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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:

Automatic materials characterization from infrared spectra using convolutional neural networks
Guwon Jung, Son Gyo Jung, Jacqueline M. Cole
Chemical Science (2023) Vol. 14, Iss. 13, pp. 3600-3609
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Automatic Prediction of Band Gaps of Inorganic Materials Using a Gradient Boosted and Statistical Feature Selection Workflow
Son Gyo Jung, Guwon Jung, Jacqueline M. Cole
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1187-1200
Open Access | Times Cited: 11
Machine learning for CO2 capture and conversion: A review
Sung Eun Jerng, Yang Jeong Park, Ju Li
Energy and AI (2024) Vol. 16, pp. 100361-100361
Open Access | Times Cited: 10
ZIF-8 Vibrational Spectra: Peak Assignments and Defect Signals
Mueed Ahmad, Roshan Patel, Dennis T. Lee, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 21, pp. 27887-27897
Closed Access | Times Cited: 9
Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks
Son Gyo Jung, Guwon Jung, Jacqueline M. Cole
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1486-1501
Open Access | Times Cited: 7
Machine learning for analyses and automation of structural characterization of polymer materials
Shizhao Lu, Arthi Jayaraman
Progress in Polymer Science (2024) Vol. 153, pp. 101828-101828
Closed Access | Times Cited: 6
A new staining method using different targeted fluorescent carbon dots for tissue sections analysis and diagnosis
Qianqian Duan, Qingxia Guo, Yanfeng Xi, et al.
Diamond and Related Materials (2025), pp. 111949-111949
Closed Access
Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants
Nitika Nitika, B. Keerthiveena, Garima Thakur, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 3, pp. 463-479
Closed Access | Times Cited: 5
Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives
Xinyu Lu, Hao-Ping Wu, Hao Ma, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7959-7975
Closed Access | Times Cited: 3
Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic Materials
Son Gyo Jung, Guwon Jung, Jacqueline M. Cole
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6388-6409
Open Access | Times Cited: 3
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors
Son Gyo Jung, Guwon Jung, Jacqueline M. Cole
Journal of Chemical Information and Modeling (2024)
Open Access | Times Cited: 3
Leveraging infrared spectroscopy for automated structure elucidation
Marvin Alberts, Teodoro Laino, Alain C. Vaucher
Communications Chemistry (2024) Vol. 7, Iss. 1
Closed Access | Times Cited: 3
Leveraging Infrared Spectroscopy for Automated Structure Elucidation
Marvin Alberts, Teodoro Laino, Alain C. Vaucher
(2023)
Open Access | Times Cited: 8
Gradient boosted and statistical feature selection workflow for materials property predictions
Son Gyo Jung, Guwon Jung, Jacqueline M. Cole
The Journal of Chemical Physics (2023) Vol. 159, Iss. 19
Open Access | Times Cited: 8
Quantitative analysis of MoS2 thin film micrographs with machine learning
Isaiah A. Moses, Wesley F. Reinhart
Materials Characterization (2024) Vol. 209, pp. 113701-113701
Open Access | Times Cited: 2
Machine Learning Models Capable of Chemical Deduction for Identifying Reaction Products
Tianfan Jin, Qiyuan Zhao, Andrew B. Schofield, et al.
(2023)
Open Access | Times Cited: 5
Infrared Spectral Analysis for Prediction of Functional Groups Based on Feature-Aggregated Deep Learning
Tianyi Wang, Ying Tan, Yu Chen, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4615-4622
Closed Access | Times Cited: 5
Patch-Based Convolutional Encoder: A Deep Learning Algorithm for Spectral Classification Balancing the Local and Global Information
Xinyu Lu, Chen-Yue Wang, Hui Tang, et al.
Analytical Chemistry (2024)
Closed Access | Times Cited: 1
Predictive Modeling of High-Entropy Alloys and Amorphous Metallic Alloys Using Machine Learning
Son Gyo Jung, Guwon Jung, Jacqueline M. Cole
Journal of Chemical Information and Modeling (2024)
Open Access | Times Cited: 1
Enhancement of the texture and microstructure of faba bean-based meat analogues with brewers' spent grain through enzymatic treatments
Yue Fan, Shiyu Zheng, Pratheep K. Annamalai, et al.
Sustainable Food Technology (2024) Vol. 2, Iss. 3, pp. 826-836
Open Access
Identification of Reaction Network Hypotheses for Complex Feedstocks from Spectroscopic Measurements with Minimal Human Intervention
Karthik Srinivasan, Anjana Puliyanda, Vinay Prasad
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 23, pp. 4714-4729
Closed Access
Deductive machine learning models for product identification
Tianfan Jin, Qiyuan Zhao, Andrew B. Schofield, et al.
Chemical Science (2024) Vol. 15, Iss. 30, pp. 11995-12005
Open Access
Fcg-Former: Identification of Functional Groups in FTIR Spectra Using Enhanced Transformer-Based Model
Vu Hoang Minh Doan, Cao Duong Ly, Sudip Mondal, et al.
Analytical Chemistry (2024)
Closed Access
Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real world data
Dev Punjabi, Yu‐Chieh Huang, Laura Holzhauer, et al.
(2024)
Open Access
Nanotechnology characterization: Emerging techniques for accurate and reliable nanostructural analysis
Adeola Borode, Thato Tshephe, Samuel Olukayode Akinwamide, et al.
Elsevier eBooks (2024), pp. 57-91
Closed Access
Integrated Machine Learning/FT-IR Framework for Efficient Solvent Composition Analysis in Carbon Capture
Ahmad Syauqi, Atabay Allamyradov, Cristóbal Quintana, et al.
Industrial & Engineering Chemistry Research (2024)
Closed Access
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