Özal Yıldırım

9.7k citations

77 papers · 6.7k indexed · 7 hit papers · h-index 29

Radiology, Nuclear Medicine and Imaging top 0.5%
Artificial Intelligence top 0.5%
Cardiology and Cardiovascular Medicine top 1%
Cognitive Neuroscience top 1%
Biomedical Engineering top 2%

Co-authors: U. Rajendra Acharya Ulaş Baran Baloğlu Muhammed Talo Ru‐San Tan Tülin Öztürk Yakup Demir Paweł Pławiak Galip Aydın
Topics: ECG Monitoring and Analysis (18 papers)EEG and Brain-Computer Interfaces (18 papers)Power Quality and Harmonics (8 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Cognitive Neuroscience
Journals: SHILAP Revista de lepidopterologíaScientific Reports IEEE Access
Partner nations: Türkiye Singapore Taiwan

In The Last Decade

Özal Yıldırım

73 papers receiving 6.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated detection of COVID-19 cases using deep neural networks with X-ray images

2020 1.7k citations Muhammed Talo, Ulaş Baran Baloğlu et al. Computers in Biology and Medicine profile →
Arrhythmia detection using deep convolutional neural network with long duration ECG signals

2018 604 citations Özal Yıldırım, Paweł Pławiak et al. Computers in Biology and Medicine profile →
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

2018 581 citations Özal Yıldırım Computers in Biology and Medicine profile →
Application of deep transfer learning for automated brain abnormality classification using MR images

2018 376 citations Muhammed Talo, Ulaş Baran Baloğlu et al. profile →
Classification of myocardial infarction with multi-lead ECG signals and deep CNN

2019 335 citations Ulaş Baran Baloğlu, Muhammed Talo et al. profile →
A new approach for arrhythmia classification using deep coded features and LSTM networks

2019 279 citations Özal Yıldırım, Ulaş Baran Baloğlu et al. Computer Methods and Programs in Biomedicine profile →
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review

2020 215 citations Özal Yıldırım, Muhammed Talo et al. Computers in Biology and Medicine profile →

Peers

Countries citing papers authored by Özal Yıldırım

Since Specialization

Citations

This map shows the geographic impact of Özal Yıldırım'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 Özal Yıldırım with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özal Yıldırım more than expected).

Fields of papers citing papers by Özal Yıldırım

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Özal Yıldırım. 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 Özal Yıldırım. The network helps show where Özal Yıldırım may publish in the future.

Co-authorship network of co-authors of Özal Yıldırım

This figure shows the co-authorship network connecting the top 25 collaborators of Özal Yıldırım. A scholar is included among the top collaborators of Özal Yıldırım based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Özal Yıldırım. Özal Yıldırım is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A Novel Scenario-Based Comparative Framework for Short- and Medium-Term Solar PV Power Forecasting Using Deep Learning Models 2025 ·Applied Sciences ·(unknown),(unknown),(unknown),Heybet Kılıç,Özal Yıldırım,(unknown),(unknown)	0
2	Automated fault classification of asynchronous motor using mobile phone accelerometer and Parallel Residual CNN-GRU 2025 ·Measurement ·(unknown),(unknown),Özal Yıldırım,Turan Gürgenç	2
3	Classifying Induction Motor Faults Using Spectrogram Images with Deep Transfer Learning 2024 ·(unknown),Özal Yıldırım,(unknown)	2
4	A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images 2024 ·Diagnostics ·(unknown),Özal Yıldırım,Ru‐San Tan,U. Rajendra Acharya	3
5	Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients 2024 ·Journal of Ultrasound in Medicine ·Pelin Seher Öztekin,(unknown),(unknown),Serap Erel,(unknown),Derya Avcı,(unknown),Özal Yıldırım,(unknown),U. Rajendra Acharya	5
6	The Effect of Linear Discriminant Analysis and Quantum Feature Maps on QSVM Performance for Obesity Diagnosis 2024 ·Balkan Journal of Electrical and Computer Engineering ·(unknown),Özal Yıldırım,Murat Karabatak	0
7	Motor Yataklarında Meydana Gelen Arızaları Tespit Etmek için Yeni Bir Tek Boyutlu Konvolüsyonel Sinir Ağı Modeli 2023 ·Fırat Üniversitesi Mühendislik Bilimleri Dergisi ·(unknown),Özal Yıldırım,(unknown)	2
8	Evaluation of GPT-3 AI Language Model in Research Paper Writing 2023 ·DergiPark (Istanbul University) ·(unknown),(unknown),(unknown),Özal Yıldırım,U. Rajendra Acharya	5
9	An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization 2023 ·Diagnostics ·(unknown),Özal Yıldırım	13
10	An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images 2023 ·Diagnostics ·(unknown),(unknown),Ferhat Sadak,Muhammed Yıldırım,(unknown),(unknown),(unknown),Tuba Talo Yıldırım,Özal Yıldırım,Oliver Faust,U. Rajendra Acharya	52
11	An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects 2022 ·International Journal of Environmental Research and Public Health ·Manish Sharma,(unknown),(unknown),Murat Karabatak,Özal Yıldırım,U. Rajendra Acharya	20
12	Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound Images 2022 ·Contrast Media & Molecular Imaging ·U. Raghavendra,(unknown),Anjan Gudigar,(unknown),Jyothi Samanth,(unknown),(unknown),Nahrizul Adib Kadri,Murat Karabatak,Özal Yıldırım,N. Arunkumar,Ali Abbasian Ardakani	3
13	Deep learning model for automated kidney stone detection using coronal CT images 2021 ·Computers in Biology and Medicine ·Kadir Yıldırım,(unknown),Muhammed Talo,Özal Yıldırım,Murat Karabatak,U. Rajendra Acharya	125
14	A PREDICTION MODEL FOR AUTOMOBILE SALES IN TURKEY USING DEEP NEURAL NETWORKS 2020 ·DergiPark (Istanbul University) ·Sema Kayapınar Kaya,Özal Yıldırım	5
15	Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records 2020 ·Computer Methods and Programs in Biomedicine ·Özal Yıldırım,Muhammed Talo,Edward J. Ciaccio,Ru‐San Tan,U. Rajendra Acharya	96
16	Application of deep learning techniques for heartbeats detection using ECG signals-analysis and reviewbreakdown → 2020 ·Computers in Biology and Medicine ·(unknown),Özal Yıldırım,Muhammed Talo,Ulaş Baran Baloğlu,Yakup Demir,U. Rajendra Acharya	215
17	A Convolutional Neural Network Model for Road Flow Direction Detection 2019 ·(unknown),Özal Yıldırım,Burhan Ergen	1
18	Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals 2019 ·Journal of Medical Systems ·Betül Ay,Özal Yıldırım,Muhammed Talo,Ulaş Baran Baloğlu,Galip Aydın,Subha D. Puthankattil,U. Rajendra Acharya	195
19	Arrhythmia detection using deep convolutional neural network with long duration ECG signalsbreakdown → 2018 ·Computers in Biology and Medicine ·Özal Yıldırım,Paweł Pławiak,Ru‐San Tan,U. Rajendra Acharya	604
20	Recognition of Real-World Texture Images Under Challenging Conditions With Deep Learning 2018 ·Özal Yıldırım,Ayşegül Uçar,Ulaş Baran Baloğlu	8

About Özal Yıldırım

Özal Yıldırım is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 6.7k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (18 papers), EEG and Brain-Computer Interfaces (18 papers) and Power Quality and Harmonics (8 papers). The work is most often cited by research in Health Informatics (359 citations), Radiology, Nuclear Medicine and Imaging (2.4k citations) and Cognitive Neuroscience (1.9k citations). Özal Yıldırım has collaborated with scholars based in Türkiye, Singapore and Taiwan. Frequent co-authors include U. Rajendra Acharya, Ulaş Baran Baloğlu, Muhammed Talo, Ru‐San Tan, Tülin Öztürk, Yakup Demir, Paweł Pławiak, Galip Aydın, Edward J. Ciaccio and Murat Karabatak. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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.

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