Gülşen Taşkın

828 total citations
62 papers, 598 citations indexed

About

Gülşen Taşkın is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gülşen Taşkın has authored 62 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Media Technology, 20 papers in Atmospheric Science and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gülşen Taşkın's work include Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (20 papers) and Face and Expression Recognition (14 papers). Gülşen Taşkın is often cited by papers focused on Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (20 papers) and Face and Expression Recognition (14 papers). Gülşen Taşkın collaborates with scholars based in Türkiye, United States and Spain. Gülşen Taşkın's co-authors include Esra Erten, Lorenzo Bruzzone, Okan K. Ersoy, Nebiye Musaoğlu, Mustafa E. Kamaşak, Gustau Camps‐Valls, Oğuzhan Ceylan, Tuğba Tabanlıgil Calam, Melba M. Crawford and Juan M. López‐Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Gülşen Taşkın

57 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gülşen Taşkın Türkiye 13 209 134 131 122 102 62 598
Zhongwei Li China 16 275 1.3× 136 1.0× 68 0.5× 101 0.8× 107 1.0× 89 804
Sildomar T. Monteiro Australia 16 438 2.1× 134 1.0× 103 0.8× 271 2.2× 149 1.5× 47 883
Pakorn Watanachaturaporn Thailand 6 149 0.7× 115 0.9× 172 1.3× 75 0.6× 97 1.0× 15 611
Liqin Cao China 14 253 1.2× 110 0.8× 113 0.9× 141 1.2× 144 1.4× 39 737
Dariush Abbasi‐Moghadam Iran 16 337 1.6× 255 1.9× 236 1.8× 110 0.9× 126 1.2× 55 1.1k
Wilson Jose ́ de Oliveira Brazil 9 161 0.8× 49 0.4× 110 0.8× 80 0.7× 76 0.7× 13 478
Jianwei Ding China 16 245 1.2× 115 0.9× 85 0.6× 208 1.7× 116 1.1× 50 694
Yao Xu China 10 247 1.2× 138 1.0× 78 0.6× 37 0.3× 59 0.6× 16 508
Shanjun Mao China 11 463 2.2× 326 2.4× 96 0.7× 88 0.7× 53 0.5× 33 886
H. Lexie Yang United States 14 421 2.0× 147 1.1× 119 0.9× 223 1.8× 93 0.9× 42 743

Countries citing papers authored by Gülşen Taşkın

Since Specialization
Citations

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

Fields of papers citing papers by Gülşen Taşkın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gülşen Taşkın

This figure shows the co-authorship network connecting the top 25 collaborators of Gülşen Taşkın. A scholar is included among the top collaborators of Gülşen Taşkın 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 Gülşen Taşkın. Gülşen Taşkın 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.
Ülker, Mehmet, et al.. (2025). Prediction of pore water pressure generation of liquefiable clean sands under cyclic shear loading through deep learning. Geomechanics and Geoengineering. 20(5). 1006–1027.
3.
Taşkın, Gülşen, et al.. (2024). No more black-boxes: estimate deformation capacity of non-ductile RC shear walls based on generalized additive models. Bulletin of Earthquake Engineering. 24(1). 301–318. 5 indexed citations
4.
Taşkın, Gülşen, et al.. (2023). Betonarme perdelerde enerji sönümleme kapasitesinin meta-modelleme yöntemleriyle incelenmesi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 38(4). 2311–2324. 1 indexed citations
5.
Çelik, Mehmet Furkan, et al.. (2023). Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 24 indexed citations
6.
Vivone, Gemine, Dalton Lunga, Francescopaolo Sica, et al.. (2023). Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 11(2). 95–100.
8.
Taşkın, Gülşen, et al.. (2023). Evaluation of Modern Deep Learning Architectures in Remote Sensing Scene Classification. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–5. 1 indexed citations
9.
Ülker, Mehmet, et al.. (2023). Data-driven modeling of ultimate load capacity of closed- and open-ended piles using machine learning. International Journal of Geotechnical Engineering. 17(4). 393–407. 6 indexed citations
10.
Taşkın, Gülşen, et al.. (2022). An earthquake damage identification approach from VHR image using mathematical morphology and machine learning. Neural Computing and Applications. 34(21). 18757–18771. 2 indexed citations
11.
Taşkın, Gülşen. (2022). A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations
12.
Taşkın, Gülşen, et al.. (2022). A novel GPR-based prediction model for cyclic backbone curves of reinforced concrete shear walls. Engineering Structures. 255. 113874–113874. 18 indexed citations
13.
Ertürk, Alp & Gülşen Taşkın. (2021). Change Detection with Manifold Embedding for Hyperspectral Images. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 24. 1–4. 2 indexed citations
14.
Taşkın, Gülşen & Gustau Camps‐Valls. (2021). Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 9 indexed citations
15.
Erten, Esra, Gülşen Taşkın, & Juan M. López‐Sánchez. (2019). Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis. IEEE Geoscience and Remote Sensing Letters. 16(5). 766–770. 17 indexed citations
16.
Taşkın, Gülşen, et al.. (2016). Paddy-Rice Phenology Classification Based on Machine-Learning Methods Using Multitemporal Co-Polar X-Band SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(6). 2509–2519. 71 indexed citations
17.
Taşkın, Gülşen. (2015). A comprehensive analysis of twin support vector machines in remote sensing image classification. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 2427–2429. 2 indexed citations
18.
Taşkın, Gülşen, et al.. (2014). Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 642–645. 3 indexed citations
19.
Taşkın, Gülşen, Nebiye Musaoğlu, & Okan K. Ersoy. (2011). Damage Assessment of 2010 Haiti Earthquake with Post-Earthquake Satellite Image by Support Vector Selection and Adaptation. Photogrammetric Engineering & Remote Sensing. 77(10). 1025–1035. 41 indexed citations
20.
Taşkın, Gülşen, Okan K. Ersoy, & Mustafa E. Kamaşak. (2009). Support Vector Selection and Adaptation and its application in remote sensing. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 408–412. 7 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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