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:

A comprehensive survey on design and application of autoencoder in deep learning
Pengzhi Li, Yan Pei, Jianqiang Li
Applied Soft Computing (2023) Vol. 138, pp. 110176-110176
Closed Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Autoencoders and their applications in machine learning: a survey
Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 106

A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
Khaled Bayoudh
Information Fusion (2023) Vol. 105, pp. 102217-102217
Closed Access | Times Cited: 32

Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 31

Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda
Johannes Schneider
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 13

Denoising of Geochemical Data using Deep Learning–Implications for Regional Surveys
Steven E. Zhang, Julie E. Bourdeau, Glen T. Nwaila, et al.
Natural Resources Research (2024) Vol. 33, Iss. 2, pp. 495-520
Open Access | Times Cited: 9

A data-driven inverse design framework for tunable phononic crystals
Honggen Zhou, Ning Chen, Baizhan Xia, et al.
Engineering Structures (2025) Vol. 327, pp. 119599-119599
Closed Access | Times Cited: 1

Generative Spatial Artificial Intelligence for Sustainable Smart Cities: A Pioneering Large Flow Model for Urban Digital Twin
Jeffrey Huang, Simon Elias Bibri, Paul Keel
Environmental Science and Ecotechnology (2025) Vol. 24, pp. 100526-100526
Open Access | Times Cited: 1

A deep learning approach for predicting the architecture of 3D textile fabrics
А. А. Коптелов, Adam J. Thompson, Stephen R. Hallett, et al.
Materials & Design (2024) Vol. 239, pp. 112803-112803
Open Access | Times Cited: 7

Classification of Plant Leaf Disease Recognition Based on Self-Supervised Learning
Yuzhi Wang, Yunzhen Yin, Yaoyu Li, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 500-500
Open Access | Times Cited: 7

A Battery Prognostics and Health Management Technique Based on Knee Critical Interval and Linear Complexity Self-Attention Transformer in Electric Vehicles
Yan Ma, Jiaqi Li, Yunfeng Hu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 10216-10230
Closed Access | Times Cited: 6

Opportunities and challenges of on-board AI-based image recognition for small satellite Earth observation missions
Bharadwaj Chintalapati, Arthur De Freitas E Precht, Sougata Hanra, et al.
Advances in Space Research (2024)
Open Access | Times Cited: 6

Ensemble-based deep learning model for welding defect detection and classification
Vinod Vasan, Naveen Venkatesh Sridharan, Rebecca Jeyavadhanam Balasundaram, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108961-108961
Closed Access | Times Cited: 6

Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples
Yawei Sun, Hongfeng Tao, Vladimir Stojanović
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109402-109402
Closed Access | Times Cited: 6

Academic Education in the Era of Generative Artificial Intelligence
Maryam Vafadar, Ali Moradi Amani
Journal of Electronics and Electrical Engineering (2024)
Open Access | Times Cited: 5

Image inpainting based on GAN-driven structure- and texture-aware learning with application to object removal
Chia‐Hung Yeh, Hsin-Fu Yang, Mei‐Juan Chen, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111748-111748
Closed Access | Times Cited: 5

Literature survey on deep learning methods for liver segmentation from CT images: a comprehensive review
S. S. Kumar, Vinod Kumar R. S.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 28, pp. 71833-71862
Closed Access | Times Cited: 4

BERT-DXLMA: Enhanced representation learning and generalization model for english text classification
Xingliang Mao, Zhuhao Li, Qingxi Li, et al.
Neurocomputing (2025), pp. 129325-129325
Open Access

Quantum adversarial generation of high-resolution images
QuanGong Ma, ChaoLong Hao, Nianwen Si, et al.
EPJ Quantum Technology (2025) Vol. 12, Iss. 1
Open Access

Reconstruction of pile-up events using a one-dimensional convolutional autoencoder for the NEDA detector array
J. M. Deltoro, G. Jaworski, A. Goasduff, et al.
Nuclear Science and Techniques (2025) Vol. 36, Iss. 2
Closed Access

DAE-BiLSTM Model for Accurate Diagnosis of Bearing Faults in Escalator Principal Drive Systems
Xiyang Jiang, Zhuangzhuang Zhang, Hang Yuan, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 202-202
Open Access

Reverse design of broadband sound absorption structure based on deep learning method
Yihong Zhou, Lifeng Ma, Kang Xi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Optimization of Concentrated Solar Power Subsystems with a focus on green certificate acquisition
Bo Wu, Xiuli Wang, Bangyan Wang, et al.
Solar Energy (2025) Vol. 288, pp. 113242-113242
Closed Access

Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization
O. V. Ilina, М. В. Терешонок, Vadim Ziyadinov
Journal of Imaging (2025) Vol. 11, Iss. 1, pp. 26-26
Open Access

Future prospective of neuromorphic computing in artificial intelligence: A review, methods, and challenges
Vivek Kumar, Kapil Joshi, Rajiv Kumar, et al.
Elsevier eBooks (2025), pp. 185-197
Closed Access

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