Baha Şen

1.4k total citations
62 papers, 1.0k citations indexed

About

Baha Şen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Baha Şen has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Baha Şen's work include Retinal Imaging and Analysis (8 papers), Corneal surgery and disorders (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Baha Şen is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Corneal surgery and disorders (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Baha Şen collaborates with scholars based in Türkiye and United States. Baha Şen's co-authors include Musa Peker, Dursun Delen, Fatih V. Çelebi, Abdullah Çavuşoğlu, Kemal Akyol, Emine Uçar, Emrullah Sonuç, Pınar Yıldız, Hüseyin Gürüler and Hande Arslan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Applied Sciences.

In The Last Decade

Baha Şen

58 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baha Şen Türkiye	14	366	233	220	155	112	62	1.0k
Xiangwei Zheng China	21	539 1.5×	202 0.9×	416 1.9×	240 1.5×	48 0.4×	136	1.6k
Νικόλαος Γιαννακέας Greece	22	680 1.9×	127 0.5×	300 1.4×	119 0.8×	151 1.3×	117	1.6k
Austin J. Brockmeier United States	12	273 0.7×	93 0.4×	291 1.3×	170 1.1×	81 0.7×	44	1.1k
László A. Jeni United States	18	266 0.7×	147 0.6×	286 1.3×	692 4.5×	64 0.6×	54	1.5k
Francisco J. Martínez-Murcia Spain	21	304 0.8×	55 0.2×	264 1.2×	238 1.5×	256 2.3×	62	1.3k
Tomas Blažauskas Lithuania	17	128 0.3×	110 0.5×	142 0.6×	286 1.8×	13 0.1×	50	1.0k
Galip Aydın Türkiye	17	191 0.5×	79 0.3×	365 1.7×	225 1.5×	183 1.6×	45	1.2k
Vivek Kanhangad India	21	368 1.0×	780 3.3×	197 0.9×	737 4.8×	167 1.5×	52	1.5k
Parisa Moridian Australia	17	745 2.0×	154 0.7×	301 1.4×	205 1.3×	281 2.5×	19	1.4k
Hyun‐Chul Kim South Korea	18	192 0.5×	84 0.4×	345 1.6×	292 1.9×	237 2.1×	58	1.5k

Countries citing papers authored by Baha Şen

Since Specialization

Citations

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

Fields of papers citing papers by Baha Şen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baha Şen

This figure shows the co-authorship network connecting the top 25 collaborators of Baha Şen. A scholar is included among the top collaborators of Baha Şen 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 Baha Şen. Baha Şen 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

Şen, Baha, et al.. (2024). Reducing Model Complexity in Neural Networks by Using Pyramid Training Approaches. Applied Sciences. 14(13). 5898–5898. 3 indexed citations

Şen, Baha, et al.. (2024). Document Retrieval System for Biomedical Question Answering. Applied Sciences. 14(6). 2613–2613.

Karim, Ahmad, et al.. (2022). New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images. Symmetry. 14(5). 1003–1003. 15 indexed citations

Şen, Baha, et al.. (2021). A hybrid CNN-LSTM model for pre-miRNA classification. Scientific Reports. 11(1). 14125–14125. 62 indexed citations

Akyol, Kemal & Baha Şen. (2021). Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images. Interdisciplinary Sciences Computational Life Sciences. 14(1). 89–100. 7 indexed citations

Akyol, Kemal, et al.. (2020). Parkinson Hastalığı İçin Öznitelik Seçiminin Önemi. Academic Platform Journal of Engineering and Smart Systems. 175–180. 2 indexed citations

Akyol, Kemal & Baha Şen. (2018). Diabetes Mellitus Data Classification by Cascading of Feature Selection Methods and Ensemble Learning Algorithms. International Journal of Modern Education and Computer Science. 10(6). 10–16. 13 indexed citations

Şen, Baha, et al.. (2018). An Automated Grading and Diagnosis System for Evaluation of Dry Eye Syndrome. Journal of Medical Systems. 42(11). 227–227. 11 indexed citations

Gürüler, Hüseyin, et al.. (2017). A new fuzzy logic based career guidance system: WEB-CGS. Tehnicki vjesnik - Technical Gazette. 24(6). 12 indexed citations

10.

Akyol, Kemal, et al.. (2016). Detection of Hard Exudates in Retinal Fundus Images based on Important Features Obtained from Local Image Descriptors. 4(3). 59–66. 1 indexed citations

11.

Uçar, Murat, Hasan Basri Çakmak, & Baha Şen. (2016). A statistical approach to classification of keratoconus. International Journal of Ophthalmology. 9(9). 1355–7. 7 indexed citations

12.

Çavuşoğlu, Abdullah, et al.. (2016). Disaster Management and Disaster Preparedness: Examples of Practices in California and Turkey. DergiPark (Istanbul University). 1 indexed citations

13.

Şen, Baha, et al.. (2015). Automated detection of optic disc in retinal fundus images using gabor filter kernels. 5(1). 43–50. 1 indexed citations

14.

Şen, Baha, et al.. (2015). Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks. Journal of Medical Systems. 39(2). 18–18. 17 indexed citations

15.

Şen, Baha, et al.. (2014). Prioritization of Graduate Education Courses with Analytic Hierarchy Process. AYBU AVESIS. 2 indexed citations

16.

Şen, Baha, Musa Peker, Abdullah Çavuşoğlu, & Fatih V. Çelebi. (2014). A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms. Journal of Medical Systems. 38(3). 18–18. 209 indexed citations

17.

Şen, Baha & Musa Peker. (2013). An efficient approach based on mrMR feature selection and decision tree for automatic sleep stage scoring. AYBU AVESIS. 1 indexed citations

18.

Şen, Baha, et al.. (2012). An efficient Pseudo microprocessor for engineering education. Procedia Technology. 1. 36–43. 2 indexed citations

19.

Şen, Baha, et al.. (2007). Bilgisayar ve Öğretim Teknolojileri Eğitimi Bölümü Öğrencilerinin Öğrenme Stilleri. AYBU AVESIS. 8(2). 129–148. 3 indexed citations

20.

Çavuşoğlu, Abdullah, et al.. (2007). The Use of Artificial Neural Networks in Simulation of Mobile Ground Vehicles. Mathematical and Computational Applications. 12(2). 87–96. 3 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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