Mete Ahishali

445 total citations
17 papers, 218 citations indexed

About

Mete Ahishali is a scholar working on Artificial Intelligence, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Mete Ahishali has authored 17 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Aerospace Engineering and 4 papers in Computational Mechanics. Recurrent topics in Mete Ahishali's work include Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Soil Moisture and Remote Sensing (4 papers). Mete Ahishali is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Soil Moisture and Remote Sensing (4 papers). Mete Ahishali collaborates with scholars based in Finland, Qatar and Türkiye. Mete Ahishali's co-authors include Moncef Gabbouj, Serkan Kıranyaz, Mehmet Yamaç, Aysen Degerli, Muhammad E. H. Chowdhury, Türker İnce, Jenni Raitoharju, Bülent Sankur, Nikolaos Passalis and Rashid Mazhar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.

In The Last Decade

Mete Ahishali

16 papers receiving 211 citations

Peers

Mete Ahishali

RNMI

CVPR

Qianqian Du China

Guowu Yuan China

Noah S. Friedland United States

Sonali Sonali India

Ben Appleton Australia

Jia-Guu Leu Taiwan

Robert Kaucic United States

Maksym Kholiavchenko Russia

Sergi Caelles Switzerland

Yongbin Zheng China

Qianqian Du China

Mete Ahishali

97 ×1.1

RNMI

124 ×1.5

91 ×1.9

CVPR

33 ×0.8

41 ×1.1

Citations per year, relative to Mete Ahishali Mete Ahishali (= 1×) peers Qianqian Du

Countries citing papers authored by Mete Ahishali

Since Specialization

Citations

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

Fields of papers citing papers by Mete Ahishali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mete Ahishali

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

All Works

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17 of 17 papers shown

Xu, Lei, Mete Ahishali, & Moncef Gabbouj. (2025). Dropout Concrete Autoencoder for Band Selection on Hyperspectral Image Scenes. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations

Ahishali, Mete, et al.. (2025). Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description. Trepo - Institutional Repository of Tampere University. 1–5. 2 indexed citations

Ahishali, Mete, Aysen Degerli, Serkan Kıranyaz, et al.. (2024). R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification. Pattern Recognition. 156. 110765–110765. 3 indexed citations

Ahishali, Mete, Mehmet Yamaç, Serkan Kıranyaz, & Moncef Gabbouj. (2024). Operational Support Estimator Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8442–8458.

Ahishali, Mete, et al.. (2023). SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography. Computing in cardiology. 50. 3 indexed citations

Ahishali, Mete, et al.. (2023). Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification. Trepo - Institutional Repository of Tampere University. 953–959. 5 indexed citations

Yamaç, Mehmet, Mete Ahishali, Serkan Kıranyaz, & Moncef Gabbouj. (2022). Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing. Qatar University QSpace (Qatar University). 8 indexed citations

Ahishali, Mete, Serkan Kıranyaz, Türker İnce, & Moncef Gabbouj. (2022). Classification of polarimetric SAR images using compact convolutional neural networks. arXiv (Cornell University). 15 indexed citations

Yamaç, Mehmet, Mete Ahishali, Aysen Degerli, et al.. (2022). Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images. PubMed Central. 68 indexed citations

10.

Ahishali, Mete, Mehmet Yamaç, Serkan Kıranyaz, & Moncef Gabbouj. (2022). Representation based regression for object distance estimation. Neural Networks. 158. 15–29. 9 indexed citations

11.

Ahishali, Mete, Serkan Kıranyaz, Iftikhar Ahmad, & Moncef Gabbouj. (2022). SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection. 2022 IEEE International Conference on Image Processing (ICIP). 2296–2300. 12 indexed citations

12.

Ahishali, Mete, Aysen Degerli, Mehmet Yamaç, et al.. (2021). Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images. IEEE Access. 9. 41052–41065. 34 indexed citations

13.

Ahishali, Mete, Serkan Kıranyaz, Türker İnce, & Moncef Gabbouj. (2020). Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks. Qatar University QSpace (Qatar University). 73–76. 4 indexed citations

14.

Yamaç, Mehmet, Mete Ahishali, Nikolaos Passalis, et al.. (2020). Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. IEEE Transactions on Information Forensics and Security. 16. 1014–1028. 27 indexed citations

15.

Ahishali, Mete, Türker İnce, Serkan Kıranyaz, & Moncef Gabbouj. (2019). Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification. Qatar University QSpace (Qatar University). abs 1603 0. 2317–2324. 2 indexed citations

16.

Ahishali, Mete, Serkan Kıranyaz, Türker İnce, & Moncef Gabbouj. (2019). Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks. Remote Sensing. 11(11). 1340–1340. 20 indexed citations

17.

İnce, Türker, Mete Ahishali, & Serkan Kıranyaz. (2017). Comparison of polarimetrie SAR features for terrain classification using incremental training. 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS). 2. 3258–3262. 5 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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