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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:

DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal
Ecological Informatics (2023) Vol. 75, pp. 102025-102025
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

TrIncNet: a lightweight vision transformer network for identification of plant diseases
Pushkar Gole, Punam Bedi, Sudeep Marwaha, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 21
An ensemble of deep learning architectures for accurate plant disease classification
Ali Hussein Ali, Ayman Youssef, Mahmoud Abdelal, et al.
Ecological Informatics (2024) Vol. 81, pp. 102618-102618
Open Access | Times Cited: 12
An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification
Amitabha Chakrabarty, Sarder Tanvir Ahmed, Md. Fahim Ul Islam, et al.
Ecological Informatics (2024) Vol. 82, pp. 102718-102718
Open Access | Times Cited: 11
Effective plant disease diagnosis using Vision Transformer trained with leafy-generative adversarial network-generated images
Aadarsh Kumar Singh, A. D. P. Rao, Pratik Chattopadhyay, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124387-124387
Closed Access | Times Cited: 7
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 3038-3052
Open Access | Times Cited: 17
A lightweight rice disease identification network based on attention mechanism and dynamic convolution
Yuan Yang, Jiao Ge, Jiahao Liu, et al.
Ecological Informatics (2023) Vol. 78, pp. 102320-102320
Closed Access | Times Cited: 15
Xception Deep Kronecker Network for Severity Plant Disease Classification Using Hyperspectral Leaf Image
S. Swaraj, S. Aparna
Journal of Phytopathology (2025) Vol. 173, Iss. 1
Closed Access
A novel lightweight model for tea disease classification based on feature reuse and channel focus attention mechanism
Junjie Liang, Renjie Liang, Dongxia Wang
Engineering Science and Technology an International Journal (2025) Vol. 61, pp. 101940-101940
Open Access
Prediction of banana leaf disease by intelligent algorithm through digital image using neural network technique
N. Bharathiraja, Gaganpreet Kaur, S. Murugesan, et al.
Multimedia Tools and Applications (2025)
Closed Access
A systematic review of deep learning techniques for apple leaf diseases classification and detection
Assad Souleyman Doutoum, Bülent Tuğrul
PeerJ Computer Science (2025) Vol. 11, pp. e2655-e2655
Open Access
A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification
Goluguri N. V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, et al.
Ecological Informatics (2025), pp. 103063-103063
Open Access
XLTLDisNet: A Novel and Lightweight Approach to Identify Tomato Leaf Diseases with Transparency
Aritra Das, Fahad Pathan, Jamin Rahman Jim, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42575-e42575
Open Access
ECCNN: A Novel Efficient Compressed Convolutional Neural Network
Anshu Singh, Maheshwari Prasad Singh
Communications in computer and information science (2025), pp. 134-144
Closed Access
Comparative Study of Pruned CNN Models for Tomato and Potato Disease Classification
Akshay Dheeraj, Satish Chand, Aditya Raj
Lecture notes in electrical engineering (2025), pp. 209-221
Closed Access
Advancements in smart agriculture: A systematic literature review on state‐of‐the‐art plant disease detection with computer vision
Esra Yılmaz, Sevim Ceylan Bocekci, Cengiz Şafak, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review
Aritra Das, Fahad Pathan, Jamin Rahman Jim, et al.
Artificial Intelligence in Agriculture (2025) Vol. 15, Iss. 2, pp. 192-220
Open Access
AI-driven plant health monitoring: evaluating the WRLSB-HPS algorithm for leaf disease classification
Puneet Kumar, H. Lalitha, D. Priya, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Multi-granularity alignment for crop diseases detection
Guinan Guo, Fang Zhou, Qingyang Wu, et al.
Plant Phenomics (2025), pp. 100001-100001
Open Access
Development of Chimp Optimization Algorithm and Adaptive Shuffle Attention Net for Automated Bank Cheque and Signature Verification
Rajashekar Salagar, Pushpa B. Patil
Web Intelligence (2025)
Closed Access
Past, present and future of deep plant leaf disease recognition: A survey
Romiyal George, Selvarajah Thuseethan, Roshan Ragel, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110128-110128
Open Access
ClGanNet: A novel method for maize leaf disease identification using ClGan and deep CNN
Vivek Sharma, Ashish Kumar Tripathi, Purva Daga, et al.
Signal Processing Image Communication (2023) Vol. 120, pp. 117074-117074
Closed Access | Times Cited: 14
Identification of Sunn-pest affected (Eurygaster Integriceps put.) wheat plants and their distribution in wheat fields using aerial imaging
Jalal Baradaran Motie, Mohammad Hossein Saeidirad, Mostafa Jafarian
Ecological Informatics (2023) Vol. 76, pp. 102146-102146
Closed Access | Times Cited: 13
A novel approach for image-based olive leaf diseases classification using a deep hybrid model
Hicham El Akhal, A. Yahya, Noureddine Moussa, et al.
Ecological Informatics (2023) Vol. 77, pp. 102276-102276
Closed Access | Times Cited: 13
A robust and light-weight transfer learning-based architecture for accurate detection of leaf diseases across multiple plants using less amount of images
Md. Khairul Alam Mazumder, M. F. Mridha, Sultan Alfarhood, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Grow-light smart monitoring system leveraging lightweight deep learning for plant disease classification
W A Macdonald, Yuksel Asli Sari, Majid Pahlevani
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 44-56
Open Access | Times Cited: 3
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