Adrian Stetco
Impact in
-
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
-
- Power System Reliability and Maintenance
Papers in
-
- Machine Fault Diagnosis Techniques 3
- Magnetic Bearings and Levitation Dynamics 1
-
- Energy Load and Power Forecasting 3
- Wind Turbine Control Systems 1
- Co-authors
- John Keane (5 shared papers)Goran Nenadić (4 shared papers)Fateme Dinmohammadi (1 shared paper)Xingyu Zhao (1 shared paper)David Flynn (1 shared paper)Mike Barnes (2 shared papers)Valentin Robu (1 shared paper)Xiao‐Jun Zeng (3 shared papers)
- Journals
- Expert Systems with Applications (2 papers)Renewable Energy (1 paper)Energies (1 paper)Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Adrian Stetco
7 papers receiving 730 citations
Adrian Stetco's Hit Papers
Peers
Comparison fields: 5 of 87
- Control and Systems Engineering 411
- Safety, Risk, Reliability and Quality 92
- Medical Laboratory Technology 7
- Civil and Structural Engineering 105
- Mechanical Engineering 163
Countries citing papers authored by Adrian Stetco
This map shows the geographic impact of Adrian Stetco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adrian Stetco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Stetco more than expected).
Fields of papers citing papers by Adrian Stetco
This network shows the impact of papers produced by Adrian Stetco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adrian Stetco. The network helps show where Adrian Stetco may publish in the future.
Co-authors
The 13 scholars most cited alongside Adrian Stetco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning methods for wind turbine condition monitoring: A review Hit paper breakdown → | 2018 | 625 |
| 2 | 2015 | 90 | |
| 3 | 2013 | 12 | |
| 4 | Fuzzy C-means++: Fuzzy C-means with effective seeding initialization 42(21):7541-7548, 2015. | 2015 | 9 |
| 5 | 2019 | 7 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 1 |
About Adrian Stetco
Adrian Stetco is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Civil and Structural Engineering, having authored 7 papers that have together received 746 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (3 papers), Energy Load and Power Forecasting (3 papers), Machine Fault Diagnosis Techniques (3 papers), Anomaly Detection Techniques and Applications (1 paper), Wind Turbine Control Systems (1 paper), Fuzzy Logic and Control Systems (1 paper), Magnetic Bearings and Levitation Dynamics (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Control and Systems Engineering (411 citations), Safety, Risk, Reliability and Quality (92 citations), Medical Laboratory Technology (7 citations), Civil and Structural Engineering (105 citations) and Mechanical Engineering (163 citations). Adrian Stetco has collaborated with scholars based in United Kingdom. Frequent co-authors include John Keane, Goran Nenadić, Fateme Dinmohammadi, Xingyu Zhao, David Flynn, Mike Barnes, Valentin Robu, Xiao‐Jun Zeng, Anees Mohammed and Siniša Djurović. Their work appears in journals such as Expert Systems with Applications, Renewable Energy, Energies and Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.