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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:

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

Showing 1-25 of 44 citing articles:

Deep learning based computer vision approaches for smart agricultural applications
V. G. Dhanya, A. Subeesh, Nand Lal Kushwaha, et al.
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 211-229
Open Access | Times Cited: 150
A review of deep learning techniques used in agriculture
Ishana Attri, Lalit Kumar Awasthi, Teek Parval Sharma, et al.
Ecological Informatics (2023) Vol. 77, pp. 102217-102217
Closed Access | Times Cited: 121
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
Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques
Sadia Sabrin Nodi, Manoranjan Paul, Nathan Robinson, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 287-287
Open Access | Times Cited: 1
An AI Based Approach for Medicinal Plant Identification Using Deep CNN Based on Global Average Pooling
Rahim Azadnia, Mohammed Maitham Al-Amidi, Hamed Mohammadi, et al.
Agronomy (2022) Vol. 12, Iss. 11, pp. 2723-2723
Open Access | Times Cited: 48
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
Computer Vision-Based Smart Monitoring and Control System for Crop
Ajay Sharma, Rajneesh Kumar Patel, Pranshu Pranjal, et al.
(2024), pp. 65-82
Closed Access | Times Cited: 12
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
Combination of effective color information and machine learning for rapid prediction of soil water content
Liu Guan-shi, Shengkui Tian, Guofang Xu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 9, pp. 2441-2457
Open 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
Convolutional neural network prediction of the particle size distribution of soil from close-range images
Enrico Soranzo, Carlotta Guardiani, Wei Wu
SOILS AND FOUNDATIONS (2025) Vol. 65, Iss. 1, pp. 101575-101575
Open Access
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
Yean‐Der Kuan, K. M. Goh, Lee‐Ling Lim
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110401-110401
Closed Access
Determination of F v / F m from Chlorophyll a Fluorescence without Dark Adaptation by an LSSVM Model
Qian Xia, Hao Tang, Lijiang Fu, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 15
Vision-based in-situ process monitoring for increased productivity in abrasive waterjet trepanning
C. K. Datta, Rajesh Ravi, D.S. Srinivasu
Procedia Computer Science (2025) Vol. 253, pp. 2086-2095
Open Access
Concentration inversion method for in-situ CO2 measurement based on a Fourier kernel convolutional neural network
Aoxue Cai, Goo Jun, Ying He, et al.
Measurement (2025), pp. 117204-117204
Closed Access
Applications of machine learning and deep learning in agriculture: A comprehensive review
Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, et al.
Green Technologies and Sustainability (2025), pp. 100199-100199
Open Access
Water content intelligent measurement method of detection robot for deep soils within loess slopes
Yaozhong Zhang, Han Zhang, Hengxing Lan, et al.
Measurement (2025), pp. 117374-117374
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
Effective medical leaf identification using hybridization of GMM-CNN
M. Srinivasa Rao, Praveen Kumar Sekharamantry, Konda Srinivasa Rao
International Journal of experimental research and review (2023) Vol. 32, pp. 115-123
Open Access | Times Cited: 9
Geospatial Artificial Intelligence (GeoAI) and Satellite Imagery Fusion for Soil Physical Property Predicting
Fatemeh Sadat Hosseini, Myoung Bae Seo, Seyed Vahid Razavi-Termeh, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14125-14125
Open Access | Times Cited: 9
A Review on the High-Efficiency Detection and Precision Positioning Technology Application of Agricultural Robots
Ruyi Wang, Linhong Chen, Zhike Huang, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1833-1833
Open Access | Times Cited: 3
Height-Variable Monocular Vision Ranging Technology for Smart Agriculture
Tian Gao, Meian Li, Lixia Xue, et al.
IEEE Access (2023) Vol. 11, pp. 92847-92856
Open Access | Times Cited: 8
Machine learning and computer vision technology to analyze and discriminate soil samples
Sema Kaplan, Ewa Ropelewska, Seda Günaydın, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
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