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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:

Pattern Analysis Framework With Graphical Indices for Condition-Based Monitoring
Nishchal K. Verma, Rahul K. Sevakula, Raghuveer Thirukovalluru
IEEE Transactions on Reliability (2017) Vol. 66, Iss. 4, pp. 1085-1100
Closed Access | Times Cited: 25

Showing 25 citing articles:

A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack
Xiaodan Yan, Baojiang Cui, Yang Xu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 3, pp. 871-881
Closed Access | Times Cited: 70
Condition Monitoring of Machines Using Fused Features From EMD-Based Local Energy With DNN
Seetaram Maurya, Vikas Singh, Nishchal K. Verma
IEEE Sensors Journal (2019) Vol. 20, Iss. 15, pp. 8316-8327
Closed Access | Times Cited: 47
Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity
Teng Wang, Guoliang Lu, Jie Liu, et al.
IEEE Transactions on Reliability (2018) Vol. 68, Iss. 3, pp. 1034-1049
Closed Access | Times Cited: 43
Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder
Gaurav Dewangan, Seetaram Maurya
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 2, pp. 287-296
Closed Access | Times Cited: 30
Industrial cyber-physical system for condition-based monitoring in manufacturing processes
Alberto Villalonga, Gerardo Beruvides, Fernando Castaño, et al.
(2018), pp. 637-642
Closed Access | Times Cited: 26
Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN
Seetaram Maurya, Vikas Singh, Nishchal K. Verma, et al.
IEEE Transactions on Automation Science and Engineering (2020) Vol. 18, Iss. 4, pp. 1983-1997
Closed Access | Times Cited: 23
Quick Learning Mechanism With Cross-Domain Adaptation for Intelligent Fault Diagnosis
Arun Kumar Sharma, Nishchal K. Verma
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 3, pp. 381-390
Open Access | Times Cited: 14
Fusion of Low-level Features with Stacked Autoencoder for Condition based Monitoring of Machines
Seetaram Maurya, Vikas Singh, Sonal Dixit, et al.
(2018), pp. 1-8
Closed Access | Times Cited: 17
quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method
Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 3939-3950
Open Access | Times Cited: 1
Improved EMD Local Energy with SVM for Fault Diagnosis in Air Compressor
Seetaram Maurya, Vikas Singh, Narendra Kumar Dhar, et al.
Advances in intelligent systems and computing (2018), pp. 81-92
Closed Access | Times Cited: 13
Condition Based Monitoring of Machine Using Mamdani Fuzzy Network
Arun Kumar Sharma, Vikas Singh, Nishchal K. Verma, et al.
(2018), pp. 1159-1163
Closed Access | Times Cited: 13
Feature Selection
Nishchal K. Verma, Al Salour
Studies in systems, decision and control (2020), pp. 175-200
Closed Access | Times Cited: 8
Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches
Jyotirmoy Sarkar, Snehanshu Saha, Santonu Sarkar
Applied Intelligence (2022) Vol. 53, Iss. 8, pp. 8562-8595
Closed Access | Times Cited: 4
Computational Framework for Machine Fault Diagnosis with Autoencoder Variants
Nishchal K. Verma, Sonal Dixit, Rahul K. Sevakula, et al.
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (2018), pp. 353-358
Closed Access | Times Cited: 5
Prognosis of Diesel Engine (MBT) Using Feature Extraction Techniques: A Comparative Study
Gaurav Saraswat, Vikas Singh, Nishchal K. Verma, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 4
A Novel Vision Transformer with Probabilistic Residual in Self-Attention for Pattern Recognition
Arun Sharma, Nishchal K. Verma
(2024)
Closed Access
A Maintenance-Based Project Management Approach towards Organizational Sustainability Goals
Enrique García-García, Sergio Gallego-García, Diqian Ren, et al.
Advances in science and technology (2023) Vol. 132, pp. 384-393
Closed Access | Times Cited: 1
Pre-processing
Nishchal K. Verma, Al Salour
Studies in systems, decision and control (2020), pp. 89-120
Closed Access | Times Cited: 3
Health Monitoring of Main Battle Tank Engine Using Mamdani-Type Fuzzy Model
Gaurav Saraswat, Seetaram Maurya, Nishchal K. Verma
Advances in intelligent systems and computing (2018), pp. 403-414
Closed Access | Times Cited: 1
Transfer Learning based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis.
Arun Kumar Sharma, Nishchal K. Verma
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Intelligent Condition Based Monitoring Techniques for Bearing Fault Diagnosis.
Vikas Singh, Nishchal K. Verma
arXiv (Cornell University) (2019)
Closed Access
Improved Fault Detection Model
Nishchal K. Verma, Al Salour
Studies in systems, decision and control (2020), pp. 267-281
Closed Access
Fault Recognition
Nishchal K. Verma, Al Salour
Studies in systems, decision and control (2020), pp. 201-224
Closed Access
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis
Arun Kumar Sharma, Nishchal K. Verma
arXiv (Cornell University) (2021)
Closed Access
A Metric and Visualization of Completeness in Multi-Dimensional Data Sets of Sensor and Actuator Data Applied to a Condition Monitoring Use Case
Iris R. Weiss, Birgit Vogel‐Heuser
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 5022-5022
Open Access
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