Open Access Helper

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:

Predicting the actual location of faults in underground optical networks using linear regression
Owusu Nyarko‐Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori
Engineering Reports (2020) Vol. 3, Iss. 3
Open Access | Times Cited: 20

Showing 20 citing articles:

Machine-learning-based anomaly detection in optical fiber monitoring
Khouloud Abdelli, Joo Yeon Cho, Florian Azendorf, et al.
Journal of Optical Communications and Networking (2022) Vol. 14, Iss. 5, pp. 365-365
Open Access | Times Cited: 55
Reflective fiber fault detection and characterization using long short-term memory
Khouloud Abdelli, Helmut Grießer, Peter Ehrle, et al.
Journal of Optical Communications and Networking (2021) Vol. 13, Iss. 10, pp. E32-E32
Open Access | Times Cited: 29
Enhancing high pressure pulsation test bench performance: a machine learning approach to failure condition tracking
Aslı Aksoy, Ömer Haki
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimizing Optical Fiber Faults Detection: A Comparative Analysis of Advanced Machine Learning Approaches
Kamlesh Kumar Soothar, Yuanxiang Chen, Arif Hussain Magsi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 2697-2721
Open Access | Times Cited: 3
Predictive maintenance for critical infrastructure
Ariel Gorenstein, Meir Kalech
Expert Systems with Applications (2022) Vol. 210, pp. 118413-118413
Closed Access | Times Cited: 10
Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features
Bridgitte Owusu-Boadu, Isaac Kofi Nti, Owusu Nyarko‐Boateng, et al.
Applied Computer Systems (2021) Vol. 26, Iss. 2, pp. 122-131
Open Access | Times Cited: 12
Empowering Metaverse Through Machine Learning and Blockchain Technology: A Study on Machine Learning, Blockchain, and Their Combination to Enhance Metaverse
Nad Ghantous, Charbel Fakhri
(2022)
Open Access | Times Cited: 7
Risky event classification leveraging transfer learning for very limited datasets in optical networks
Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp, et al.
Journal of Optical Communications and Networking (2024) Vol. 16, Iss. 7, pp. C51-C51
Closed Access | Times Cited: 1
Machine Learning Applications for Fault Tracing and Localization in Optical Fiber Communication Networks: A Review
Shiny Pearl D. Abdula, Mary Joy D. Llagas, Alessandra May D. Fernandez, et al.
(2024)
Open Access | Times Cited: 1
Long-Term Software Fault Prediction Model with Linear Regression and Data Transformation
Momotaz Begum, Jahid Hasan Rony, Md. Rashedul Islam, et al.
Journal of Information Systems and Telecommunication (JIST) (2023) Vol. 11, Iss. 43, pp. 222-231
Open Access | Times Cited: 3
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks
Khouloud Abdelli, Florian Azendorf, Helmut Grieser, et al.
(2021), pp. 1-4
Open Access | Times Cited: 7
Tracing the exact location of failures in underground optical networks using LSTM deep learning model
Owusu Nyarko‐Boateng
Indian Journal of Science and Technology (2021) Vol. 14, Iss. 4, pp. 297-309
Open Access | Times Cited: 5
A Novel Event Detection Method for OTDR Trace with High Sensitivity Based on Machine Learning
Zhimin Yang, Danke Hong, Xiaofang Feng, et al.
(2021) Vol. 2, pp. 265-269
Closed Access | Times Cited: 4
CurFi: An automated tool to find the best regression analysis model using curve fitting
Ayon Roy, Tausif Al Zubayer, Nafisa Tabassum, et al.
Engineering Reports (2022) Vol. 4, Iss. 12
Closed Access | Times Cited: 3
Adopting Intelligent Modelling to Trace Fault in Underground Optical Network: A Comprehensive Survey
Owusu Nyarko‐Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori
Journal of Computer Science (2020) Vol. 16, Iss. 10, pp. 1355-1366
Open Access | Times Cited: 3
Research on Intelligent Substation Secondary Circuit Fault Location Based on AGA-PSO Algorithm
Wu Jiangxiong, Liu Qiankuan, Jiang Liandian, et al.
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) (2024) Vol. 48, pp. 1075-1081
Closed Access
Enhancing Tactile Internet Reliability: AI-Driven Resilience in NG-EPON Networks
Andrew Tanny Liem, I‐Shyan Hwang, Razat Kharga, et al.
Photonics (2024) Vol. 11, Iss. 10, pp. 903-903
Open Access
Enhancing fault detection and classification in optical fiber networks with deep learning algorithms
Shubham Kaushik, Kanwal Garg, Jyoti Verma, et al.
AIP conference proceedings (2024) Vol. 3232, pp. 020001-020001
Closed Access
Using Machine Learning Technique, Tracing the Actual Location of Faults in Underground Optical Networks
Athira Asok, S.S Pournami
(2023), pp. 45-49
Closed Access
Improvement of Injection Accuracy in the Media Changing Process for Cell Processing
Ryosuke NONOYAMA, Koichiro Yori, Keiichi Sugiura, et al.
Research Square (Research Square) (2021)
Open Access
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