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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.

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Showing 19 citing articles:

Developing a quantitative adulteration discrimination model for forest-grown Panax notoginseng using near-infrared spectroscopy with a dual-branch network
Chao Ji, Haoran Ba, J. P. Dai, et al.
Food Research International (2025) Vol. 205, pp. 115879-115879
Closed Access
Compressed Chromatographic Fingerprint of Artemisiae argyi Folium Empowered by 1D-CNN: Reduce Mobile Phase Consumption using Chemometric Algorithm
Wennan Nie, Jiahe Qian, Cunhao Li, et al.
Journal of Chromatography A (2025), pp. 465874-465874
Closed Access
Rapid Quality Evaluation of Moutan Cortex (Paeonia suffruticosa Andrews) by Near-infrared Spectroscopy and Bionic Swarm Intelligent Optimization Algorithm
Ying Qiao, Yatong Kang, Ting Long, et al.
Journal of Pharmaceutical and Biomedical Analysis (2025), pp. 116822-116822
Closed Access
Quality Evaluation of Wenyujin Rhizoma Concisum From Different Districts in China Based on HPLC, Heracles NEO Ultrafast Gas‐Phase Electronic Nose, and FT‐NIR
S J Wang, Kewei Zhang, Xiuqi Gan, et al.
Phytochemical Analysis (2025)
Closed Access
Comparative analysis of spectral variable selection methods for NIR-based multi-component detection of Xanthoceras sorbifolium Bunge seed kernels
Shengxin Li, Ziyan Zhang, Zhiran Zhang, et al.
Microchemical Journal (2025), pp. 113128-113128
Closed Access
Hyperspectral imaging based smart process analytical technology for rapid and nondestructive muti-objective monitoring in fluidized bed granulation of Ginkgo ester
Xiao Yang, Meifang Jiang, Yuxia Deng, et al.
Microchemical Journal (2025), pp. 113387-113387
Closed Access
FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration
Chen Ying, Si Li, Jia Jia, et al.
Food Chemistry X (2024) Vol. 24, pp. 101798-101798
Open Access | Times Cited: 3
A method of maize seed variety identification based on near-infrared spectroscopy combined with improved DenseNet model
Haichao Zhou, Haiou Guan, Xiaodan Ma, et al.
Microchemical Journal (2024) Vol. 206, pp. 111542-111542
Closed Access | Times Cited: 3
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: 2
A detection method of Auricularia auricula mycelium storage period based on near-infrared spectral characteristics and deep learning model
Haiou Guan, Haichao Zhou, Xiaodan Ma, et al.
Infrared Physics & Technology (2024) Vol. 141, pp. 105460-105460
Closed Access | Times Cited: 1
Non-destructive geographical traceability of American ginseng using near-infrared spectroscopy combined with a novel deep learning model
Yang Yu, Siqi Wang, Qibing Zhu, et al.
Journal of Food Composition and Analysis (2024), pp. 106736-106736
Closed Access | Times Cited: 1
Integrating progressive screening strategy-based continuous wavelet transform with EfficientNetV2 for enhanced near-infrared spectroscopy
X. Liu, Di Wang, Rui Wang, et al.
Talanta (2024) Vol. 284, pp. 127188-127188
Closed Access | Times Cited: 1
Improved BP Neural Network Algorithm for Predicting Structural Parameters of Mirrors
Kejuan Xue, Jinsong Wang, Yuan Chen, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2789-2789
Open Access
The method based on ATR‐FTIR spectroscopy combined with feature variable selection for the boletus species and origins identification
Zhiyi Ji, Honggao Liu, Jieqing Li, et al.
Food Science & Nutrition (2024) Vol. 12, Iss. 10, pp. 7696-7707
Open Access
An integrated and rapid evaluation of Curcumae Radix from different botanical origins based on chemical components, antiplatelet aggregation effect and Fourier transform near-infrared spectroscopy
Meng Wang, Tingting Hu, Yuhang Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 324, pp. 124992-124992
Closed Access
Application of spectroscopic technology with machine learning in Chinese herbs from seeds to medicinal materials: The case of genus Paris
Yangna Feng, Xinyan Zhu, Yuanzhong Wang
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 2, pp. 101103-101103
Open Access
Geographical Origin Traceability of Atractylodis Macrocephalae Rhizoma Based on Chemical Composition, Chromaticity, and Electronic Nose
Ruiqi Yang, Yushi Wang, Jiayu Wang, et al.
Molecules (2024) Vol. 29, Iss. 21, pp. 4991-4991
Open Access
The integration of machine learning into traditional Chinese medicine
Yanfeng Hong, Sisi Zhu, Yuhong Liu, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101157-101157
Open Access
Integrated Multispectral and Multilevel Data Optimization for Rapid Origin Tracing and Quality Assessment of Salvia Miltiorrhiza
Rao Fu, Chen Peng, Jia Qiao, et al.
(2024)
Closed Access
Advanced applications of spectral technology combined with chemometrics in rapid quantitative analysis and holistic quality evaluation of Cortex Fraxini
Mengyao Chen, Chunling Yin, Leqian Hu, et al.
Microchemical Journal (2024), pp. 112411-112411
Closed Access
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