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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:

Tomato leaves diseases detection approach based on Support Vector Machines
Usama Mokhtar, Mona A. S. Ali, Aboul Ella Hassenian, et al.
(2015), pp. 246-250
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Tomato Leaf Disease Detection Using Convolutional Neural Networks
Prajwala Tm, Alla Pranathi, Kandiraju SaiAshritha, et al.
(2018), pp. 1-5
Closed Access | Times Cited: 262
Study of digital image processing techniques for leaf disease detection and classification
Gittaly Dhingra, Vinay Kumar, Hem Dutt Joshi
Multimedia Tools and Applications (2017) Vol. 77, Iss. 15, pp. 19951-20000
Closed Access | Times Cited: 204
Plant Disease Detection Using CNN
Garima Shrestha, Deepsikha, Majolica Das, et al.
(2020), pp. 109-113
Closed Access | Times Cited: 143
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, et al.
IEEE Access (2022) Vol. 10, pp. 68868-68884
Open Access | Times Cited: 103
Monitoring Tomato Leaf Disease through Convolutional Neural Networks
Juan Antonio Guerrero Ibáñez, Angélica Reyes
Electronics (2023) Vol. 12, Iss. 1, pp. 229-229
Open Access | Times Cited: 52
Development of an SDG-driven Convolutional Neural Network (CNN) model for multi-class classification of Tomato Leaf diseases using combined public and local datasets
Mesfin Abebe, Zewdu Tiumay, Sudhir Kumar Mohapatra, et al.
Journal of Integrated Science and Technology (2025) Vol. 13, Iss. 3
Open Access | Times Cited: 1
Diseases Detection of Various Plant Leaf Using Image Processing Techniques: A Review
Santhosh S. Kumar, B. K. Raghavendra
(2019), pp. 313-316
Closed Access | Times Cited: 116
Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease
Utpal Barman, Ridip Dev Choudhury, Diganto Sahu, et al.
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105661-105661
Closed Access | Times Cited: 115
A novel computer vision based neutrosophic approach for leaf disease identification and classification
Gittaly Dhingra, Vinay Kumar, Hem Dutt Joshi
Measurement (2018) Vol. 135, pp. 782-794
Open Access | Times Cited: 113
An improved moth flame optimization algorithm based on rough sets for tomato diseases detection
Aboul Ella Hassanien, Tarek Gaber, Usama Mokhtar, et al.
Computers and Electronics in Agriculture (2017) Vol. 136, pp. 86-96
Closed Access | Times Cited: 111
Grape Leaf Disease Identification using Machine Learning Techniques
S. M. Jaisakthi, P. Mirunalini, D. Thenmozhi, et al.
(2019)
Closed Access | Times Cited: 109
Plant Leaf Disease Detection and Classification using Image Processing
Yin Min Oo, Nay Chi Htun
INTERNATIONAL JOURNAL OF RESEARCH AND ENGINEERING (2018) Vol. 5, Iss. 9, pp. 516-523
Open Access | Times Cited: 98
Web Enabled Plant Disease Detection System for Agricultural Applications Using WMSN
S. Aasha Nandhini, R. Hemalatha, S. Radha, et al.
Wireless Personal Communications (2017) Vol. 102, Iss. 2, pp. 725-740
Closed Access | Times Cited: 94
Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion
Rajasekaran Thangaraj, S. Anandamurugan, P. Pandiyan, et al.
Journal of Plant Diseases and Protection (2021) Vol. 129, Iss. 3, pp. 469-488
Closed Access | Times Cited: 76
Review on Emerging Trends in Detection of Plant Diseases using Image Processing with Machine Learning
Punitha Kartikeyan, Gyanesh Shrivastava
International Journal of Computer Applications (2021) Vol. 174, Iss. 11, pp. 39-48
Open Access | Times Cited: 57
Image processing based system for the detection, identification and treatment of tomato leaf diseases.
Sami Ur Rahman, Fakhre Alam, Niaz Ahmad, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 6, pp. 9431-9445
Closed Access | Times Cited: 56
Plant leaf disease classification and damage detection system using deep learning models
B. Sai Reddy, S. Neeraja
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 24021-24040
Closed Access | Times Cited: 51
Spot-out fruit fly algorithm with simulated annealing optimized SVM for detecting tomato plant diseases
E. Gangadevi, R. Shobarani, Rajesh Kumar Dhanaraj, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 8, pp. 4349-4375
Closed Access | Times Cited: 29
Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning
Manjunatha Badiger, Jose Alex Mathew
Journal of Biotechnology (2023) Vol. 374, pp. 101-113
Closed Access | Times Cited: 22
Identification of Tomato Plant Diseases by Leaf Image Using Squeezenet Model
Akbar Hidayatuloh, Muhammad Nursalman, Eki Nugraha
(2018), pp. 199-204
Closed Access | Times Cited: 65
Artificial bee colony optimization (ABC) for grape leaves disease detection
A. Diana Andrushia, Patricia Anthony
Evolving Systems (2019) Vol. 11, Iss. 1, pp. 105-117
Closed Access | Times Cited: 63
Application of extreme learning machine in plant disease prediction for highly imbalanced dataset
Anshul Bhatia, Anuradha Chug, Amit Prakash Singh
Journal of Statistics and Management Systems (2020) Vol. 23, Iss. 6, pp. 1059-1068
Closed Access | Times Cited: 52
Advanced Detection of Diseases in Tomato Plant Leaf Using Deep Learning
G. S. Madhan Kumar, Spoorthy Kanajal Chandrakanth, Harshali Patil, et al.
Lecture notes in networks and systems (2025), pp. 173-190
Closed Access
Advancements in Crop Yield Prediction Using Deep Learning Algorithms
A. Ajina, K. G. Jaya Christiyan, L. Sunithbabau, et al.
Advances in chemical and materials engineering book series (2025), pp. 245-264
Closed Access
Development Of An Improved Tomato Leaf Disease Detection And Classification Method
Manpreet Kaur, Rekha Bhatia
(2019), pp. 1-5
Closed Access | Times Cited: 53
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