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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:

Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy
Dileep Kumar, Sanaullah Mehran, Kapal Dev, et al.
Journal of Parallel and Distributed Computing (2021) Vol. 160, pp. 90-99
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Fusion of Federated Learning and Industrial Internet of Things: A survey
M. Parimala, Swarna Priya Ramu, Quoc‐Viet Pham, et al.
Computer Networks (2022) Vol. 212, pp. 109048-109048
Open Access | Times Cited: 184
TinyML-enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis
Supriya Asutkar, Chaitravi Chalke, Kajal Shivgan, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119016-119016
Closed Access | Times Cited: 41
Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm
Thao Nguyen Da, Phuong Nguyen Thanh, Ming-Yuan Cho
Internet of Things (2024) Vol. 26, pp. 101164-101164
Closed Access | Times Cited: 11
Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
Phuong Nguyen Thanh, Ming-Yuan Cho
Advanced Engineering Informatics (2024) Vol. 62, pp. 102644-102644
Closed Access | Times Cited: 8
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay
Sulaiman Aburakhia, Ryan Myers, Abdallah Shami
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Open Access | Times Cited: 33
Artificial intelligence of things based approach for anomaly detection in rotating machines
Tauheed Mian, Anurag Choudhary, Shahab Fatima, et al.
Computers & Electrical Engineering (2023) Vol. 109, pp. 108760-108760
Closed Access | Times Cited: 20
Distributed intelligence for IoT-based smart cities: a survey
Mohamed Hashem, Aisha Siddiqa, Fadele Ayotunde Alaba, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16621-16656
Closed Access | Times Cited: 6
Enhanced Fault Diagnosis in IoT: Uniting Data Fusion with Deep Multi-Scale Fusion Neural Network
Dinesh Kumar Reddy Basani, Basava Ramanjaneyulu Gudivaka, Rajya Lakshmi Gudivaka, et al.
Internet of Things (2024), pp. 101361-101361
Closed Access | Times Cited: 6
Real-time adaptable fault analysis of rotating machines based on Marine predator algorithm optimised LightGBM approach
Duygu Bağcı Daş
Nondestructive Testing And Evaluation (2024), pp. 1-36
Closed Access | Times Cited: 5
Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors
Majid Hussain, Tayab Din Memon, Imtiaz Hussain, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 133, Iss. 2, pp. 435-470
Open Access | Times Cited: 17
Triaxial bearing vibration dataset of induction motor under varying load conditions
Dileep Kumar, Sanaullah Mehran, Muhammad Zakir Shaikh, et al.
Data in Brief (2022) Vol. 42, pp. 108315-108315
Open Access | Times Cited: 14
Similarity index of the STFT-based health diagnosis of variable speed rotating machines
Muhammad Ahsan, Mostafa M. Salah
Intelligent Systems with Applications (2023) Vol. 20, pp. 200270-200270
Open Access | Times Cited: 7
Mechanical and electrical faults detection in induction motor across multiple sensors with CNN-LSTM deep learning model
Merve ERTARĞIN, Özal Yıldırım, Ahmet Orhan
Electrical Engineering (2024)
Closed Access | Times Cited: 2
Special issue on Distributed Intelligence at the Edge for the Future Internet of Things
Andrzej Gościński, Flávia C. Delicato, Giancarlo Fortino, et al.
Journal of Parallel and Distributed Computing (2022) Vol. 171, pp. 157-162
Closed Access | Times Cited: 11
On-Device Training of Deep Learning Models on Edge Microcontrollers
Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, et al.
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) (2022), pp. 62-69
Closed Access | Times Cited: 11
Industrial Internet of Things embedded devices fault detection and classification. A case study
Alberto Garcés-Jiménez, André Rodrigues, José Manuel Gómez Pulido, et al.
Internet of Things (2023) Vol. 25, pp. 101042-101042
Closed Access | Times Cited: 6
Multi-Source Information Fusion Fault Diagnosis for Gearboxes Based on SDP and VGG
Yuan Fu, Xiang Chen, Yu Liu, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6323-6323
Open Access | Times Cited: 10
Fault identification model using IIoT for industrial application
T. Ch. Anil Kumar, Neeta Bhusal Sharma, Amit Kumar Mishra, et al.
Measurement Sensors (2022) Vol. 24, pp. 100526-100526
Closed Access | Times Cited: 9
Fault Diagnosis of Tenessee Eastman Process with Detection Quality Using IMVOA with Hybrid DL Technique in IIOT
Cuddapah Anitha, T. Rajesh Kumar, R. Balamanigandan, et al.
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 3
A New One-Dimensional Convolutional Neural Network Model for Detecting Motor Bearing Failures
Merve ERTARĞIN, Özal Yıldırım, Ahmet Orhan
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2023) Vol. 35, Iss. 2, pp. 669-678
Open Access | Times Cited: 2
Deep optimal feature extraction and selection-based motor fault diagnosis using vibration
Rajvardhan Jigyasu, Vivek Shrivastava, Sachin Singh
Electrical Engineering (2024) Vol. 106, Iss. 5, pp. 6339-6358
Closed Access
Fault Classification Using Hybrid FCN-BiLSTM Model in Grid Integrated with Distributed Generators
Pavan Kumar Bais, Narendra D. Londhe, Kishore Chintapalli, et al.
(2024), pp. 1-6
Closed Access
Rotodynamics Multi-Fault Diagnosis through Time Domain Parameter Analysis with MLP: A Comprehensive Study
Amanda Jorge, Eduardo Borges Gouveia, Márcio José da Cunha, et al.
(2024), pp. 1-6
Closed Access
FaultBit: Generic and Efficient Wireless Fault Detection Using the Internet of Things
Koustabh Dolui, Ashok Samraj Thangarajan, Sergii Morshchavka, et al.
(2024), pp. 97-118
Closed Access
Kırık Rotor Çubuğu Arızalarının Belirlenmesinde Derin Öğrenme Yaklaşımları ve Motor Akım İmza Analizi
Özgür Aydın, Erhan Akın
Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi (2024)
Open Access
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