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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:

Predicting the Quality of Tangerines Using the GCNN-LSTM-AT Network Based on Vis–NIR Spectroscopy
Yiran Wu, Xinhua Zhu, Qiangsheng Huang, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8221-8221
Open Access | Times Cited: 10

Showing 10 citing articles:

A security data detection and management method in digital library network based on deep learning
Dong Zhu, Yihang Wei, Jiali Cai, et al.
Frontiers in Physics (2025) Vol. 12
Open Access
Rapid non-destructive detection of pork freshness using visible-near infrared spectroscopy based on convolutional neural network hybrid models
Xiaoxiao Zhao, Wei Ning, Ruoxin Chen, et al.
Journal of Food Composition and Analysis (2025), pp. 107199-107199
Closed Access
Improving Fruit Variety Classification Using Near-Infrared Spectroscopy and Deep Learning Techniques
Xinyue Wang, Xiangdong Chen, Ronggao Gong, et al.
Journal of Food Composition and Analysis (2025), pp. 107243-107243
Closed Access
Comparative Analysis of Modified Partial Least Squares Regression and Hybrid Deep Learning Models for Predicting Protein Content in Perilla (Perilla frutescens L.) Seed Meal Using NIR Spectroscopy
Simardeep Kaur, Naseeb Singh, Preety Dagar, et al.
Food Bioscience (2024) Vol. 61, pp. 104821-104821
Closed Access | Times Cited: 5
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: 11
Combined gramian angular difference field image coding and improved mobile vision transformer for determination of apple soluble solids content by Vis-NIR spectroscopy
You Li, Hongwei Sun, Yurui Zheng, et al.
Journal of Food Composition and Analysis (2024) Vol. 131, pp. 106200-106200
Closed Access | Times Cited: 2
Jade Identification Using Ultraviolet Spectroscopy Based on the SpectraViT Model Incorporating CNN and Transformer
Xiongjun Li, Jilin Cai, Jin Feng
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9839-9839
Open Access
Enhanced prediction of soluble solids content and vitamin C content in citrus using visible and near-infrared spectroscopy combined with one-dimensional convolutional neural network
Yi-Ting Huang, Yingjie Zheng, Penghui Liu, et al.
Journal of Food Composition and Analysis (2024), pp. 107131-107131
Closed Access
Non-destructive predictions of sugar contents in litchis based on near-infrared spectroscopy and stochastic configuration network
Shiqi Hu, Weijie Hong, Junjie Xie, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 9, pp. 8063-8077
Closed Access
Assessment of physicochemical and optical properties changes in 'Fuji' apples during Penicillium expansum-induced disease development
Guantian Wang, J. Luo, Yande Liu, et al.
Food Bioscience (2024), pp. 105755-105755
Closed Access
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