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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:

Multi-sensor spectral fusion to model grape composition using deep learning
Salvador Gutiérrez, Juan Fernández‐Novales, Teresa Garde‐Cerdán, et al.
Information Fusion (2023) Vol. 99, pp. 101865-101865
Open Access | Times Cited: 16

Showing 16 citing articles:

Self-supervised learning-based multi-source spectral fusion for fruit quality evaluation:a case study in mango fruit ripeness prediction
Liu Zhang, Jincun Liu, Yaoguang Wei, et al.
Information Fusion (2024), pp. 102814-102814
Closed Access | Times Cited: 20
Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Citrus Fruits: A Comprehensive Review
Kai Yu, Mingming Zhong, Wenjing Zhu, et al.
Foods (2025) Vol. 14, Iss. 3, pp. 386-386
Open Access | Times Cited: 2
Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions
Benjamin Oluwamuyiwa Olorunfemi, Nnamdi Nwulu, Oluwafemi Ayodeji Adebo, et al.
Journal of Agriculture and Food Research (2024) Vol. 16, pp. 101154-101154
Open Access | Times Cited: 11
Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra
Dário Passos, Puneet Mishra
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 243, pp. 105023-105023
Open Access | Times Cited: 15
Deep learning in multi-sensor agriculture and crop management
Darwin Alexis Arrechea-Castillo, Yady Tatiana Solano‐Correa
Elsevier eBooks (2025), pp. 335-379
Closed Access
PEAFusion: Parameter-efficient Adaptation for RGB-Thermal fusion-based semantic segmentation
Yan Wang, Henry K. Chu, Yuxiang Sun
Information Fusion (2025), pp. 103030-103030
Closed Access
Deep learning meets visualization: A novel method for particle size monitoring in fluidized bed coating
Zhong Liang, Lele Gao, Lian Li, et al.
Microchemical Journal (2025), pp. 113256-113256
Closed Access
Data integrity of food and machine learning: Strategies, advances and prospective
Chenming Li, Jieqing Li, Yuanzhong Wang
Food Chemistry (2025), pp. 143831-143831
Closed Access
Data fusion-driven hyperspectral imaging for non-destructive detection of single maize seed vigor
Rui Shi, Han Zhang, Cheng Wang, et al.
Measurement (2025), pp. 117416-117416
Closed Access
Improving Soil Quality Index Prediction by Fusion of Vis-NIR and pXRF spectral data
Jianghui Song, Xiaoyan Shi, Haijiang Wang, et al.
Geoderma (2024) Vol. 447, pp. 116938-116938
Open Access | Times Cited: 3
Self-Supervised Learning-Based Multi-Source Spectral Fusion for Fruit Quality Evaluation:A Case Study in Mango Fruit Ripeness Prediction
Liu Zhang, Jincun Liu, Yaoguang Wei, et al.
(2024)
Closed Access | Times Cited: 3
Multimodal fish maw type recognition based on Wasserstein generative adversarial network combined with gradient penalty and spectral fusion
Hai Yin, Qihang Yang, Fangyuan Huang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125430-125430
Closed Access
Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review
Ruibin Xi, Yixin Gu, Xiaoqian Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
Maize precision seeding scheme based on multi-sensor information fusion
Chunji Xie, Li Yang, Xiantao He, et al.
Journal of Industrial Information Integration (2024), pp. 100758-100758
Closed Access
Data Fusion-Driven Hyperspectral Imaging for Non-Destructive Detection of Single Maize Seed Vigor
Rui Shi, Han Zhang, Cheng Wang, et al.
(2024)
Closed Access
Data Fusion-Driven Hyperspectral Imaging for Non-Destructive Detection of Single Maize Seed Vigor
Rui Shi, Han Zhang, Cheng Wang, et al.
(2024)
Closed Access
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