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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 systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
Atiya Khan, Amol D. Vibhute, Shankar Mali, et al.
Ecological Informatics (2022) Vol. 69, pp. 101678-101678
Closed Access | Times Cited: 213

Showing 1-25 of 213 citing articles:

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 62
A Survey on Deep Learning and Its Impact on Agriculture: Challenges and Opportunities
Marwan Ali Albahar
Agriculture (2023) Vol. 13, Iss. 3, pp. 540-540
Open Access | Times Cited: 42
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 34
A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects
Billy G. Ram, Peter G. Oduor, C. Igathinathane, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109037-109037
Open Access | Times Cited: 32
Estimating of chlorophyll fluorescence parameter Fv/Fm for plant stress detection at peatlands under Ramsar Convention with Sentinel-2 satellite imagery
Maciej Bartold, Marcin Kluczek
Ecological Informatics (2024) Vol. 81, pp. 102603-102603
Open Access | Times Cited: 19
Unsupervised hyperspectral pansharpening via low-rank diffusion model
Xiangyu Rui, Xiangyong Cao, Li Pang, et al.
Information Fusion (2024) Vol. 107, pp. 102325-102325
Open Access | Times Cited: 16
Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review
Yimy Edisson García Vera, Mauricio Andrés Polochè Arango, Camilo A. Mendivelso-Fajardo, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6064-6064
Open Access | Times Cited: 14
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 2
Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering
Junbin Zhuang, Wenying Chen, Xunan Huang, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 193-193
Open Access | Times Cited: 1
Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges
Garima Jaiswal, Ritu Rani, Harshita Mangotra, et al.
Computer Science Review (2023) Vol. 50, pp. 100584-100584
Closed Access | Times Cited: 38
Investigation into maize seed disease identification based on deep learning and multi-source spectral information fusion techniques
Peng Xu, Lixia Fu, Kang Xu, et al.
Journal of Food Composition and Analysis (2023) Vol. 119, pp. 105254-105254
Closed Access | Times Cited: 26
Species classification from hyperspectral leaf information using machine learning approaches
Guangman Song, Quan Wang
Ecological Informatics (2023) Vol. 76, pp. 102141-102141
Closed Access | Times Cited: 21
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
Rice leaf chlorophyll content estimation with different crop coverages based on Sentinel-2
Lushi Liu, Yichen Xie, Bingxue Zhu, et al.
Ecological Informatics (2024) Vol. 81, pp. 102622-102622
Open Access | Times Cited: 11
The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review
Kun Zhang, Fangfang Yan, Ping Liu
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109008-109008
Closed Access | Times Cited: 9
Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of Bight of Sofala, Mozambique
Polina Lemenkova
Coasts (2024) Vol. 4, Iss. 1, pp. 127-149
Open Access | Times Cited: 8
Fungal fermentation of Fuzhuan brick tea: A comprehensive evaluation of sensory properties using chemometrics, visible near-infrared spectroscopy, and electronic nose
Chunyi Zhan, Wei Chen, Mostafa Gouda, et al.
Food Research International (2024) Vol. 186, pp. 114401-114401
Closed Access | Times Cited: 7
A systematic review on precision agriculture applied to sunflowers, the role of hyperspectral imaging
Luana Centorame, Alessio Ilari, Andrea Gatto, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109097-109097
Open Access | Times Cited: 7
Dual-stream spectral-spatial convolutional neural network for hyperspectral image classification and optimal band selection
Şaziye Özge Atik
Advances in Space Research (2024) Vol. 74, Iss. 5, pp. 2025-2041
Closed Access | Times Cited: 7
Comparative analysis of hyperspectral Image reconstruction using deep learning for agricultural and biological applications
Md. Toukir Ahmed, Arthur Villordon, Mohammed Kamruzzaman
Results in Engineering (2024) Vol. 23, pp. 102623-102623
Open Access | Times Cited: 7
A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop
Priyanka Sahu, Amit Singh, Anuradha Chug, et al.
IEEE Access (2022) Vol. 10, pp. 87333-87360
Open Access | Times Cited: 29
A review of agricultural drought assessment with remote sensing data: methods, issues, challenges and opportunities
Archana Mullapudi, Amol D. Vibhute, Shankar Mali, et al.
Applied Geomatics (2022) Vol. 15, Iss. 1, pp. 1-13
Closed Access | Times Cited: 29
Machine learning-driven hyperspectral imaging for non-destructive origin verification of green coffee beans across continents, countries, and regions
Joy Sim, Yash Dixit, Cushla McGoverin, et al.
Food Control (2023) Vol. 156, pp. 110159-110159
Open Access | Times Cited: 18
YOLOv5s-CBAM-DMLHead: A lightweight identification algorithm for weedy rice (Oryza sativa f. spontanea) based on improved YOLOv5
Chuangchuang Yuan, Tonghai Liu, Fangyu Gao, et al.
Crop Protection (2023) Vol. 172, pp. 106342-106342
Closed Access | Times Cited: 15
A Vis/NIR device for detecting moldy apple cores using spectral shape features
Haoling Liu, Ziyuan Wei, Miao Lu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108898-108898
Closed Access | Times Cited: 6
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