of fruits and vegetables using nondestructive sensing technologies
Tanjima Akter, Tanima Bhattacharya, Junghyeon Kim, et al.
Journal of Agriculture and Food Research (2024) Vol. 15, pp. 101068-101068
Open Access | Times Cited: 17
AI-based object detection latest trends in remote sensing, multimedia and agriculture applications
Saqib Ali Nawaz, Jingbing Li, Uzair Aslam Bhatti, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 45
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: 28
Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning
Jean Frederic Isingizwe Nturambirwe, Eslam A. Hussein, M. Vaccari, et al.
Foods (2023) Vol. 12, Iss. 1, pp. 210-210
Open Access | Times Cited: 24
Application of chitosan in fruit preservation: A review
Jingjing Wang, Yuning Yuan, Yu Liu, et al.
Food Chemistry X (2024) Vol. 23, pp. 101589-101589
Open Access | Times Cited: 14
Three-dimensional visualization and detection of early bruise in apple based on near-infrared hyperspectral imaging coupled with geometrical influence correction
Bin Li, Te Ma, Leshang Bai, et al.
Postharvest Biology and Technology (2024) Vol. 210, pp. 112753-112753
Closed Access | Times Cited: 8
Non-Destructive Sweetness Classification of Khao Tang Kwa Pomelos Using Machine Learning with Acoustic and Image Processing
Tanthai Sarakum, Somboon Sukpancharoen
Journal of Food Composition and Analysis (2025) Vol. 142, pp. 107385-107385
Closed Access | Times Cited: 1
Emerging Approach for Fish Freshness Evaluation: Principle, Application and Challenges
Zhepeng Zhang, Ying Sun, Shangyuan Sang, et al.
Foods (2022) Vol. 11, Iss. 13, pp. 1897-1897
Open Access | Times Cited: 34
Establishment of a multi-position general model for evaluation of watercore and soluble solid content in ‘Fuji’ apples using on-line full-transmittance visible and near infrared spectroscopy
Jiangbo Li, Yifei Zhang, Qian Zhang, et al.
Journal of Food Composition and Analysis (2023) Vol. 117, pp. 105150-105150
Closed Access | Times Cited: 20
Feature construction methods for processing and analysing spectral images and their applications in food quality inspection
Hongbin Pu, Jingxiao Yu, Da‐Wen Sun, et al.
Trends in Food Science & Technology (2023) Vol. 138, pp. 726-737
Open Access | Times Cited: 18
Identification of early decayed oranges using structured-illumination reflectance imaging coupled with fast demodulation and improved image processing algorithms
Jiangbo Li, Yuzhen Lu, Renfu Lu
Postharvest Biology and Technology (2023) Vol. 207, pp. 112627-112627
Closed Access | Times Cited: 18
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 7
In-field grading and sorting technology of apples: A state-of-the-art review
Jiangfan Yu, Zhao Zhang, Yifei Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109383-109383
Closed Access | Times Cited: 7
A high-precision jujube disease spot detection based on SSD during the sorting process
Zhi-Ben Yin, Fuyong Liu, Hui Geng, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296314-e0296314
Open Access | Times Cited: 6
A Review on Automated Detection and Assessment of Fruit Damage Using Machine Learning
Yonasi Safari, Joyce Nakatumba‐Nabende, Rose Nakasi, et al.
IEEE Access (2024) Vol. 12, pp. 21358-21381
Open Access | Times Cited: 6
A comprehensive review on recent advances in postharvest treatment, storage, and quality evaluation of onion (Allium cepa): Current status, and challenges
Patil Rajvardhan Kiran, Pramod Aradwad, T. V. Arun Kumar, et al.
Future Postharvest and Food (2024) Vol. 1, Iss. 1, pp. 124-157
Open Access | Times Cited: 6
Quality Assessment of Dried White Mulberry (Morus alba L.) Using Machine Vision
Adel Hosainpour, Kamran Kheiralipour, Mohammad Nadimi, et al.
Horticulturae (2022) Vol. 8, Iss. 11, pp. 1011-1011
Open Access | Times Cited: 27
Intelligent detection for fresh‐cut fruit and vegetable processing: Imaging technology
Tiantian Tang, Min Zhang, Arun S. Mujumdar
Comprehensive Reviews in Food Science and Food Safety (2022) Vol. 21, Iss. 6, pp. 5171-5198
Closed Access | Times Cited: 23
Improvement of a flexible multimode pressure-strain sensor (FMPSS) for blueberry firmness tactile sensing and tamper-evident packaging
Wentao Huang, Jie Xia, Nuo Li, et al.
Food Control (2023) Vol. 156, pp. 110129-110129
Closed Access | Times Cited: 15
Location of seed spoilage in mango fruit using X-ray imaging and convolutional neural networks
Francisca Aba Ansah, Mark Amo-Boateng, Ebenezer K. Siabi, et al.
Scientific African (2023) Vol. 20, pp. e01649-e01649
Open Access | Times Cited: 14
Nondestructive internal disorders detection of ‘Braeburn’ apple fruit by X-ray dark-field imaging and machine learning
Jiaqi He, Leen Van Doorselaer, Astrid Tempelaere, et al.
Postharvest Biology and Technology (2024) Vol. 214, pp. 112981-112981
Closed Access | Times Cited: 5
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