Özal Yıldırım

9.7k total citations · 7 hit papers
77 papers, 6.7k citations indexed

About

Özal Yıldırım is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Özal Yıldırım has authored 77 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 18 papers in Cognitive Neuroscience and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Özal Yıldırım's work include ECG Monitoring and Analysis (18 papers), EEG and Brain-Computer Interfaces (18 papers) and Power Quality and Harmonics (8 papers). Özal Yıldırım is often cited by papers focused on ECG Monitoring and Analysis (18 papers), EEG and Brain-Computer Interfaces (18 papers) and Power Quality and Harmonics (8 papers). Özal Yıldırım collaborates with scholars based in Türkiye, Singapore and Taiwan. Özal Yıldırım's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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. 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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Özal Yıldırım Türkiye	29	2.4k	2.1k	2.1k	1.9k	1.0k	77	6.7k
Filippo Molinari Italy	47	2.7k 1.1×	1.6k 0.7×	2.1k 1.0×	1.1k 0.6×	1.3k 1.2×	311	8.5k
Jen Hong Tan Singapore	47	2.9k 1.2×	1.3k 0.6×	4.3k 2.1×	4.4k 2.3×	1.8k 1.8×	102	10.4k
Yuki Hagiwara Singapore	33	1.2k 0.5×	1.0k 0.5×	3.7k 1.8×	4.1k 2.2×	1.5k 1.4×	68	8.1k
Abdulkadir Şengür Türkiye	52	1.6k 0.7×	2.6k 1.3×	607 0.3×	1.0k 0.5×	740 0.7×	229	8.7k
Ulaş Baran Baloğlu Türkiye	13	2.0k 0.8×	1.5k 0.7×	874 0.4×	974 0.5×	432 0.4×	25	3.9k
Muhammad E. H. Chowdhury Qatar	39	3.3k 1.4×	2.3k 1.1×	582 0.3×	448 0.2×	1.4k 1.3×	285	7.6k
Oliver Faust Singapore	41	1.1k 0.5×	842 0.4×	2.1k 1.0×	2.4k 1.3×	1.1k 1.1×	123	5.8k
Ru‐San Tan Singapore	56	2.4k 1.0×	1.3k 0.6×	8.3k 4.0×	3.6k 1.9×	2.3k 2.2×	400	13.5k
Roohallah Alizadehsani Australia	42	1.1k 0.5×	1.9k 0.9×	850 0.4×	1.1k 0.6×	418 0.4×	169	5.5k
Kemal Polat Türkiye	46	805 0.3×	2.9k 1.4×	886 0.4×	1.3k 0.7×	1.0k 1.0×	239	7.9k

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

Kılıç, Heybet, et al.. (2025). A Novel Scenario-Based Comparative Framework for Short- and Medium-Term Solar PV Power Forecasting Using Deep Learning Models. Applied Sciences. 15(24). 12965–12965.

Yıldırım, Özal, et al.. (2025). Automated fault classification of asynchronous motor using mobile phone accelerometer and Parallel Residual CNN-GRU. Measurement. 253. 117539–117539. 2 indexed citations

Öztekin, Pelin Seher, et al.. (2024). Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients. Journal of Ultrasound in Medicine. 43(11). 2051–2068. 5 indexed citations

Yıldırım, Özal, et al.. (2024). A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images. Diagnostics. 14(22). 2497–2497. 3 indexed citations

Yıldırım, Özal, et al.. (2024). Classifying Induction Motor Faults Using Spectrogram Images with Deep Transfer Learning. 2 indexed citations

Yıldırım, Özal, et al.. (2024). A Novel AI-based Hybrid Ensemble Segmentation CAD System for Lumber Spine Stenosis pathological Regions Using MRI Axial Images. 56. 1–5. 1 indexed citations

Yıldırım, Özal, et al.. (2023). Motor Yataklarında Meydana Gelen Arızaları Tespit Etmek için Yeni Bir Tek Boyutlu Konvolüsyonel Sinir Ağı Modeli. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 35(2). 669–678. 2 indexed citations

Yıldırım, Özal, et al.. (2023). Evaluation of GPT-3 AI Language Model in Research Paper Writing. DergiPark (Istanbul University). 18(2). 311–318. 5 indexed citations

Yıldırım, Özal, et al.. (2023). An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization. Diagnostics. 13(14). 2459–2459. 13 indexed citations

10.

Yıldırım, Özal, et al.. (2023). Breast Cancer Segmentation from Ultrasound Images Using ResNext-based U-Net Model. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 12(3). 871–886.

11.

Sharma, Manish, et al.. (2022). An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects. International Journal of Environmental Research and Public Health. 19(12). 7176–7176. 20 indexed citations

12.

Avcı, Derya, Eser Sert, Esin Doğantekin, et al.. (2022). A new super resolution Faster R-CNN model based detection and classification of urine sediments. Journal of Applied Biomedicine. 43(1). 58–68. 19 indexed citations

13.

Sadak, Ferhat, Özal Yıldırım, Muhammed Talo, et al.. (2021). Review of Deep Learning-Based Atrial Fibrillation Detection Studies. International Journal of Environmental Research and Public Health. 18(21). 11302–11302. 48 indexed citations

14.

Kaya, Sema Kayapınar & Özal Yıldırım. (2020). A PREDICTION MODEL FOR AUTOMOBILE SALES IN TURKEY USING DEEP NEURAL NETWORKS. DergiPark (Istanbul University). 5 indexed citations

15.

Yıldırım, Özal, et al.. (2020). 1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals. Physica Medica. 70. 39–48. 65 indexed citations

16.

Yıldırım, Özal, et al.. (2019). A Convolutional Neural Network Model for Road Flow Direction Detection. 94–99. 1 indexed citations

17.

Yıldırım, Özal & Ulaş Baran Baloğlu. (2018). Heartbeat type classification with optimized feature vectors. An International Journal of Optimization and Control Theories & Applications (IJOCTA). 8(2). 170–175. 7 indexed citations

18.

Yıldırım, Özal, Ayşegül Uçar, & Ulaş Baran Baloğlu. (2018). Recognition of Real-World Texture Images Under Challenging Conditions With Deep Learning. 122–126. 8 indexed citations

19.

Yıldırım, Özal, Paweł Pławiak, Ru‐San Tan, & U. Rajendra Acharya. (2018). Arrhythmia detection using deep convolutional neural network with long duration ECG signals. Computers in Biology and Medicine. 102. 411–420. 604 indexed citations breakdown →

20.

Rzecki, Krzysztof, Michał Niedźwiecki, Tomasz Łojewski, et al.. (2018). Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS. Sensors. 18(11). 3670–3670. 34 indexed citations

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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