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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:

Deep adversarial data augmentation for biomedical spectroscopy: Application to modelling Raman spectra of bone
Eleftherios Pavlou, N. Kourkoumelis
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 228, pp. 104634-104634
Closed Access | Times Cited: 18

Showing 18 citing articles:

SERSomes for metabolic phenotyping and prostate cancer diagnosis
Xinyuan Bi, Jiayi Wang, Bingsen XUE, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 6, pp. 101579-101579
Open Access | Times Cited: 17
Optimizing Starch Content Prediction in Kudzu: Integrating Hyperspectral Imaging and Deep Learning with WGAN-GP
Huiqiang Hu, Yunlong Mei, Yiming Zhou, et al.
Food Control (2024) Vol. 166, pp. 110762-110762
Closed Access | Times Cited: 10
Reconstructing Spectral Shapes with GAN Models: A Data-Driven Approach for High-Resolution Spectra from Low-Resolution Spectrometers
M. H. Tai, Cheng‐Che Hsu
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105333-105333
Closed Access | Times Cited: 1
Toward smart diagnostics via artificial intelligence-assisted surface-enhanced Raman spectroscopy
Amauri Horta-Velázquez, Fernando Arce, Erika Rodríguez‐Sevilla, et al.
TrAC Trends in Analytical Chemistry (2023) Vol. 169, pp. 117378-117378
Closed Access | Times Cited: 14
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
Matheus B. Rocha, Flavio P. Loss, Pedro Henrique da Cunha, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 4, pp. 824-835
Open Access | Times Cited: 5
VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms
Matheus B. Rocha, Renato A. Krohling
Knowledge and Information Systems (2024) Vol. 66, Iss. 10, pp. 6415-6437
Closed Access | Times Cited: 4
Spectral classification by generative adversarial linear discriminant analysis
Ziyi Cao, Shijie Zhang, Youlin Liu, et al.
Analytica Chimica Acta (2023) Vol. 1261, pp. 341129-341129
Open Access | Times Cited: 10
Comparison of data augmentation and classification algorithms based on plastic spectroscopy
Jiachao Luo, Qunbiao Wu, Jin Xin Cao, et al.
Analytical Methods (2025)
Closed Access
A lightweight model for plastic classification based on data augmentation
Jiachao Luo, WU Qun-bia, Haifeng Fang, et al.
Journal of Cleaner Production (2025), pp. 144775-144775
Closed Access
A general framework for qualitative analysis of Raman spectroscopy based on deep learning
Mingxin Yu, Lianyu Li, Rui You, et al.
Microchemical Journal (2024) Vol. 199, pp. 109990-109990
Closed Access | Times Cited: 2
Improved bioimpedance spectroscopy tissue classification through data augmentation from generative adversarial networks
C. McDermott, Samuel Lovett, Carlos Rossa
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 4, pp. 1177-1189
Closed Access | Times Cited: 6
Balancing data imbalance in biomedical datasets using a stacked augmentation approach with STDA, DAGAN, and pufferfish optimization to reveal AI's transformative impact
Bhaskar Kumar Veedhi, Kaberi Das, Debahuti Mishra, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
AE-BEGAN based Synthetic Data Augmentation for Sample-Limited High-Dimensional Problems with Application to NIR Spectral Data
Xin-Yue Luo, Xing-Rong Fan, Xian‐Ming Zhang, et al.
Journal of Physics Conference Series (2023) Vol. 2594, Iss. 1, pp. 012029-012029
Open Access | Times Cited: 1
General Network Framework for Mixture Raman Spectrum Identification Based on Deep Learning
Yilong Zhang, Tianke Wang, Kang Du, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10245-10245
Open Access
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniques
Shuai Wei, Xuecong Tian, Enguang Zuo, et al.
Artificial Intelligence in Medicine (2024) Vol. 160, pp. 103053-103053
Closed Access
Development of a Multimodal Photoluminescent Carbon Nanosensor for Metal Ions in Water Using Artificial Neural Networks
G. N. Chugreeva, Kirill Laptinskiy, И. В. Пластинин, et al.
Moscow University Physics Bulletin (2024) Vol. 79, Iss. S2, pp. S844-S853
Closed Access
Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development
Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, et al.
Information (2023) Vol. 15, Iss. 1, pp. 12-12
Open Access
Electrical Impedance Spectroscopy with Multi-modal Tissue Discrimination for Ultrasound-Guided Targeted Biopsy
C. McDermott
(2023)
Open Access
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