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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:

Feature importance measures from random forest regressor using near-infrared spectra for predicting carbonization characteristics of kraft lignin-derived hydrochar
Sung‐Wook Hwang, Hyunwoo Chung, Tae‐Kyeong Lee, et al.
Journal of Wood Science (2023) Vol. 69, Iss. 1
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

One-dimensional convolutional neural networks with infrared spectroscopy for classifying the origin of printing paper
Sung‐Wook Hwang, Geungyong Park, Jinho Kim, et al.
BioResources (2024) Vol. 19, Iss. 1, pp. 1633-1651
Open Access | Times Cited: 7
Random Forest Regressor for Predicting Sensory Texture of Emotional Designed Packaging Films
Yong Ju Lee, Min Jung Joo, Ha Kyoung Yu, et al.
Results in Engineering (2025) Vol. 25, pp. 104147-104147
Open Access
Methods for Estimating Resting Energy Expenditure in Intensive Care Patients: A comparative study of Predictive Equations with Machine Learning and Deep Learning Approaches
Christopher Yew Shuen Ang, Mohd Basri Mat Nor, Nurdiana Nordin, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 262, pp. 108657-108657
Closed Access
Recent developments in the use of machine learning in catalysis: A broad perspective with applications in kinetics
Leandro Goulart de Araujo, Léa Vilcocq, Pascal Fongarland, et al.
Chemical Engineering Journal (2025), pp. 160872-160872
Closed Access
A tree-based machine learning surrogate model for predicting off-axis tensile mechanical properties of 2.5D woven composites at high temperatures
Chao Zhang, Zeyu Bian, Tinh Quoc Bui, et al.
Composite Structures (2025), pp. 119044-119044
Closed Access
The effects of feedstock types and their properties on hydrothermal carbonisation and resulting hydrochar: A review
Vigneshwaran Shanmugam, Elif Kaynak, Oisik Das, et al.
Current Opinion in Green and Sustainable Chemistry (2025), pp. 101024-101024
Open Access
Interpretability in near-infrared (NIR) spectroscopy: Current pathways to the long-standing challenge
Krzysztof B. Beć, Justyna Grabska, Christian W. Huck
TrAC Trends in Analytical Chemistry (2025) Vol. 189, pp. 118254-118254
Open Access
Cellulose I Crystallinity Estimation Using a Combination of Infrared Spectroscopy and Machine Learning Approaches
Yong Ju Lee, Do Young Lee, Tai-Ju Lee, et al.
(2025)
Closed Access
A novel multi-model estimation of phosphorus in coal and its ash using FTIR spectroscopy
Arya Vinod, A. K. Prasad, Sameeksha Mishra, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Predictive Modeling of Traditional Korean Paper Characteristics Using Machine Learning Approaches (Part 1): Discriminating Manufacturing Origins with Artificial Neural Networks and Infrared Spectroscopy
Sung‐Wook Hwang, Geunyong Park, Jin-Ho Kim, et al.
Journal of Korea Technical Association of The Pulp and Paper Industry (2023) Vol. 55, Iss. 4, pp. 57-69
Open Access | Times Cited: 8
Research on CO2–WAG in Thick Reservoirs: Geological Influencing Factors and Random Forest Importance Evaluation
Luo Qiang, Yunbo Li, Hao Sun, et al.
ACS Omega (2024) Vol. 9, Iss. 31, pp. 34118-34127
Open Access | Times Cited: 2
Analysis and Prediction of the Impact of Socio-Economic and Meteorological Factors on Rapeseed Yield Based on Machine Learning
Jiaping Liang, Hang Li, Na Li, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1867-1867
Open Access | Times Cited: 6
Evaluating the performance of machine learning and variable selection methods to identify document paper using infrared spectral data
Yong Ju Lee, Soon Wan Kweon, Chang Woo Jeong, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125299-125299
Closed Access | Times Cited: 1
Stacking ensemble learning algorithm based rapid inverse modelling of copper grade using imaging spectral data
J.-Z. Wang, Jingxiang Gao
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105308-105308
Open Access | Times Cited: 1
Research on an Innovative Feature Importance Recognition Algorithm Based on GINI-OOB Index
Jiayi Chen, Rui Tan, Yang Ying
(2023), pp. 862-866
Closed Access | Times Cited: 3
Predictive Modeling for Degree of Substitution of Cellulose Acetate using Infrared Spectroscopy and Machine Learning
Yong Ju Lee, Ji Eun Lee, Jaegyoung Gwon, et al.
Journal of Korea Technical Association of The Pulp and Paper Industry (2023) Vol. 55, Iss. 5, pp. 83-95
Open Access | Times Cited: 3
Predictive Modeling of Korean Traditional Paper Characteristics Using Machine Learning Approaches (Part 2): Prediction of Carbonyl Content and Analysis of Variable Importance Using Random Forest
Kang-Jae Kim, Jin-Ho Kim, Geunyong Park, et al.
Journal of Korea Technical Association of The Pulp and Paper Industry (2023) Vol. 55, Iss. 5, pp. 13-23
Open Access | Times Cited: 3
Effect of a water-tolerant Lewis acid catalyst on the yields and properties of hydrochars from hydrothermal carbonization of walnut wood
Betül Ercan, Yusuf O. Ajagbe, Suat Uçar, et al.
Wood Science and Technology (2023) Vol. 57, Iss. 4, pp. 945-964
Closed Access | Times Cited: 2
Improving time efficiency in big data through progressive sampling-based classification model
Nandita Bangera, Kayarvizhy Kayarvizhy, Shubham Luharuka, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 248-248
Open Access
Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model
Mohamed Zul Fadhli Khairuddin, Suresh Sankaranarayanan, Khairunnisa Hasikin‬, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1985-e1985
Open Access
Rapid and Nondestructive Determination of Oil Content and Distribution of Potato Chips Using Hyperspectral Imaging and Chemometrics
Yue Sun, Nikhita Sai Nayani, Yixiang Xu, et al.
ACS Food Science & Technology (2024) Vol. 4, Iss. 6, pp. 1579-1588
Open Access
Stacking Ensemble Learning Algorithm Based Rapid Inverse Modelling of Copper Grade Using Imaging Spectral Data
Jingli Wang, Jingxiang Gao
(2024)
Closed Access
IIP-Mixer: Intra–Inter-Patch Mixing Architecture for Battery Remaining Useful Life Prediction
Guangzai Ye, Li Feng, Jianlan Guo, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3553-3553
Open Access
Identification of mine water source by random forest combined with laser-induced fluorescence spectra
Xiaona Ma, Pengcheng Yan, Kun Wang
Frontiers in Environmental Science (2024) Vol. 12
Open Access
The OED–BO–RFR model for predicting CBM pressure during the pre-drainage process
Tianxuan Hao, Lizhen Zhao, Dengke Wang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access
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