H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 6,957 185 World Ranking 6904 National Ranking 15

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Artificial intelligence, Feature extraction, Pattern recognition, Convolutional neural network and Artificial neural network are his primary areas of study. His studies in Artificial intelligence integrate themes in fields like Internal medicine and Computer vision. His Feature extraction research incorporates elements of Classifier, Random forest and Preprocessor.

His Pattern recognition research focuses on Sensitivity and how it relates to Phonocardiogram, Feedforward neural network, Linear discriminant analysis and Sequence. His work carried out in the field of Convolutional neural network brings together such families of science as Training set, Anomaly detection, Structural health monitoring, Fault detection and isolation and Benchmark database. Serkan Kiranyaz interconnects Particle swarm optimization and Swarm behaviour in the investigation of issues within Artificial neural network.

His most cited work include:

  • Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks (577 citations)
  • Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks (423 citations)
  • Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks (305 citations)

What are the main themes of his work throughout his whole career to date?

Serkan Kiranyaz focuses on Artificial intelligence, Pattern recognition, Feature extraction, Convolutional neural network and Artificial neural network. The various areas that Serkan Kiranyaz examines in his Artificial intelligence study include Machine learning and Computer vision. His Pattern recognition research integrates issues from Particle swarm optimization and Deep learning.

His study in Feature extraction is interdisciplinary in nature, drawing from both Feature detection, Image retrieval, Visual Word, Image texture and Principal component analysis. He has researched Convolutional neural network in several fields, including Training set, Anomaly detection, Structural health monitoring, Fault detection and isolation and Benchmark. His study in the field of Biological neuron model is also linked to topics like Operator.

He most often published in these fields:

  • Artificial intelligence (71.24%)
  • Pattern recognition (44.21%)
  • Feature extraction (22.32%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (71.24%)
  • Convolutional neural network (21.89%)
  • Pattern recognition (44.21%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Convolutional neural network, Pattern recognition, Artificial neural network and Benchmark. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. The concepts of his Convolutional neural network study are interwoven with issues in Identification, Anomaly detection, Training set and Fault detection and isolation.

In general Pattern recognition study, his work on Classifier often relates to the realm of Sliding window protocol, thereby connecting several areas of interest. His Artificial neural network research includes elements of Image restoration and Leverage. The study incorporates disciplines such as Real-time computing, Data pre-processing, Feature selection and Structural health monitoring in addition to Feature extraction.

Between 2018 and 2021, his most popular works were:

  • A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier (95 citations)
  • 1D Convolutional Neural Networks and Applications: A Survey (74 citations)
  • 1-D Convolutional Neural Networks for Signal Processing Applications (53 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Serkan Kiranyaz mostly deals with Artificial intelligence, Convolutional neural network, Pattern recognition, Machine learning and Perceptron. His biological study focuses on Deep learning. Serkan Kiranyaz combines subjects such as Identification, Artificial neural network, Anomaly detection, Fault detection and isolation and Feature extraction with his study of Convolutional neural network.

His research in Artificial neural network tackles topics such as Training set which are related to areas like Network complexity. His Feature extraction study incorporates themes from Cognitive neuroscience of visual object recognition, Biometrics, Facial recognition system, Face and Structural health monitoring. His work on Classifier as part of general Pattern recognition research is frequently linked to Sliding window protocol, bridging the gap between disciplines.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

Serkan Kiranyaz;Turker Ince;Moncef Gabbouj.
IEEE Transactions on Biomedical Engineering (2016)

824 Citations

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

Turker Ince;Serkan Kiranyaz;Levent Eren;Murat Askar.
IEEE Transactions on Industrial Electronics (2016)

576 Citations

A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals

T. Ince;S. Kiranyaz;M. Gabbouj.
IEEE Transactions on Biomedical Engineering (2009)

439 Citations

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

Osama Abdeljaber;Onur Avci;Serkan Kiranyaz;Moncef Gabbouj.
Journal of Sound and Vibration (2017)

434 Citations

Evolutionary artificial neural networks by multi-dimensional particle swarm optimization

Serkan Kiranyaz;Turker Ince;Alper Yildirim;Moncef Gabbouj.
Neural Networks (2009)

277 Citations

1D convolutional neural networks and applications: A survey

Serkan Kiranyaz;Onur Avci;Osama Abdeljaber;Turker Ince.
Mechanical Systems and Signal Processing (2021)

194 Citations

A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

Levent Eren;Turker Ince;Serkan Kiranyaz.
Journal of Signal Processing Systems (2019)

165 Citations

Integrating Color Features in Polarimetric SAR Image Classification

Stefan Uhlmann;Serkan Kiranyaz.
IEEE Transactions on Geoscience and Remote Sensing (2014)

153 Citations

Fractional Particle Swarm Optimization in Multidimensional Search Space

S. Kiranyaz;T. Ince;A. Yildirim;M. Gabbouj.
systems man and cybernetics (2010)

150 Citations

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Serkan Kiranyaz;Turker Ince;Moncef Gabbouj.
(2013)

140 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Serkan Kiranyaz

U. Rajendra Acharya

U. Rajendra Acharya

Ngee Ann Polytechnic

Publications: 43

Moncef Gabbouj

Moncef Gabbouj

Tampere University

Publications: 43

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 34

Jun Li

Jun Li

Chinese Academy of Sciences

Publications: 15

Shuyuan Yang

Shuyuan Yang

Xidian University

Publications: 14

Hong Qiao

Hong Qiao

Chinese Academy of Sciences

Publications: 11

Hong Hao

Hong Hao

Curtin University

Publications: 11

Min-Yuan Cheng

Min-Yuan Cheng

National Taiwan University of Science and Technology

Publications: 11

Stephen O. Lemay

Stephen O. Lemay

Apple (United States)

Publications: 10

Gari D. Clifford

Gari D. Clifford

Emory University

Publications: 10

Sébastien Marcel

Sébastien Marcel

Idiap Research Institute

Publications: 9

Imran Chaudhri

Imran Chaudhri

Apple (United States)

Publications: 9

Robert X. Gao

Robert X. Gao

Case Western Reserve University

Publications: 9

Abdenour Hadid

Abdenour Hadid

University of Oulu

Publications: 8

Freddy Allen Anzures

Freddy Allen Anzures

Caffeine

Publications: 7

Ruqiang Yan

Ruqiang Yan

Xi'an Jiaotong University

Publications: 7

Something went wrong. Please try again later.