Kemal Polat

11.7k total citations · 1 hit paper
239 papers, 7.9k citations indexed

About

Kemal Polat is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kemal Polat has authored 239 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 56 papers in Biomedical Engineering and 50 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kemal Polat's work include EEG and Brain-Computer Interfaces (35 papers), ECG Monitoring and Analysis (26 papers) and Artificial Intelligence in Healthcare (24 papers). Kemal Polat is often cited by papers focused on EEG and Brain-Computer Interfaces (35 papers), ECG Monitoring and Analysis (26 papers) and Artificial Intelligence in Healthcare (24 papers). Kemal Polat collaborates with scholars based in Türkiye, Saudi Arabia and China. Kemal Polat's co-authors include Salih Güneş, Majid Nour, Adi Alhudhaif, Fayadh Alenezi, M. Hariharan, Seral Şahan, Zafer Cömert, Şebnem Yosunkaya, Ahmet Arslan and Ritu Sindhu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Kemal Polat

226 papers receiving 7.5k citations

Hit Papers

Classification of epileptiform EEG using a hybrid system ... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kemal Polat Türkiye 46 2.9k 1.3k 1.3k 1.1k 1.1k 239 7.9k
J. M. Górriz Spain 53 2.6k 0.9× 2.4k 1.8× 1.7k 1.3× 731 0.7× 592 0.5× 297 9.0k
Abbas Khosravi Australia 64 5.3k 1.8× 1.7k 1.3× 1.2k 0.9× 498 0.4× 591 0.5× 351 14.8k
Abdulkadir Şengür Türkiye 52 2.6k 0.9× 1.6k 1.2× 1.0k 0.8× 1.0k 0.9× 603 0.6× 229 8.7k
Victor Hugo C. de Albuquerque Brazil 70 4.2k 1.4× 4.0k 3.0× 837 0.6× 957 0.9× 375 0.3× 372 15.6k
Heung‐Il Suk South Korea 35 2.7k 0.9× 2.0k 1.5× 2.0k 1.5× 360 0.3× 426 0.4× 136 8.4k
Nicos Maglaveras Greece 30 875 0.3× 789 0.6× 594 0.5× 405 0.4× 861 0.8× 308 5.3k
Yan Li China 47 3.3k 1.1× 1.5k 1.1× 2.4k 1.8× 1.4k 1.2× 131 0.1× 503 10.8k
Roohallah Alizadehsani Australia 42 1.9k 0.6× 576 0.4× 1.1k 0.8× 291 0.3× 1.2k 1.1× 169 5.5k
Salih Güneş Türkiye 28 1.5k 0.5× 472 0.4× 895 0.7× 586 0.5× 914 0.8× 65 3.5k
Mazin Abed Mohammed Iraq 49 2.9k 1.0× 1.6k 1.2× 280 0.2× 734 0.7× 497 0.5× 258 8.3k

Countries citing papers authored by Kemal Polat

Since Specialization
Citations

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

Fields of papers citing papers by Kemal Polat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kemal Polat

This figure shows the co-authorship network connecting the top 25 collaborators of Kemal Polat. A scholar is included among the top collaborators of Kemal Polat 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 Kemal Polat. Kemal Polat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharma, Arpit Kumar, et al.. (2025). Diagnosis of cervical cancer using CNN deep learning model with transfer learning approaches. Biomedical Signal Processing and Control. 105. 107639–107639. 1 indexed citations
2.
Lian, Cheng, et al.. (2024). A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification. Applied Soft Computing. 167. 112372–112372.
3.
Sehgal, Vivek Kumar, et al.. (2024). Identification of theft in a power distribution network: A tree-based approach. Applied Soft Computing. 167. 112449–112449.
4.
Khan, Nasrullah, Zongmin Ma, Ruizhe Ma, & Kemal Polat. (2024). Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation. Knowledge-Based Systems. 304. 112475–112475. 5 indexed citations
5.
Polat, Kemal, et al.. (2024). MLFINet : A multi-level feature interaction 3D medical image segmentation network. Neurocomputing. 618. 129077–129077. 1 indexed citations
6.
Wang, Kangning, et al.. (2024). Convolution smoothing and non-convex regularization for support vector machine in high dimensions. Applied Soft Computing. 155. 111433–111433. 3 indexed citations
7.
Polat, Kemal, et al.. (2024). Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network. Advanced Engineering Informatics. 62. 102533–102533. 5 indexed citations
8.
Polat, Kemal, et al.. (2024). Failure analysis-based mass reduction of an aluminium alloy engine mounting bracket using Design of Experiments approach. Engineering Failure Analysis. 166. 108927–108927.
9.
Liu, Jinhao, Chenchu Xu, Lei Xu, et al.. (2023). Accurate 3D contrast-free myocardial infarction delineation using a 4D dual-stream spatiotemporal feature learning framework. Applied Soft Computing. 146. 110694–110694. 1 indexed citations
10.
Alhudhaif, Adi, et al.. (2023). An ensemble learning approach for resampling forgery detection using Markov process. Applied Soft Computing. 147. 110734–110734. 5 indexed citations
11.
Sharma, Arpit Kumar, Amita Nandal, Arvind Dhaka, et al.. (2023). Brain tumor classification using the modified ResNet50 model based on transfer learning. Biomedical Signal Processing and Control. 86. 105299–105299. 67 indexed citations
12.
Chen, Junfeng, Chen Chen, Majid Nour, et al.. (2023). Morphology properties of scapular spine relative to reverse shoulder arthroplasty: A biomechanical study. Biomedical Signal Processing and Control. 85. 104827–104827. 2 indexed citations
13.
Zhang, Weishi, et al.. (2023). Tinba: Incremental partitioning for efficient trajectory analytics. Advanced Engineering Informatics. 57. 102064–102064. 2 indexed citations
14.
Zhang, Dehuan, Jingchun Zhou, Weishi Zhang, et al.. (2023). TANet: Transmission and atmospheric light driven enhancement of underwater images. Expert Systems with Applications. 242. 122693–122693. 16 indexed citations
15.
Nour, Majid, et al.. (2023). A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach. Biomedical Signal Processing and Control. 89. 105751–105751. 38 indexed citations
16.
Nour, Majid, et al.. (2023). Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN. Computers in Biology and Medicine. 161. 107031–107031. 30 indexed citations
17.
Alhudhaif, Adi, et al.. (2023). A novel nonlinear automated multi-class skin lesion detection system using soft-attention based convolutional neural networks. Chaos Solitons & Fractals. 170. 113409–113409. 34 indexed citations
18.
Alenezi, Fayadh, et al.. (2023). A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain’s Electrical Activity Signals. Diagnostics. 13(3). 575–575. 3 indexed citations
19.
Chen, Yixia, Ming‐Wei Lin, He Zhu, et al.. (2023). Consistency- and dependence-guided knowledge distillation for object detection in remote sensing images. Expert Systems with Applications. 229. 120519–120519. 67 indexed citations
20.
Kumar, Mohit, et al.. (2022). Feature Extraction Approach for Speaker Verification to Support Healthcare System Using Blockchain Security for Data Privacy. Computational and Mathematical Methods in Medicine. 2022. 1–12. 10 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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