World's Best Scientists 2026 revealed!
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

Abdulkadir Sengur publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Abdulkadir Sengur sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Abdulkadir Sengur D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Abdulkadir Sengur sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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