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:

Raman spectroscopy combined with multiple one-dimensional deep learning models for simultaneous quantification of multiple components in blended olive oil
Xijun Wu, Xin Zhang, Zherui Du, et al.
Food Chemistry (2023) Vol. 431, pp. 137109-137109
Closed Access | Times Cited: 13

Showing 13 citing articles:

Intelligent sensory of lard quality by adaptive residual attention networks and Raman spectroscopy
Zhuangwei Shi, Yunhao Su, Jianchen Zi, et al.
Microchemical Journal (2025) Vol. 209, pp. 112680-112680
Closed Access

Rapid identification of marine microplastics by laser-induced fluorescence technique based on PCA combined with SVM and KNN algorithm
Lanjun Sun, Zhijian Liu, Xiongfei Meng, et al.
Environmental Research (2025), pp. 120947-120947
Closed Access

Quantitative determination of acid value in palm oil during thermal oxidation using Raman spectroscopy combined with deep learning models
Shuxin Liang, Guoqing Chen, Chaoqun Ma, et al.
Food Chemistry (2025), pp. 143107-143107
Closed Access

Fast dentification of overlapping fluorescence spectra of oil species based on LDA and two-dimensional convolutional neural network
Xiaoyu Chen, Yunrui Hu, Xinyi Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 324, pp. 124979-124979
Closed Access | Times Cited: 2

Adulteration detection of multi-species vegetable oils in camellia oil using Raman spectroscopy: Comparison of chemometrics and deep learning methods
Jiahua Wang, Jiangjin Qian, Mengting Xu, et al.
Food Chemistry (2024) Vol. 463, pp. 141314-141314
Closed Access | Times Cited: 2

Quantification of antibiotics in food by octahedral gold-silver nanocages-based SERS sensor coupling multivariate calibration
Huanhuan Li, Wei Sheng, Md Mehedi Hassan, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 320, pp. 124595-124595
Closed Access | Times Cited: 1

Integrating deep learning and near-infrared spectroscopy for quality control of traditional Chinese medicine extracts
Cheng Peng, Mengyu Zhang, Mengdi Kong, et al.
Microchemical Journal (2024) Vol. 205, pp. 111310-111310
Closed Access | Times Cited: 1

Quantification of soluble protein content and characterization of protein secondary structure by Raman spectroscopy combined with chemometrics
Feng‐Qing Wang, Xinyue Cao, Ran Qiu, et al.
Journal of Food Composition and Analysis (2024) Vol. 136, pp. 106817-106817
Closed Access | Times Cited: 1

Detection Technologies, and Machine Learning in Food: Recent Advances and Future Trends
Qiong He, Heng-Yu Huang, Yuanzhong Wang
Food Bioscience (2024), pp. 105558-105558
Closed Access

Quantitative analysis of β-carotene and unsaturated fatty acids in blended olive oil via Raman spectroscopy combined with model prediction
Yulong Chen, Zhihan Yang, Shan Zeng, et al.
Food Chemistry (2024) Vol. 470, pp. 142621-142621
Closed Access

Rapid identification of horse oil adulteration based on deep learning infrared spectroscopy detection method
Lingling Kuang, Xuecong Tian, Ying Hua Su, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 330, pp. 125604-125604
Closed Access

PCA, PLS, and MCR-ALS applied to the analysis of miscibility and quantification of cupuassu butter, passion fruit oil and sacha inchi oil blended in cocoa butter
César R. Balcázar-Zumaeta, Jorge L. Maicelo, Alexa J. Pajuelo-Muñoz, et al.
Applied Food Research (2024), pp. 100678-100678
Open Access

Non-Destructive Identification of Grape Species Based on Near-Infrared Spectroscopy and TLNET Network
Zhilin Dong, Jiajia Wang, Penghui Sun
(2023), pp. 1156-1159
Closed Access

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