Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks
Joaquín Figueroa Barraza, Enrique López Droguett, Marcelo Ramos Martins
Sensors (2021) Vol. 21, Iss. 17, pp. 5888-5888
Open Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

Next-gen sequencing-driven antigen screening technology in vaccine development
Alisha Dash
Elsevier eBooks (2024), pp. 237-261
Closed Access | Times Cited: 1
FeaSel-Net: A Recursive Feature Selection Callback in Neural Networks
Felix Fischer, Alexander Birk, Peter Somers, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 4, pp. 968-993
Open Access | Times Cited: 5
Serial Weakening of Human-Based Attributes Regarding Their Effect on Content-Based Speech Recognition
Amir Rahdar, Davood Gharavian, Waldemar Jęśko
IEEE Access (2023) Vol. 11, pp. 24394-24406
Open Access | Times Cited: 2
Tbexplain: A Text-Based Explanation Method for Scene Classification Models with the Statistical Prediction Correction
Amirhossein Aminimehr, Pouya Khani, Amirali Molaei, et al.
(2023)
Open Access | Times Cited: 2
A health status estimation method based on interpretable neural network observer for HVs
Dengji Zhou, Yaoxin Shen, Yadong Wu, et al.
ISA Transactions (2023) Vol. 145, pp. 253-264
Closed Access | Times Cited: 2
Geospatial Features Influencing the Formation of COVID-19 Clusters
Radiah Haque, Choo‐Yee Ting, Yeo Keat Ee, et al.
Journal of System and Management Sciences (2022)
Open Access | Times Cited: 3
Identification of intraoperative hypoxemia and hypoproteinemia as prognostic indicators in anastomotic leakage post-radical gastrectomy: an 8-year multicenter study utilizing machine learning techniques
Yuan Liu, Songyun Zhao, Xingchen Shang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
PhenoEncoder: A Discriminative Embedding Approach to Genomic Data Compression
Gizem Taş, Eric Postma, Marleen Balvert, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Application of glass box AI to large numbers of medical records for rapid response to future respiratory virus pandemics. Examples considering potential future high-fatality COVID strains and a potential avian influenza pandemic in humans
Barry Robson, O.K. Baek
Informatics in Medicine Unlocked (2024) Vol. 46, pp. 101454-101454
Open Access
Revision and implementation of metrics to evaluate the performance of prognostics models
Márcia Baptista, Sahil Panse, Bruno F. Santos
Measurement (2024) Vol. 236, pp. 115038-115038
Open Access
Utilising intraoperative respiratory dynamic features for developing and validating an explainable machine learning model for postoperative pulmonary complications. Comment on Br J Anaesth 2024; 132: 1315–26
Zheng Chen, Shiyao Gu, Si Zeng
British Journal of Anaesthesia (2024) Vol. 133, Iss. 3, pp. 698-699
Closed Access
Feature analysis and ensemble-based fault detection techniques for nonlinear systems
Roland Bolboacă, Piroska Haller, Béla Genge
Neural Computing and Applications (2024)
Open Access
Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices
Sesan Akintade, Seong‐Tae Kim, Kaushik Roy
IFIP advances in information and communication technology (2023), pp. 69-80
Closed Access | Times Cited: 1
Explainable Artificial Intelligence for Anomaly Detection and Prognostic of Gas Turbines using Uncertainty Quantification with Sensor-Related Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
(2021)
Open Access | Times Cited: 2
An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction
Zahra Sedighi-Maman, Jonathan J. Heath
Sensors (2022) Vol. 22, Iss. 18, pp. 6783-6783
Open Access | Times Cited: 1
Research in System Reliability and Risk Analysis under development at the Naval Architecture and Ocean Engineering Department from University of São Paulo
Danilo Taverna Martins Pereira de Abreu, J.E.F. Barraza, M.V. Clavijo, et al.
IFAC-PapersOnLine (2022) Vol. 55, Iss. 19, pp. 193-198
Open Access | Times Cited: 1
Frameworks for interpretability of deep learning-based prognostics and health management
Joaquín Eduardo Figueroa Barraza
(2022)
Open Access | Times Cited: 1
An Improved Similarity Trajectory Method Based on Monitoring Data under Multiple Operating Conditions
Jiancheng Yin, Yuqing Li, Rixin Wang, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10968-10968
Open Access | Times Cited: 1
Peer Review #1 of "Review of feature selection approaches based on grouping of features (v0.1)"

(2023)
Open Access
Peer Review #3 of "Review of feature selection approaches based on grouping of features (v0.2)"

(2023)
Open Access
Peer Review #3 of "Review of feature selection approaches based on grouping of features (v0.1)"
Cihan Kuzudisli, Burcu Bakır-Güngör, Nurten Bulut, et al.
(2023)
Open Access
Peer Review #2 of "Review of feature selection approaches based on grouping of features (v0.1)"
Nisha Puthiyedth
(2023)
Open Access
Peer Review #3 of "Review of feature selection approaches based on grouping of features (v0.3)"
Cihan Kuzudisli, Burcu Bakır-Güngör, Nurten Bulut, et al.
(2023)
Open Access
Previous Page - Page 2

Scroll to top