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:

Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks
Lukáš Klein, David Seidl, Jan Fulneček, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118910-118910
Open Access | Times Cited: 23

Showing 23 citing articles:

Deep learning and data augmentation for partial discharge detection in electrical machines
Andreas Rauscher, Johannes W. Kaiser, Manoj Devaraju, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108074-108074
Open Access | Times Cited: 7

Enriching the metadata of map images: a deep learning approach with geographic information systems-based data augmentation
Entaj Tarafder, Sabira Khatun, Muhammad Awais, et al.
Elsevier eBooks (2025), pp. 181-203
Closed Access

Partial Discharge Recognition of Transformers Based on Data Augmentation and CNN-BiLSTM-Attention Mechanism
Zhongjun Fu, Yuhui Wang, Zhou Lei, et al.
Electronics (2025) Vol. 14, Iss. 1, pp. 193-193
Open Access

Interpretable Fault Diagnosis for Overhead Lines with Covered Conductors: A Physics-Informed Deep Learning Approach
Gang Lu, Chi Wai Tsang, Ho Bin Yim, et al.
Protection and Control of Modern Power Systems (2025) Vol. 10, Iss. 2, pp. 25-39
Open Access

Partial Discharge Detection by Edge Computing
Lukáš Klein, Petr Žmij, Pavel Krömer
IEEE Access (2023) Vol. 11, pp. 44192-44204
Open Access | Times Cited: 9

A Data Set of Signals from an Antenna for Detection of Partial Discharges in Overhead Insulated Power Line
Lukáš Klein, Jan Fulneček, David Seidl, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 9

Partial Discharge Detection and Recognition in Insulated Overhead Conductor Based on Bi-LSTM with Attention Mechanism
Yanhui Xi, Feng Zhou, Weijie Zhang
Electronics (2023) Vol. 12, Iss. 11, pp. 2373-2373
Open Access | Times Cited: 5

Data Driven Surrogate Modeling of Phase Array Antennas Using Deep Learning for Millimetric Band Applications
Mehmet Akif Tulum, Ahmet Serdar Türk, Peyman Mahoutı
IEEE Access (2023) Vol. 11, pp. 114415-114423
Open Access | Times Cited: 4

Analyzing out-of-control signals of T2 control chart for compositional data using artificial neural networks
Muhammad Imran, Hong-Liang Dai, Fatima Zaidi, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122165-122165
Closed Access | Times Cited: 4

Partial discharge pattern recognition algorithm of overhead covered conductors based on feature optimization and bidirectional LSTM‐GRU
Chungfeng Zhang, Mingli Chen, Yongjun Zhang, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 4, pp. 680-693
Open Access | Times Cited: 1

Novel lossy compression method of noisy time series data with anomalies: Application to partial discharge monitoring in overhead power lines
Lukáš Klein, Jiří Dvorský, David Seidl, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108267-108267
Open Access | Times Cited: 1

Combining multi-level feature extraction algorithm with residual graph convolutional neural network for partial discharge detection
Chungfeng Zhang, Jan Fulneček, Lin Yang, et al.
Measurement (2024) Vol. 242, pp. 116151-116151
Closed Access | Times Cited: 1

Artificial Neural Networks: Modeling and Comparison to Detect High Impedance Faults
Andressa Tais Diefenthäler, Airam Teresa Zago Romcy Sausen, Maurício De Campos, et al.
IEEE Access (2023) Vol. 11, pp. 124499-124508
Open Access | Times Cited: 3

Quantitative Analysis of Surface Partial Discharges through Radio Frequency and Ultraviolet Signal Measurements
Michał Kozioł, Łukasz Nagi, T. Boczar, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3641-3641
Open Access | Times Cited: 2

Enhanced Fault Type Detection in Covered Conductors Using a Stacked Ensemble and Novel Algorithm Combination
Ondřej Kabot, Lukáš Klein, Lukáš Prokop, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8353-8353
Open Access | Times Cited: 2

Advanced Preliminary Screening for PD Detection for Overhead Distribution Lines with Covered Conductors
Lukáš Klein, David Seidl
IFAC-PapersOnLine (2024) Vol. 58, Iss. 9, pp. 114-119
Open Access

Symbolic Interpretation of Trained Neural Network Ensembles
Manomita Chakraborty
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2024) Vol. 32, Iss. 05, pp. 695-719
Closed Access

Analysis of Radio Frequency and Ultraviolet Signals Emitted by Surface Partial Discharges
Michał Kozioł, Michał Kunicki, Ireneusz Urbaniec, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 1

Partial Discharge Diagnostics of High Voltage Instrument Transformers – Case study
Michał Kunicki, Ondřej Kabot, Michał Kozioł
2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (2023), pp. 1-5
Closed Access | Times Cited: 1

Ensemble Learning Applications in Multiple Industries: A Review
Kuo-Yi Lin, Chancy Huang
Information Dynamics and Applications (2022) Vol. 1, Iss. 1, pp. 44-58
Open Access | Times Cited: 2

Analysis of selected dielectric parameters of insulating liquids
Aleksandra Płużek, Łukasz Nagi, Michał Kozioł, et al.
(2023), pp. 1-4
Closed Access

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