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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:

Asymmetric stacked autoencoder
Angshul Majumdar, Aditay Tripathi
2022 International Joint Conference on Neural Networks (IJCNN) (2017) Vol. 11, pp. 911-918
Closed Access | Times Cited: 23

Showing 23 citing articles:

Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE
Xiaofeng Yuan, Chen Ou, Yalin Wang, et al.
Neurocomputing (2019) Vol. 396, pp. 375-382
Closed Access | Times Cited: 108
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
Daqiu Li, Zhangjie Fu, Jun Xu
Applied Intelligence (2020) Vol. 51, Iss. 5, pp. 2805-2817
Open Access | Times Cited: 47
Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning
Peng Yang, Kamran Esmaeili, Sebastian D. Goodfellow, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1641-1641
Open Access | Times Cited: 13
Generative Models for Low-Dimensional Video Representation and Reconstruction
Rakib Hyder, M. Salman Asif
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 1688-1701
Open Access | Times Cited: 22
A Deep Learning Approach to Online Social Network Account Compromisation
Edward Kwadwo Boahen, Brunel Elvire Bouya-Moko, Faizan Qamar, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 6, pp. 3204-3216
Closed Access | Times Cited: 11
Attention-Based Event Characterization for Scarce Vehicular Sensing Data
Nima Taherifard, Murat Şimşek, Charles Lascelles, et al.
IEEE Open Journal of Vehicular Technology (2020) Vol. 1, pp. 317-330
Open Access | Times Cited: 12
Asymmetric Supervised Deep Autoencoder for Depth Image based 3D Model Retrieval
Ayesha Siddiqua, Guoliang Fan
(2019), pp. 1-4
Closed Access | Times Cited: 11
Stacked autoencoder with novel integrated activation functions for the diagnosis of autism spectrum disorder
M. Kaviya Elakkiya, D. Dejey
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 17043-17075
Closed Access | Times Cited: 3
Machine Load Estimation Via Stacked Autoencoder Regression
Tulika Bose, Angshul Majumdar, Tanushyam Chattopadhyay
(2018), pp. 2126-2130
Closed Access | Times Cited: 9
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization
Kavya Gupta, Angshul Majumdar
Neural Processing Letters (2017) Vol. 48, Iss. 1, pp. 615-629
Closed Access | Times Cited: 4
Possibilities of Seismic Data Preprocessing for Deep Neural Network Analysis
К. В. Кислов, В. В. Гравиров, Fedor Vinberg
Izvestiya Physics of the Solid Earth (2020) Vol. 56, Iss. 1, pp. 133-144
Closed Access | Times Cited: 4
CompressKey—Near Lossless Layout Compression and Encryption Using Convolutional Auto-Encoder Model and Expansion-Reduction Pattern Techniques
Qing Zhang, Xinzi Xu, Yuhang Zhang, et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2022) Vol. 42, Iss. 4, pp. 1030-1043
Closed Access | Times Cited: 3
Conditional checkpoint selection strategy based on sentence structures for text to triple translation using BiLSTM encoder–decoder model
Manu Shrivastava, Kosei Shibata, Hiroaki Wagatsuma
International Journal of Data Science and Analytics (2024)
Closed Access
Hierarchical Autoencoder for Collaborative Filtering
Shubham Maheshwari, Angshul Majumdar
2022 International Joint Conference on Neural Networks (IJCNN) (2018), pp. 1-7
Closed Access | Times Cited: 3
Asymmetric-Based Residual Shrinkage Encoder Bearing Health Index Construction and Remaining Life Prediction
Baobao Zhang, Jianjie Zhang, Peibo Yu, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6510-6510
Open Access
Deep Learning with Electrocardiograms
Wesley Chorney, Haifeng Wang, Lir‐Wan Fan
Springer optimization and its applications (2024), pp. 233-258
Closed Access
Instant-Hybrid Neural-Cryptography (IHNC) based on fast machine learning
Assem Badr
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19953-19972
Open Access | Times Cited: 2
Deep Dynamic Factor Models.
Paolo Andreini, Cosimo Izzo, G. Ricco
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
Tuning Stacked Auto-encoders for Energy Consumption Prediction: A Case Study
Muhammed Maruf Öztürk
International Journal of Information Technology and Computer Science (2019) Vol. 11, Iss. 2, pp. 1-8
Open Access | Times Cited: 1
Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study
Laura Connolly, Amoon Jamzad, Martin Kaufmann, et al.
(2020), pp. 25-25
Closed Access | Times Cited: 1
Learning Context-Based Representations of Events in Complex Processes
Pedro Gamallo-Fernandez, Juan C. Vidal, Manuel Lama
(2023), pp. 214-223
Closed Access
Asymmetric Autoencoders for Factor-Based Covariance Matrix Estimation
Kevin Huynh, Gregor Lenhard
(2022) Vol. 12, pp. 403-410
Open Access
Multi-modal Asymmetric Autoencoders for Massive Photo Collection Applications
Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud
(2022), pp. 50-54
Closed Access
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