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Abdulkadir Sengur

Abdulkadir Sengur

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Computer Science
Turkey
2026

D-Index & Metrics

Computer Science

D-Index
58
Citations
11575
World Ranking
3677
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science in Turkey Leader Award
  • 2025 - Research.com Computer Science in Turkey Leader Award
  • 2022 - Research.com Computer Science in Turkey Leader Award

Overview

Abdulkadir Sengur is affiliated with Fırat University in Turkey. Their research spans multiple areas within computer science and medicine, with a particular focus on artificial intelligence applications in healthcare and signal processing.

Their recent publications include works across several high-impact journals and conferences. Notable papers include:

  • Deep learning approaches for COVID-19 detection based on chest X-ray images, 2020, Expert Systems with Applications
  • Machine learning methods for cyber security intrusion detection: Datasets and comparative study, 2021, Computer Networks
  • A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • A New Deep CNN Model for Environmental Sound Classification, 2020, IEEE Access
  • Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure, 2020, IEEE Access

They frequently collaborate with several scientists, including:

  • U. Rajendra Acharya
  • Muammer Türkoğlu
  • Salih Taha Alperen Özçelik
  • Fatih Demir
  • Nebras Sobahi

Abdulkadir Sengur publishes commonly in these venues:

  • IEEE Access
  • Diagnostics
  • Health Information Science and Systems
  • Expert Systems with Applications
  • Applied Acoustics

The primary fields they contribute to are computer science and medicine. Within these fields, their work is concentrated in the subfields of:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging

The main topics addressed in their research include:

  • EEG and Brain-Computer Interfaces
  • AI in cancer detection
  • ECG Monitoring and Analysis
  • Dental Radiography and Imaging
  • COVID-19 diagnosis using AI
  • Network Security and Intrusion Detection
  • Emotion and Mood Recognition

Sengur's work covers the application of machine learning, deep learning, and signal processing techniques to medical imaging, neurological signal analysis, and cyber security. The focus on EEG and brain-computer interfaces, alongside AI-driven diagnostic methods for diseases like COVID-19 and cancer, represents a significant portion of their scholarly output.

Best Publications

  • Effective diagnosis of heart disease through neural networks ensembles

    Resul Das;Ibrahim Turkoglu;Abdulkadir Sengur

  • Deep Learning Approaches for COVID-19 Detection Based on Chest X-ray Images.

    Aras Masood Ismael;Abdulkadir Sengür

  • Artificial neural network and wavelet neural network approaches for modelling of a solar air heater

    Hikmet Esen;Filiz Ozgen;Mehmet Esen;Abdulkadir Sengur

  • Transfer learning based histopathologic image classification for breast cancer detection

    Erkan Deniz;Abdulkadir Şengür;Zehra Kadiroğlu;Yanhui Guo

  • Machine learning methods for cyber security intrusion detection: Datasets and comparative study

    Ilhan Firat Kilincer;Fatih Ertam;Abdulkadir Sengur

  • Performance prediction of a ground-coupled heat pump system using artificial neural networks

    Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen

  • Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system

    Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen

  • Modelling of a new solar air heater through least-squares support vector machines

    Hikmet Esen;Filiz Ozgen;Mehmet Esen;Abdulkadir Sengur

  • Forecasting of a ground-coupled heat pump performance using neural networks with statistical data weighting pre-processing

    Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen

  • Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification

    Shalu Chaudhary;Sachin Taran;Varun Bajaj;Abdulkadir Sengur

  • Modeling a ground-coupled heat pump system by a support vector machine

    Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen

  • Convolutional neural networks based efficient approach for classification of lung diseases

    Fatih Demir;Abdulkadir Sengur;Varun Bajaj

  • Predicting performance of a ground-source heat pump system using fuzzy weighted pre-processing-based ANFIS

    Hikmet Esen;Mustafa Inalli;Abdulkadir Sengur;Mehmet Esen

  • NCM: Neutrosophic c-means clustering algorithm

    Yanhui Guo;Abdulkadir Sengur

  • Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests

    Muammer Turkoglu;Davut Hanbay;Abdulkadir Sengur

  • Color texture image segmentation based on neutrosophic set and wavelet transformation

    Abdulkadir Sengur;Yanhui Guo

  • An Effective Hybrid Model for EEG-Based Drowsiness Detection

    Umit Budak;Varun Bajaj;Yaman Akbulut;Orhan Atila

  • Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

    Ümit Budak;Zafer Cömert;Zryan Najat Rashid;Abdulkadir Şengür

  • Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification

    Abdulkadir Sengur

  • Diagnosis of valvular heart disease through neural networks ensembles

    Resul Das;Ibrahim Turkoglu;Abdulkadir Sengur

Frequent Co-Authors

Yanhui Guo
Yanhui Guo Fudan University
Varun Bajaj
Varun Bajaj Maulana Azad National Institute of Technology
Florentin Smarandache
Florentin Smarandache University of New Mexico
Siuly Siuly
Siuly Siuly Victoria University
Kemal Polat
Kemal Polat Abant Izzet Baysal University
Yanchun Zhang
Yanchun Zhang Victoria University
Nicholas Cummins
Nicholas Cummins King's College London
Jun Ye
Jun Ye Ningbo University
Björn Schuller
Björn Schuller Imperial College London
Fauzia Ahmad
Fauzia Ahmad Temple University

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