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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:

Effective multi-crop disease detection using pruned complete concatenated deep learning model
R. Arun, S. Umamaheswari
Expert Systems with Applications (2022) Vol. 213, pp. 118905-118905
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
Hasyiya Karimah Adli, Muhammad Akmal Remli, Khairul Nizar Syazwan Wan Salihin Wong, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3752-3752
Open Access | Times Cited: 65
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism
C. K. Sunil, Jaidhar C.D., Nagamma Patil
Expert Systems with Applications (2023) Vol. 228, pp. 120381-120381
Closed Access | Times Cited: 62
Systematic study on deep learning-based plant disease detection or classification
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14955-15052
Closed Access | Times Cited: 48
Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review
Anuja Bhargava, Aasheesh Shukla, Om Prakash Goswami, et al.
IEEE Access (2024) Vol. 12, pp. 37443-37469
Open Access | Times Cited: 11
Cauli-Det: enhancing cauliflower disease detection with modified YOLOv8
Md. Sazid Uddin, Md. Khairul Alam Mazumder, Afrina Jannat Prity, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 8
A novel deep CNN model with entropy coded sine cosine for corn disease classification
MaajidMohiUd Din Malik, Abdul Muiz Fayyaz, Mussarat Yasmin, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102126-102126
Open Access | Times Cited: 7
A knowledge graph for crop diseases and pests in China
Rongen Yan, Ping An, Xianghao Meng, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
A novel twin vision transformer framework for crop disease classification with deformable attention
Smitha Padshetty, Ambika
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107551-107551
Closed Access
RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5
Pan Li, J Zhou, Huihui Sun, et al.
Agriculture (2025) Vol. 15, Iss. 5, pp. 479-479
Open Access
Enhancing domain adaptation for plant diseases detection through Masked Image Consistency in Multi-Granularity Alignment
Guinan Guo, Songning Lai, Qingyang Wu, et al.
Expert Systems with Applications (2025), pp. 127101-127101
Closed Access
Advanced detection of fungi-bacterial diseases in plants using modified deep neural network and DSURF
Shipra Saraswat, Pooja Singh, Manoj Kumar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 16711-16733
Open 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
An improved federated deep learning for plant leaf disease detection
Pragya Hari, Maheshwari Prasad Singh, Amit Kumar Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 83471-83491
Closed Access | Times Cited: 4
LFMNet: a lightweight model for identifying leaf diseases of maize with high similarity
Jian Hu, Xinhua Jiang, Julin Gao, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
LVR: A language and vision fusion method for rice diseases segmentation under complex environment
Tianrui Zhao, Honglin Zhou, Miying Yan, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127599-127599
Closed Access
Exploring the Integration of Industry 4.0 Technologies in Agriculture: A Comprehensive Bibliometric Review
Benedetta Fasciolo, Luigi Panza, Franco Lombardi
Sustainability (2024) Vol. 16, Iss. 20, pp. 8948-8948
Open Access | Times Cited: 2
Plant Disease Classification using Interpretable Vision Transformer Network
Ritesh Maurya, Nageshwar Nath Pandey, Vibhav Prakash Singh, et al.
(2023), pp. 688-692
Closed Access | Times Cited: 7
Detecting fungi-affected multi-crop disease on heterogeneous region dataset using modified ResNeXt approach
Nidhi Upadhyay, Neeraj Gupta
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 2
Comparative Analysis of Pre-trained Deep Neural Networks for Plant Disease Classification
Romiyal George, Selvarajah Thuseethan, Roshan Ragel
(2024), pp. 179-186
Closed Access | Times Cited: 2
Real-time field disease identification based on a lightweight model
Siyu Quan, Jiajia Wang, Zhenhong Jia, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109467-109467
Closed Access | Times Cited: 2
Advanced Tomato Disease Detection Using the Fusion of Multiple Deep-Learning and Meta-Learning Techniques
Hatice Çatal Reis
Deleted Journal (2024) Vol. 76, Iss. 6, pp. 1553-1567
Closed Access | Times Cited: 1
In-Field Disease Symptom Detection and Localisation Using Explainable Deep Learning: Use Case for Downy Mildew in Grapevine
Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, et al.
(2024)
Closed Access | Times Cited: 1
Shuffle-fusion pyramid network for bearing fault diagnosis under noisy environments
Cheng Zhao, Linfeng Deng, Yuanwen Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116133-116133
Closed Access | Times Cited: 1
In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine
Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109478-109478
Open Access | Times Cited: 1
A light-weight enhanced multi-level attention network for plant disease identification
Sagar Sidana
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
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