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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 cumin and fennel from different regions based on generative adversarial networks and near infrared spectroscopy
Bo Yang, Cheng Chen, Fangfang Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2021) Vol. 260, pp. 119956-119956
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Technological revolutions in smart farming: Current trends, challenges & future directions
Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107217-107217
Closed Access | Times Cited: 155
A Review of Machine Learning for Near-Infrared Spectroscopy
Wenwen Zhang, Liyanaarachchi Chamara Kasun, Qi Jie Wang, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9764-9764
Open Access | Times Cited: 88
Deep learning in food authenticity: Recent advances and future trends
Zhuowen Deng, Tao Wang, Yun Zheng, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104344-104344
Closed Access | Times Cited: 50
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: 27
Raman spectroscopy and FTIR spectroscopy fusion technology combined with deep learning: A novel cancer prediction method
Hongyong Leng, Cheng Chen, Chen Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 285, pp. 121839-121839
Closed Access | Times Cited: 51
Identification of Chinese red wine origins based on Raman spectroscopy and deep learning
Bingxu Lu, Feng Tian, Cheng Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 291, pp. 122355-122355
Closed Access | Times Cited: 29
Qualitative and quantitative analysis of Lanmaoa asiatica in different storage years based on FT-NIR combined with chemometrics
Ziyun Yan, Honggao Liu, Jieqing Li, et al.
Microchemical Journal (2023) Vol. 189, pp. 108580-108580
Closed Access | Times Cited: 27
Data Augmentation Techniques for Machine Learning Applied to Optical Spectroscopy Datasets in Agrifood Applications: A Comprehensive Review
Ander Gracia Moisés, Ignacio Vitoria, J. J. Imas, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8562-8562
Open Access | Times Cited: 25
Spice authentication by near-infrared spectroscopy: Current advances, limitations, and future perspectives
Eman Shawky, Lutfun Nahar, Sarah M. Nassief, et al.
Trends in Food Science & Technology (2024) Vol. 148, pp. 104522-104522
Closed Access | Times Cited: 10
Detection of cumin powder adulteration with allergenic nutshells using FT-IR and portable NIRS coupled with chemometrics
J.P. Cruz‐Tirado, Pedro Renann Lopes de França, Marlon Tumbajulca, et al.
Journal of Food Composition and Analysis (2022) Vol. 116, pp. 105044-105044
Closed Access | Times Cited: 34
Quantitative analysis of near infrared spectroscopic data based on dual-band transformation and competitive adaptive reweighted sampling
Yiming Li, Xinwu Yang
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 285, pp. 121924-121924
Closed Access | Times Cited: 33
Detection of nutshells in cumin powder using NIR hyperspectral imaging and chemometrics tools
Jhastin Florián-Huamán, J.P. Cruz‐Tirado, Douglas Fernandes Barbin, et al.
Journal of Food Composition and Analysis (2022) Vol. 108, pp. 104407-104407
Closed Access | Times Cited: 31
Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction
Syed Danish Ali, Sameen Raut, Joseph Dahlen, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1992-1992
Open Access | Times Cited: 8
Cross Branch Co-Attention Network multimodal models based on Raman and FTIR spectroscopy for diagnosis of multiple selected cancers
Xuguang Zhou, Chen Chen, Enguang Zuo, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112204-112204
Closed Access | Times Cited: 7
Vis–NIR Spectroscopy Combined with GAN Data Augmentation for Predicting Soil Nutrients in Degraded Alpine Meadows on the Qinghai–Tibet Plateau
Chuanli Jiang, Jianyun Zhao, Yuanyuan Ding, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3686-3686
Open Access | Times Cited: 13
Machine learning and flavoromics-based research strategies for determining the characteristic flavor of food: A review
Donglin Cai, Xueqing Li, Huifang Liu, et al.
Trends in Food Science & Technology (2024) Vol. 154, pp. 104794-104794
Closed Access | Times Cited: 5
Near-Infrared Spectroscopy with Machine Learning for Classifying and Quantifying Nutmeg Adulteration
Agustami Sitorus, Suluh Pambudi, Wutthiphong Boodnon, et al.
Analytical Letters (2023) Vol. 57, Iss. 2, pp. 285-306
Closed Access | Times Cited: 11
Determination of soluble solids content in loquat using near-infrared spectroscopy coupled with broad learning system and hybrid wavelength selection strategy
Peng Li, Qingting Jin, Huaming Liu, et al.
LWT (2024) Vol. 206, pp. 116570-116570
Open Access | Times Cited: 4
Modified Residual Variable Correlation Kernel Convolutional Neural Network for Classifying Spices
Reny Jose, K. Ponmozhi
Analytical Letters (2025), pp. 1-22
Closed Access
Rapidly detecting fennel origin of the near-infrared spectroscopy based on extreme learning machine
Enguang Zuo, Lei Sun, Junyi Yan, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Application of a generative adversarial network for multi-featured fermentation data synthesis and artificial neural network (ANN) modeling of bitter gourd–grape beverage production
Sefater Gbashi, Tintswalo Lindi Maselesele, Patrick Berka Njobeh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Origin identification of Cornus officinalis based on PCA-SVM combined model
Yueqiang Jin, Bing Liu, Chaoning Li, et al.
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0282429-e0282429
Open Access | Times Cited: 8
Generation of fruit’s spectra with hundreds of wavelengths from obtained multi-spectra and spectral application using deep learning
Zongyi Zhang, Shuochong Zeng, Tongkui Ji, et al.
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107882-107882
Closed Access | Times Cited: 8
Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry
Xiaoqin Yan, Hai‐Long Wu, Bin Wang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 295, pp. 122617-122617
Closed Access | Times Cited: 7
Application of spectral small-sample data combined with a method of spectral data augmentation fusion (SDA-Fusion) in cancer diagnosis
Xudan Zhang, Hongyi Li, Xuecong Tian, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104681-104681
Closed Access | Times Cited: 11
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