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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:

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: 48

Showing 1-25 of 48 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: 64
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: 35
Deep leaning in food safety and authenticity detection: An integrative review and future prospects
Yan Wang, Hui‐Wen Gu, Xiaoli Yin, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104396-104396
Closed Access | Times Cited: 22
Combination of hyperspectral imaging and entropy weight method for the comprehensive assessment of antioxidant enzyme activity in Tan mutton
Sijia Liu, Fujia Dong, Jie Hao, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 291, pp. 122342-122342
Closed Access | Times Cited: 30
Spectrum-image dual-modality fusion empowered accurate and efficient classification system for traditional Chinese medicine
Aojun Gong, Lianbo Guo, Yu Yuan, et al.
Information Fusion (2023) Vol. 101, pp. 101981-101981
Open Access | Times Cited: 22
A new comprehensive quantitative index for the assessment of essential amino acid quality in beef using Vis-NIR hyperspectral imaging combined with LSTM
Fujia Dong, Yongzhao Bi, Jie Hao, et al.
Food Chemistry (2023) Vol. 440, pp. 138040-138040
Closed Access | Times Cited: 22
Data fusion of near-infrared and Raman spectroscopy: An innovative tool for non-destructive prediction of the TVB-N content of salmon samples
Minqiang Guo, Hong Lin, Kaiqiang Wang, et al.
Food Research International (2024) Vol. 189, pp. 114564-114564
Closed Access | Times Cited: 15
Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning
Ruibin Bai, Zhou Jun-hui, Siman Wang, et al.
Foods (2024) Vol. 13, Iss. 3, pp. 498-498
Open Access | Times Cited: 11
Development of a new hyperspectral imaging technology with autoencoder-assisted generative adversarial network for predicting the content of polyunsaturated fatty acids in red meat
Jiarui Cui, Kenken Li, Yu Lv, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108842-108842
Closed Access | Times Cited: 11
Chemical composition prediction in goji (Lycium barbarum) using hyperspectral imaging and multi-task 1DCNN with attention mechanism
Huiqiang Hu, Yunlong Mei, Yunpeng Wei, et al.
LWT (2024) Vol. 204, pp. 116436-116436
Open Access | Times Cited: 8
A new method for quantitative characterization of dynamic migration behavior of NaCl in beef during marinating
Yingjie Feng, Fujia Dong, Cheng Wu, et al.
Food Research International (2025) Vol. 204, pp. 115877-115877
Closed Access | Times Cited: 1
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
Hyperspectral imaging combined with spectral-imagery feature fusion convolutional neural network to discriminate different geographical origins of wolfberries
Xinna Jiang, Quancheng Liu, Yan Lei, et al.
Journal of Food Composition and Analysis (2024) Vol. 132, pp. 106259-106259
Closed Access | Times Cited: 7
Fusion of spectra and texture data of hyperspectral imaging for prediction of myoglobin content in nitrite-cured mutton
Guoling Wan, Shuxiang Fan, Guishan Liu, et al.
Food Control (2022) Vol. 144, pp. 109332-109332
Closed Access | Times Cited: 27
A Combination of Near-Infrared Hyperspectral Imaging with Two-Dimensional Correlation Analysis for Monitoring the Content of Alanine in Beef
Fujia Dong, Yongzhao Bi, Jie Hao, et al.
Biosensors (2022) Vol. 12, Iss. 11, pp. 1043-1043
Open Access | Times Cited: 25
Identification of growth years of Kudzu root by hyperspectral imaging combined with spectral–spatial feature tokenization transformer
Zhenyu Xu, Huiqiang Hu, Tingting Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108332-108332
Closed Access | Times Cited: 15
Quantification of polycyclic aromatic hydrocarbons in roasted Tan lamb using fluorescence hyperspectral imaging technology
Jie Hao, Fujia Dong, Yalei Li, et al.
Journal of Food Composition and Analysis (2023) Vol. 124, pp. 105646-105646
Closed Access | Times Cited: 14
Counterfeit detection of bulk Baijiu based on fluorescence hyperspectral technology and machine learning
Youli Wu, Xiaoli Li, Lijia Xu, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 4, pp. 3032-3041
Closed Access | Times Cited: 5
Integrating portable NIR spectrometry with deep learning for accurate Estimation of crude protein in corn feed
Jing Liang, Bin Wang, Xiaoxuan Xu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 314, pp. 124203-124203
Closed Access | Times Cited: 5
Potential of two-dimensional correlation-based dual-band visible/near infrared spectroscopy to predict total volatile basic nitrogen content in meat
Yiran Zhang, Hongtu Xue, Qianyun Ma, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106451-106451
Closed Access | Times Cited: 5
The analysis of volatile compounds through flavoromics and machine learning to identify the origin of traditional Chinese fermented shrimp paste from different regions
Kuan Lu, Lin Liu, Zhiying Xu, et al.
LWT (2022) Vol. 171, pp. 114096-114096
Open Access | Times Cited: 22
The utility of Fourier transform near-infrared spectroscopy to identify geographical origins of Chinese pears
Hongzhe Jiang, Cong Zhang, Weidong Yuan, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 4, pp. 2674-2684
Closed Access | Times Cited: 4
Fusion of spectra and texture features of hyperspectral imaging for quantification and visualization of characteristic amino acid contents in beef
Fujia Dong, Yinhong Niu, Yongzhao Bi, et al.
LWT (2024) Vol. 206, pp. 116576-116576
Open Access | Times Cited: 4
Monitoring of veterinary drug residues in mutton based on hyperspectral combined with explainable AI: A case study of OFX
Fujia Dong, Zhaoyang Ma, Ying Xu, et al.
Food Chemistry (2025), pp. 143087-143087
Closed Access
Benchtop and different miniaturized near-infrared spectrometers application study: Calibration transfer and 2D-COS for in-situ analysis of moisture content in HPMC
Jianan Yue, Hui Zhang, Lele Gao, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 333, pp. 125889-125889
Closed Access
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