Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data
Razieh Pourdarbani, Sajad Sabzi, Davood Kalantari, et al.
Biosystems Engineering (2020) Vol. 195, pp. 136-151
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review
Yunchao Tang, Jiajun Qiu, Yunqi Zhang, et al.
Precision Agriculture (2023) Vol. 24, Iss. 4, pp. 1183-1219
Closed Access | Times Cited: 92
Flexible Vis/NIR wireless sensing system for banana monitoring
Meng Wang, Bingbing Wang, Ruihua Zhang, et al.
Food Quality and Safety (2023) Vol. 7
Open Access | Times Cited: 45
Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review
R. Pandiselvam, V. Prithviraj, M. R. Manikantan, et al.
Frontiers in Nutrition (2022) Vol. 9
Open Access | Times Cited: 39
Soluble solid content and firmness index assessment and maturity discrimination of Malus micromalus Makino based on near-infrared hyperspectral imaging
Qiang Gao, Peng Wang, Tong Niu, et al.
Food Chemistry (2021) Vol. 370, pp. 131013-131013
Closed Access | Times Cited: 42
Non-Destructive Measurement of Quality Parameters of Apple Fruit by Using Visible/Near-Infrared Spectroscopy and Multivariate Regression Analysis
Behzad Hasanzadeh, Yousef Abbaspour‐Gilandeh, Araz Soltani-Nazarloo, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 14918-14918
Open Access | Times Cited: 38
Vis/NIR optical biosensors applications for fruit monitoring
Meng Wang, Yuanna Xu, Yunyue Yang, et al.
Biosensors and Bioelectronics X (2022) Vol. 11, pp. 100197-100197
Open Access | Times Cited: 36
Non-Destructive Estimation of Physicochemical Properties and Detection of Ripeness Level of Apples Using Machine Vision
Sajad Sabzi, Mohammad Nadimi, Yousef Abbaspour‐Gilandeh, et al.
International Journal of Fruit Science (2022) Vol. 22, Iss. 1, pp. 628-645
Open Access | Times Cited: 33
Dynamic Nondestructive Detection Models of Apple Quality in Critical Harvest Period Based on Near-Infrared Spectroscopy and Intelligent Algorithms
Zhiming Guo, Xuan Chen, Yiyin Zhang, et al.
Foods (2024) Vol. 13, Iss. 11, pp. 1698-1698
Open Access | Times Cited: 7
A Vis/NIR device for detecting moldy apple cores using spectral shape features
Haoling Liu, Ziyuan Wei, Miao Lu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108898-108898
Closed Access | Times Cited: 6
Determination of bagged ‘Fuji’ apple maturity by visible and near-infrared spectroscopy combined with a machine learning algorithm
Mengsheng Zhang, Bo Zhang, Hao Li, et al.
Infrared Physics & Technology (2020) Vol. 111, pp. 103529-103529
Closed Access | Times Cited: 47
Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions
Sajad Sabzi, Razieh Pourdarbani, Mohammad Hossein Rohban, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 217, pp. 104404-104404
Open Access | Times Cited: 40
A comparative analysis of the discrimination of pepper (Capsicum annuum L.) based on the cross‐section and seed textures determined using image processing
Ewa Ropelewska, Justyna Szwejda‐Grzybowska
Journal of Food Process Engineering (2021) Vol. 44, Iss. 6
Closed Access | Times Cited: 35
Development of an Intelligent Imaging System for Ripeness Determination of Wild Pistachios
Kamran Kheiralipour, Mohammad Nadimi, Jitendra Paliwal
Sensors (2022) Vol. 22, Iss. 19, pp. 7134-7134
Open Access | Times Cited: 28
Online measurement of carambola (Averrhoa carambola L.) physicochemical properties and estimation of maturity stages using a portable NIR spectrometer
Ingrid Alves de Moraes, J.P. Cruz‐Tirado, Douglas Fernandes Barbin
Scientia Horticulturae (2022) Vol. 304, pp. 111263-111263
Closed Access | Times Cited: 26
Flexible sensing enabled intelligent manipulator system (FSIMS) for avocados (Persea Americana Mill) ripeness grading
Junchang Zhang, Xuepei Wang, Jie Xia, et al.
Journal of Cleaner Production (2022) Vol. 363, pp. 132599-132599
Closed Access | Times Cited: 23
Influence of Lighting Pattern and Sample Positioning on Detection of Moldy Core Disease in Apples by NIR Spectroscopy
Hung‐Wing Li, Nan Xiao, Tong Sun, et al.
Food and Bioprocess Technology (2024) Vol. 17, Iss. 12, pp. 5221-5241
Closed Access | Times Cited: 5
Quality grading method for Pleurotus eryngii during postharvest storage based on hyperspectral imaging and multiple quality indicators
Ziyuan Wei, Haoling Liu, Jinghua Xu, et al.
Food Control (2024) Vol. 166, pp. 110763-110763
Closed Access | Times Cited: 4
Smart classification of organic and inorganic pineapple juice using dual NIR spectrometers combined with chemometric techniques
Francis Padi Lamptey, Charles Lloyd Yeboah Amuah, Vida Gyimah Boadu, et al.
Applied Food Research (2024) Vol. 4, Iss. 2, pp. 100471-100471
Open Access | Times Cited: 4
Rapid Identification of Apple Maturity Based on Multispectral Sensor Combined with Spectral Shape Features
Mengsheng Zhang, Maosheng Shen, Yuge Pu, et al.
Horticulturae (2022) Vol. 8, Iss. 5, pp. 361-361
Open Access | Times Cited: 17
Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data
Razieh Pourdarbani, Sajad Sabzi, Juan Ignacio Arribas
Heliyon (2021) Vol. 7, Iss. 9, pp. e07942-e07942
Open Access | Times Cited: 22
Ripeness Prediction in Table Grape Cultivars by Using a Portable NIR Device
Giuseppe Ferrara, Valerio Marcotuli, Angelo Didonna, et al.
Horticulturae (2022) Vol. 8, Iss. 7, pp. 613-613
Open Access | Times Cited: 15
Exploring the use of Near-infrared spectroscopy as a tool to predict quality attributes in prickly pear (Rosa roxburghii Tratt) with chemometrics variable strategy
Fangyuan Zhao, Guorong Du, Yue Huang
Journal of Food Composition and Analysis (2021) Vol. 105, pp. 104225-104225
Closed Access | Times Cited: 20
Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm
Sajad Sabzi, Razieh Pourdarbani, Mohammad Hossein Rohban, et al.
Agronomy (2021) Vol. 11, Iss. 3, pp. 575-575
Open Access | Times Cited: 19
Impact of Bacterial Cellulose Nanocrystals-Gelatin/Cinnamon Essential Oil Emulsion Coatings on the Quality Attributes of ‘Red Delicious’ Apples
Mahsa Sadat Razavi, Abdollah Golmohammadi, Ali Nematollahzadeh, et al.
Coatings (2022) Vol. 12, Iss. 6, pp. 741-741
Open Access | Times Cited: 13
Research Progress on Non-Destructive Detection of Internal Quality of Fruits with Large Size and Thick Peel: A Review
H. Wang, Mengwen Mei, Jiangbo Li
Agriculture (2023) Vol. 13, Iss. 9, pp. 1838-1838
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top