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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:

A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
L. G. Divyanth, Aanis Ahmad, Dharmendra Saraswat
Smart Agricultural Technology (2022) Vol. 3, pp. 100108-100108
Open Access | Times Cited: 73

Showing 51-75 of 73 citing articles:

BNNDC: Branched neural network for plant disease identification
Aanis Ahmad, Varun Aggarwal, Dharmendra Saraswat
Smart Agricultural Technology (2023) Vol. 5, pp. 100315-100315
Open Access | Times Cited: 3
Non-destructive monitoring method for leaf area of Brassica napus based on image processing and deep learning
Mengcheng Li, Yitao Liao, Zhifeng Lu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 2
Analysis of Deep Learning Models for Potato Leaf Disease Classification and Prediction
Pramod Mathur, Sunil Kumar, Vaishali Yadav, et al.
Lecture notes in networks and systems (2024), pp. 355-365
Closed Access
Harnessing the Power of Deep Learning for Corn Rust Disease Severity Classification
Arshleen Kaur, Vinay Kukreja, Lisa Gopal, et al.
(2024), pp. 1-4
Closed Access
CSIU-Net+: Pepper and corn leaves classification and severity identification using hybrid optimization
Shaik Salma Asiya Begum, Hussain Syed
Environmental Research Communications (2024) Vol. 6, Iss. 5, pp. 055021-055021
Open Access
Plant Disease Detection Using Machine Learning Models
Rakesh Singh Jadon, Pradeep Gupta
SSRN Electronic Journal (2024)
Closed Access
Dermoskopik görüntülerde lezyon bölütleme için iyileştirme önerileri
Saadet Aytaç ARPACI, Songül Albayrak
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024)
Open Access
Pengembangan Aplikasi Sistem Pakar Deteksi Dini Hama dan Penyakit Tanaman Jagung
Mohamad Lihawa, Zulzain Ilahude, Mukhlisulfatih Latief, et al.
Jurnal Penelitian Pertanian Terapan (2024) Vol. 24, Iss. 1, pp. 58-66
Open Access
Harnessing Machine Learning for Accurate Corn Leaf Disease Classification
L. Pavithra, Hithaishi Reddy, M S Bhargavi
(2024), pp. 1-6
Closed Access
Agricultural Field Segmentation and Corn Yield Prediction Based on DeeplabV3+ and XGBRegressor
Jiajia Lu, Yang Yang, Haochao Zhong, et al.
(2024), pp. 694-698
Closed Access
In-line semantic segmentation of kimchi cabbage deterioration using YOLOv8n and DeepLabv3+
Hae‐Il Yang, Sung Gi Min, Ji‐Hee Yang, et al.
Postharvest Biology and Technology (2024) Vol. 218, pp. 113158-113158
Open Access
A high-available segmentation algorithm for corn leaves and leaf spot disease based on feature fusion
Falin Guo, Caihua Yao, Rui Yang, et al.
Crop Protection (2024), pp. 106957-106957
Closed Access
Multi-scale and Multi-receptive Field-based Feature Fusion for Robust Segmentation of Plant Disease and Fruit Using Agricultural Images
Adnan Haider, Muhammad Arsalan, Jin Seong Hong, et al.
Applied Soft Computing (2024), pp. 112300-112300
Open Access
CVW-Etr: A High-Precision Method for Estimating the Severity Level of Cotton Verticillium Wilt Disease
Pan Pan, Qiong Yao, Jiawei Shen, et al.
Plants (2024) Vol. 13, Iss. 21, pp. 2960-2960
Open Access
A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis
Xiang Liu, Zhaoxiang Liu, Huan Hu, et al.
Lecture notes in computer science (2024), pp. 157-170
Closed Access
A classification model of road accumulated snow severity based on the fusion of DeepLabV3 + and U-Net
Yaoyao Pei, Junfan Lu, Henglin Xiao, et al.
Road Materials and Pavement Design (2024), pp. 1-22
Closed Access
Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identification
İshak Paçal, Gültekin Işık
Neural Computing and Applications (2024)
Closed Access
Deep learning for plant stress detection: A comprehensive review of technologies, challenges, and future directions
Nijhum Paul, G C Sunil, David J. Horvath, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109734-109734
Open Access
Stimator: A Method in Agriculture CPS Framework to Estimate Severity of Plant Diseases using Graph Neural Network
Kiran K. Kethineni, Saraju P. Mohanty, Elias Kougianos
(2023), pp. 462-467
Closed Access | Times Cited: 1
Runge Kutta Optimization with Deep Learning Enabled Disease Detection in Internet of Things Environment
C. Nithyeswari, G. Karthikeyan
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023) Vol. 11, pp. 940-945
Closed Access
Smart Cyber-Physical System-Based Plant Disease Detection for Agriculture
R. Karthickmanoj, S. Aasha Nandhini, T. Sasilatha, et al.
Advances in environmental engineering and green technologies book series (2023), pp. 204-222
Closed Access
An intelligent convolution based graph cut segmentation for potato leaf disease severity prediction
Anuj Rapaka, Clara Kanmani A
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 32765-32787
Closed Access
Enhancing Crop Damage Detection through Optimized Neural Network Approach
Durgunala Ranjith, Thudum Venkatesh, Aparna Dayyala, et al.
(2023), pp. 1-6
Closed Access
A Review on Crop Disease Classification and Prevention of Pest using Deep Transfer Ensemble Learning in Agriculture
D. Pandya, Kirti Jain
(2023), pp. 1-12
Closed Access
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