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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:

A selective ensemble preprocessing strategy for near-infrared spectral quantitative analysis of complex samples
Xihui Bian, Kaiyi Wang, Erxuan Tan, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 197, pp. 103916-103916
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

New data preprocessing trends based on ensemble of multiple preprocessing techniques
Puneet Mishra, Alessandra Biancolillo, Jean‐Michel Roger, et al.
TrAC Trends in Analytical Chemistry (2020) Vol. 132, pp. 116045-116045
Open Access | Times Cited: 330
Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues
Haipeng Wang, Pu Chen, Jiawei Dai, et al.
TrAC Trends in Analytical Chemistry (2022) Vol. 153, pp. 116648-116648
Closed Access | Times Cited: 165
Near infrared spectroscopy combined with chemometrics for quantitative analysis of corn oil in edible blend oil
Huan Zhang, Xiao Hu, Limei Liu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 270, pp. 120841-120841
Closed Access | Times Cited: 53
Rapid determination of the shell content in cocoa products using FT-NIR spectroscopy and chemometrics
Alissa Drees, Johannes Brockelt, L. Cvancar, et al.
Talanta (2023) Vol. 256, pp. 124310-124310
Closed Access | Times Cited: 28
Fusing spectral and image information for characterization of black tea grade based on hyperspectral technology
Yingqian Yin, Jiacong Li, Caijin Ling, et al.
LWT (2023) Vol. 185, pp. 115150-115150
Open Access | Times Cited: 25
A rapid method to predict type and adulteration of coconut milk by near-infrared spectroscopy combined with machine learning and chemometric tools
Agustami Sitorus, Ravipat Lapcharoensuk
Microchemical Journal (2023) Vol. 195, pp. 109461-109461
Closed Access | Times Cited: 23
Rapid assessment of vanilla (Vanilla planifolia) quality parameters using portable near-infrared spectroscopy combined with random forest
Widyaningrum Widyaningrum, Yohanes Aris Purwanto, Slamet Widodo, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106346-106346
Closed Access | Times Cited: 10
SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials
Puneet Mishra, Jean‐Michel Roger, Douglas N. Rutledge, et al.
Postharvest Biology and Technology (2020) Vol. 168, pp. 111271-111271
Open Access | Times Cited: 56
Near infrared spectroscopic variable selection by a novel swarm intelligence algorithm for rapid quantification of high order edible blend oil
Xihui Bian, Rongling Zhang, Peng Liu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 284, pp. 121788-121788
Closed Access | Times Cited: 34
Strategies for the content determination of capsaicin and the identification of adulterated pepper powder using a hand-held near-infrared spectrometer
Sijun Wu, Long Wang, Guoming Zhou, et al.
Food Research International (2022) Vol. 163, pp. 112192-112192
Closed Access | Times Cited: 32
Pre-processing ensembles with response oriented sequential alternation calibration (PROSAC): A step towards ending the pre-processing search and optimization quest for near-infrared spectral modelling
Puneet Mishra, Jean‐Michel Roger, Federico Marini, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 222, pp. 104497-104497
Open Access | Times Cited: 28
Stacking and ridge regression-based spectral ensemble preprocessing method and its application in near-infrared spectral analysis
Haowen Huang, Zile Fang, Yuelong Xu, et al.
Talanta (2024) Vol. 276, pp. 126242-126242
Closed Access | Times Cited: 6
XGBoost algorithm assisted multi-component quantitative analysis with Raman spectroscopy
Qiaoyun Wang, Xin Zou, Yinji Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 323, pp. 124917-124917
Closed Access | Times Cited: 6
Estimation of soil chromium content using visible and near-infrared spectroscopy coupled with discrete wavelet transform and long short-term memory model
Chengbiao Fu, Shuang Cao, Anhong Tian
Advances in Space Research (2025)
Closed Access
Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics
Maogang Li, Qi Cai, Tianlong Zhang, et al.
Journal of Chemometrics (2025) Vol. 39, Iss. 2
Closed Access
Application of subspace ensemble radical basis function networks to quantitative analysis of near-infrared and mid-infrared spectroscopy
Hui Chen, Chao Tan, Zan Lin
Microchemical Journal (2025), pp. 113354-113354
Closed Access
Application of portable visible and near-infrared spectroscopy for rapid detection of cooking loss rate in pork: Comparing spectra from frozen and thawed pork
Qin Ouyang, Lihua Liu, Muhammad Zareef, et al.
LWT (2022) Vol. 160, pp. 113304-113304
Open Access | Times Cited: 26
Authentication of Herbal Medicines Based on Modern Analytical Technology Combined with Chemometrics Approach: A Review
Chunlu Liu, Zhi‐Tian Zuo, Furong Xu, et al.
Critical Reviews in Analytical Chemistry (2022) Vol. 53, Iss. 7, pp. 1393-1418
Closed Access | Times Cited: 26
An automatic generation of pre-processing strategy combined with machine learning multivariate analysis for NIR spectral data
Nunik Destria Arianti, Edo Saputra, Agustami Sitorus
Journal of Agriculture and Food Research (2023) Vol. 13, pp. 100625-100625
Open Access | Times Cited: 14
A mid-infrared spectroscopy-random forest system for the origin tracing of Chinese geographical indication Aconiti Lateralis Radix Praeparata
Sheng Gong, Juanru Liu, Yushi Liu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 292, pp. 122394-122394
Closed Access | Times Cited: 12
Ultraviolet-visible diffuse reflectance spectroscopy combined with chemometrics for rapid discrimination of Angelicae Sinensis Radix from its four similar herbs
Xihui Bian, Zhankui Lu, Geert van Kollenburg
Analytical Methods (2020) Vol. 12, Iss. 27, pp. 3499-3507
Closed Access | Times Cited: 37
Parallel pre-processing through orthogonalization (PORTO) and its application to near-infrared spectroscopy
Puneet Mishra, Jean‐Michel Roger, Federico Marini, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 212, pp. 104190-104190
Open Access | Times Cited: 37
In-field chlorophyll estimation based on hyperspectral images segmentation and pixel-wise spectra clustering of wheat canopy
Dehua Gao, Lang Qiao, Di Song, et al.
Biosystems Engineering (2022) Vol. 217, pp. 41-55
Closed Access | Times Cited: 19
Quantitative model of near infrared spectroscopy based on pretreatment combined with parallel convolution neural network
Shui Yu, Kewei Huan, Xiaoxi Liu, et al.
Infrared Physics & Technology (2023) Vol. 132, pp. 104730-104730
Closed Access | Times Cited: 11
Characterization of ash content in wheat flour using data fusion
Jiacong Li, Shanzhe Zhang, Cuiling Liu, et al.
Infrared Physics & Technology (2023) Vol. 133, pp. 104792-104792
Closed Access | Times Cited: 10
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