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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:

Resource-efficient federated learning over IoAT for rice leaf disease classification
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109001-109001
Closed Access | Times Cited: 10

Showing 10 citing articles:

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
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
Agricultural data privacy and federated learning: A review of challenges and opportunities
Rahool Dembani, Ioannis Karvelas, Nur Arifin Akbar, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110048-110048
Open Access
An improved blockchain-based multi-region Federated Learning framework for crop disease diagnosis
Yuanze Qin, Chang Xu, Qin Zhou, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110181-110181
Closed Access
A Blockchain-Assisted Trusted Federated Learning for Smart Agriculture
T Manoj, Krishnamoorthi Makkithaya, V G Narendra
SN Computer Science (2025) Vol. 6, Iss. 3
Open Access
Recognition of Multi-Symptomatic Rice Leaf Blast in Dual Scenarios by Using Convolutional Neural Networks
Huiru Zhou, Dingzhou Cai, Li‐Fong Lin, et al.
Smart Agricultural Technology (2025), pp. 100867-100867
Open Access
IoT-Based Smart Farming Architecture Using Federated Learning: a Nitrous Oxide Emission Prediction Use Case
Patrick Killeen, Ci Lin, Futong Li, et al.
ACM Journal on Computing and Sustainable Societies (2025)
Closed Access
Study on Carbon Emission Influencing Factors and Carbon Emission Reduction Potential in China's Food Production Industry
Yuanping Wang, Lang Hu, Lingchun Hou, et al.
Environmental Research (2024) Vol. 261, pp. 119702-119702
Closed Access | Times Cited: 3
A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning
Md. Fahim-Ul-Islam, Amitabha Chakrabarty, Sarder Tanvir Ahmed, et al.
IEEE Access (2024) Vol. 12, pp. 109128-109156
Open Access | Times Cited: 3
Tea Leaf Disease Detection using Segment Anything Model and Deep Convolutional Neural Networks
A. Balasundaram, Puma Sundaresan, Arnav Bhavsar, et al.
Results in Engineering (2024), pp. 103784-103784
Open Access | Times Cited: 1
Flora-NET: Integrating dual coordinate attention with adaptive kernel based convolution network for medicinal flower identification
Sachin Kumar Gupta, Ashish Kumar Tripathi
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109834-109834
Closed Access | Times Cited: 1
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