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:

Recent advances in image fusion technology in agriculture
Daoliang Li, Zhaoyang Song, Chaoqun Quan, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106491-106491
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
Yasin Kaya, Ercan Gürsoy
Ecological Informatics (2023) Vol. 75, pp. 101998-101998
Closed Access | Times Cited: 88

Automation’s Impact on Agriculture: Opportunities, Challenges, and Economic Effects
Khadijeh Bazargani, Taher Deemyad
Robotics (2024) Vol. 13, Iss. 2, pp. 33-33
Open Access | Times Cited: 19

Information perception in modern poultry farming: A review
Dihua Wu, Di Cui, Mingchuan Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107131-107131
Closed Access | Times Cited: 61

Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Juan M. Jurado, Alfonso López, Luís Pádua, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102856-102856
Open Access | Times Cited: 44

Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps
Jayme Garcia Arnal Barbedo
Sensors (2022) Vol. 22, Iss. 6, pp. 2285-2285
Open Access | Times Cited: 37

Fusion of Hyperspectral Imaging and Convolutional Neural Networks for Early Detection of Crop Diseases in Precision Agriculture
Kavitha Dasari, Suman Avdhesh Yadav, Lavish Kansal, et al.
(2024), pp. 1172-1177
Closed Access | Times Cited: 7

A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8
Erli Pinto dos Santos, Demétrius David da Silva, Cibele Hummel do Amaral, et al.
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106753-106753
Closed Access | Times Cited: 35

Monitoring leaf nitrogen content in rice based on information fusion of multi-sensor imagery from UAV
Sizhe Xu, Xingang Xu, Qingzhen Zhu, et al.
Precision Agriculture (2023) Vol. 24, Iss. 6, pp. 2327-2349
Open Access | Times Cited: 17

YOLACTFusion: An instance segmentation method for RGB-NIR multimodal image fusion based on an attention mechanism
Cheng Liu, Qingchun Feng, Yuhuan Sun, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108186-108186
Closed Access | Times Cited: 16

A Survey of Wireless Soil Sensing Technologies
Yihan Xu, Mikhail Smirnov, Michael Köhler, et al.
IEEE Access (2024) Vol. 12, pp. 12010-12038
Open Access | Times Cited: 6

Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications
Jun Wang, Yanlong Wang, Guang Li, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1975-1975
Open Access | Times Cited: 6

An Effective Image Classification Method for Plant Diseases with Improved Channel Attention Mechanism aECAnet Based on Deep Learning
Wenqiang Yang, Ying Yuan, Donghua Zhang, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 451-451
Open Access | Times Cited: 5

An adaptive dual-supervised cross-deep dependency network for pixel-wise classification
Wenping Ma, Chuang Chen, Mengru Ma, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-13
Closed Access

Comprehensive wheat lodging detection under different UAV heights using machine/deep learning models
Jianing Long, Zhao Zhang, Qu Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109972-109972
Closed Access

Parametric image design and visualization simulation based on infrared thermal image fusion algorithm
Guangyi Tang, Xiaozhan Ma
Thermal Science and Engineering Progress (2025), pp. 103462-103462
Closed Access

DCFusion: A Dual-Frequency Cross-Enhanced Fusion Network for Infrared and Visible Image Fusion
Dan Wu, Mina Han, Yang Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 13

Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China
Shidan Zhu, Ningbo Cui, Ji Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 646-646
Open Access | Times Cited: 12

A state-of-the-art review of image motion deblurring techniques in precision agriculture
Yu Huihui, Daoliang Li, Chen Yingyi
Heliyon (2023) Vol. 9, Iss. 6, pp. e17332-e17332
Open Access | Times Cited: 12

A Novel High-Throughput Detection Method for Plastic Debris in Organic-Rich Matrices Based on Image Fusion
Zhan Yang, Hua Zhang, Fan Lü, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 15, pp. 6045-6054
Closed Access | Times Cited: 3

Modality specific infrared and visible image fusion based on multi-scale rich feature representation under low-light environment
Chenhua Liu, Hanrui Chen, Lei Deng, et al.
Infrared Physics & Technology (2024) Vol. 140, pp. 105351-105351
Closed Access | Times Cited: 3

Technology progress in mechanical harvest of fresh market strawberries
Jie Guo, Zhou Yang, Manoj Karkee, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109468-109468
Closed Access | Times Cited: 3

Coupling Image-Fusion Techniques with Machine Learning to Enhance Dynamic Monitoring of Nitrogen Content in Winter Wheat from UAV Multi-Source
Xinwei Li, Xiangxiang Su, Jun Li, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1797-1797
Open Access | Times Cited: 3

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