Yeşim Eroğlu

502 total citations
23 papers, 343 citations indexed

About

Yeşim Eroğlu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Yeşim Eroğlu has authored 23 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in Yeşim Eroğlu's work include Brain Tumor Detection and Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (4 papers). Yeşim Eroğlu is often cited by papers focused on Brain Tumor Detection and Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (4 papers). Yeşim Eroğlu collaborates with scholars based in Türkiye, China and United States. Yeşim Eroğlu's co-authors include Muhammed Yıldırım, Ahmet Çınar, Emine Cengil, Kadir Yıldırım, Hanefi Yıldırım, İrfan Kaygusuz, Erol Keleş, Turgut Karlıdağ, İlhami Kovanlıkaya and Abdurrahman Şahin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

Yeşim Eroğlu

19 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeşim Eroğlu Türkiye 9 131 126 73 66 36 23 343
Nils Gessert Germany 9 126 1.0× 135 1.1× 29 0.4× 59 0.9× 19 0.5× 24 336
Ashish Semwal India 8 76 0.6× 70 0.6× 27 0.4× 75 1.1× 36 1.0× 14 291
Jiancong Wang United States 12 175 1.3× 97 0.8× 75 1.0× 157 2.4× 23 0.6× 24 414
Le Ding China 6 93 0.7× 68 0.5× 47 0.6× 101 1.5× 15 0.4× 19 258
Tao Zhong China 11 233 1.8× 79 0.6× 28 0.4× 75 1.1× 31 0.9× 36 462
Pantelis Georgiadis Greece 10 152 1.2× 80 0.6× 111 1.5× 117 1.8× 27 0.8× 22 386
Muhammad Adeel Azam Italy 8 132 1.0× 104 0.8× 68 0.9× 147 2.2× 62 1.7× 20 455
Anup Sadhu India 12 209 1.6× 154 1.2× 64 0.9× 127 1.9× 123 3.4× 40 404
Paweł Badura Poland 12 107 0.8× 104 0.8× 48 0.7× 94 1.4× 42 1.2× 34 349
Liangliang Liu China 8 117 0.9× 160 1.3× 70 1.0× 175 2.7× 21 0.6× 21 481

Countries citing papers authored by Yeşim Eroğlu

Since Specialization
Citations

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

Fields of papers citing papers by Yeşim Eroğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeşim Eroğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Yeşim Eroğlu. A scholar is included among the top collaborators of Yeşim Eroğlu 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 Yeşim Eroğlu. Yeşim Eroğlu 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.
Yıldırım, Muhammed, et al.. (2023). Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model. Multimedia Tools and Applications. 82(21). 33379–33400. 8 indexed citations
2.
Keleş, Erol, Hanefi Yıldırım, İrfan Kaygusuz, et al.. (2023). Comparison of Computed Tomography-Based Artificial Intelligence Modeling and Magnetic Resonance Imaging in Diagnosis of Cholesteatoma. The Journal of International Advanced Otology. 19(4). 342–349. 6 indexed citations
3.
Gürgöze, M., et al.. (2023). A rare entity in a pediatric patient: coexistence of emphysematous cystitis and emphysematous pyelonephritis. The Turkish Journal of Pediatrics. 65(1). 149–154.
4.
Eroğlu, Yeşim, Muhammed Yıldırım, & Ahmet Çınar. (2023). Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images. Signal Image and Video Processing. 17(8). 4543–4550. 4 indexed citations
5.
Cengil, Emine, Yeşim Eroğlu, Ahmet Çınar, & Muhammed Yıldırım. (2023). Detection and Localization of Glioma and Meningioma Tumors in Brain MR Images using Deep Learning. SHILAP Revista de lepidopterología. 27(3). 550–563. 3 indexed citations
6.
Yıldırım, Özal, et al.. (2023). Vision Transformer Model for Efficient Stroke Detection in Neuroimaging. 1–6. 4 indexed citations
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9.
Poyrazoğlu, Hatice Gamze, et al.. (2022). Acute demyelinating encephalomyelitis and transverse myelitis in a child with COVID-19. The Turkish Journal of Pediatrics. 64(1). 133–137. 6 indexed citations
10.
Eroğlu, Yeşim, Muhammed Yıldırım, Turgut Karlıdağ, et al.. (2022). Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?. American Journal of Otolaryngology. 43(3). 103395–103395. 24 indexed citations
11.
Yıldırım, Muhammed, et al.. (2022). COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers. New Generation Computing. 40(4). 1077–1091. 23 indexed citations
12.
Eroğlu, Yeşim, Murat Baykara, İpek Perçinel Yazıcı, Kemal Utku Yazıcı, & Ahmet Kürşad Poyraz. (2022). Evaluation of the corpus callosum using magnetic resonance imaging histogram analysis in autism spectrum disorder. The Neuroradiology Journal. 35(6). 751–757. 1 indexed citations
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Eroğlu, Yeşim, Muhammed Yıldırım, & Ahmet Çınar. (2021). Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR. Computers in Biology and Medicine. 133. 104407–104407. 100 indexed citations
15.
Eroğlu, Yeşim, et al.. (2021). Pancreatic Damage and Radiological Changes in Patients With COVID-19. Cureus. 13(5). e14992–e14992. 4 indexed citations
16.
Eroğlu, Yeşim, Kadir Yıldırım, Ahmet Çınar, & Muhammed Yıldırım. (2021). Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model. Computer Methods and Programs in Biomedicine. 210. 106369–106369. 24 indexed citations
17.
Poyraz, Ahmet Kürşad, et al.. (2018). Computed Tomography Characteristics of the Acetabulum in Developmental Dysplasia of the Hip. Iranian Journal of Radiology. In Press(In Press).
18.
Şahin, Abdurrahman, Hakan Artaş, Yeşim Eroğlu, et al.. (2018). A Neglected Issue in Ulcerative Colitis: Mesenteric Lymph Nodes. Journal of Clinical Medicine. 7(6). 142–142. 3 indexed citations
19.
Şahin, Abdurrahman, et al.. (2017). An Overlooked Potentially Treatable Disorder: Idiopathic Mesenteric Panniculitis. Medical Principles and Practice. 26(6). 567–572. 12 indexed citations
20.
Büyükgebiz, Benal, et al.. (1995). Maroteaux-Lamy Syndrome Associated with Growth Hormone Deficiency. Journal of Pediatric Endocrinology and Metabolism. 8(4). 305–7. 12 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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