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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.

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Showing 1-25 of 34 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: 68
Lightweight Residual Convolutional Neural Network for Soybean Classification Combined With Electronic Nose
Hualing Lin, Haoming Chen, Chongbo Yin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 11463-11473
Closed Access | Times Cited: 54
Identification of the proximate geographical origin of wolfberries by two-dimensional correlation spectroscopy combined with deep learning
Fujia Dong, Jie Hao, Ruiming Luo, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107027-107027
Closed Access | Times Cited: 51
Spectroscopic technologies and data fusion: Applications for the dairy industry
Elena Hayes, Derek Greene, Colm P. O’Donnell, et al.
Frontiers in Nutrition (2023) Vol. 9
Open Access | Times Cited: 29
Integrating CNNs and Chemometrics for Analyzing NIR Spectra and RGB Images in Turmeric Adulterant Detection
Ali M. Sadeghi, Shokoofeh Khani, Reyhaneh Sabourian, et al.
Journal of Food Composition and Analysis (2025), pp. 107324-107324
Closed Access | Times Cited: 1
Non-destructive analysis of Ganoderma lucidum composition using hyperspectral imaging and machine learning
Ran Jing, Hui Xu, Zhilong Wang, et al.
Frontiers in Chemistry (2025) Vol. 13
Open Access | Times Cited: 1
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, et al.
Information Fusion (2021) Vol. 74, pp. 1-16
Closed Access | Times Cited: 49
Optimization of extraction and purification processes of six flavonoid components from Radix Astragali using BP neural network combined with particle swarm optimization and genetic algorithm
Shouchao Xu, Haitong Wan, Xixi Zhao, et al.
Industrial Crops and Products (2022) Vol. 178, pp. 114556-114556
Closed Access | Times Cited: 31
Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review
Weixin Ye, Wei Xu, Tianying Yan, et al.
Foods (2022) Vol. 12, Iss. 1, pp. 132-132
Open Access | Times Cited: 31
Machine learning applications for multi-source data of edible crops: A review of current trends and future prospects
Yanying Zhang, Yuanzhong Wang
Food Chemistry X (2023) Vol. 19, pp. 100860-100860
Open Access | Times Cited: 21
Quality assessment of traditional Chinese medicine based on data fusion combined with machine learning: A review
Rong Ding, Lianhui Yu, Chenghui Wang, et al.
Critical Reviews in Analytical Chemistry (2023) Vol. 54, Iss. 7, pp. 2618-2635
Closed Access | Times Cited: 18
Identification of Near Geographical Origin of Wolfberries by a Combination of Hyperspectral Imaging and Multi-Task Residual Fully Convolutional Network
Jiarui Cui, Kenken Li, Jie Hao, et al.
Foods (2022) Vol. 11, Iss. 13, pp. 1936-1936
Open Access | Times Cited: 28
Refinement of Machine learning models for hyperspectral imaging data in Gastrodia elata analysis
Wei Zhang, Shuang Hu, Qi Zhang, et al.
Microchemical Journal (2025), pp. 112726-112726
Open Access
CNN-based classification for autonomous identification of RL disease
Manjula Gururaj Rao, Shaun Noronha, Ritesh Shetty, et al.
AIP conference proceedings (2025) Vol. 3283, pp. 020027-020027
Closed Access
Identify production area, growth mode, species, and grade of Astragali Radix using metabolomics “big data” and machine learning
Jing Wu, Shaoqian Deng, Xinyue Yu, et al.
Phytomedicine (2023) Vol. 123, pp. 155201-155201
Closed Access | Times Cited: 8
Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology
Youhua Bu, Xinna Jiang, Jianping Tian, et al.
Journal of Food Process Engineering (2022) Vol. 45, Iss. 10
Closed Access | Times Cited: 13
Broad learning system with Takagi–Sugeno fuzzy subsystem for tobacco origin identification based on near infrared spectroscopy
Di Wang, Simon X. Yang
Applied Soft Computing (2022) Vol. 134, pp. 109970-109970
Open Access | Times Cited: 13
Application of Data Fusion in Traditional Chinese Medicine: A Review
Rui Huang, Shuang‐Cheng Ma, Shengyun Dai, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 106-106
Open Access | Times Cited: 7
Efficacy and Possible Mechanisms of Astragali Radix and its Ingredients in Animal Models of Osteoporosis: A Preclinical Review and Metaanalysis
Ning Cao, Zhangxuan Shou, Yi Xiao, et al.
Current Drug Targets (2024) Vol. 25, Iss. 2, pp. 135-148
Closed Access | Times Cited: 2
Development status of novel spectral imaging techniques and application to traditional Chinese medicine
Qi Wang, Yong Zhang, Baofeng Yang
Journal of Pharmaceutical Analysis (2023) Vol. 13, Iss. 11, pp. 1269-1280
Open Access | Times Cited: 6
Early warning and diagnostic visualization of Sclerotinia infected tomato based on hyperspectral imaging
Yongxin Zhou, Jiaze Chen, Jinfang Ma, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
Hyperspectral Image Fusion Algorithm Based on Improved Deep Residual Network
Yuxuan Li, Minyue Fu, Hanfeng Zhang, et al.
Signal Processing (2023) Vol. 210, pp. 109058-109058
Closed Access | Times Cited: 4
The Identification of Fritillaria Species Using Hyperspectral Imaging with Enhanced One-Dimensional Convolutional Neural Networks via Attention Mechanism
Huiqiang Hu, Zhenyu Xu, Yunpeng Wei, et al.
Foods (2023) Vol. 12, Iss. 22, pp. 4153-4153
Open Access | Times Cited: 4
Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds
Yanan Xu, Weifeng Wu, Yi Chen, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 7
Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves
Qinlin Xiao, Na Wu, Wentan Tang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 7
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