Davut Hanbay

2.8k total citations
104 papers, 2.1k citations indexed

About

Davut Hanbay is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Davut Hanbay has authored 104 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 18 papers in Media Technology. Recurrent topics in Davut Hanbay's work include Smart Agriculture and AI (14 papers), Remote-Sensing Image Classification (12 papers) and Industrial Vision Systems and Defect Detection (10 papers). Davut Hanbay is often cited by papers focused on Smart Agriculture and AI (14 papers), Remote-Sensing Image Classification (12 papers) and Industrial Vision Systems and Defect Detection (10 papers). Davut Hanbay collaborates with scholars based in Türkiye, Spain and Myanmar. Davut Hanbay's co-authors include Muammer Türkoğlu, Ali Arı, Ahmet Baylar, Hüseyin Fırat, Hüseyin Üzen, İbrahim Türkoğlu, Abdulkadir Şengür, Berrin Yanıkoğlu, Asaf Varol and Nuh Alpaslan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Davut Hanbay

96 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davut Hanbay Türkiye 25 538 414 380 255 215 104 2.1k
Weikuan Jia China 31 1.1k 2.0× 619 1.5× 684 1.8× 456 1.8× 151 0.7× 128 3.2k
Argel A. Bandala Philippines 26 777 1.4× 685 1.7× 255 0.7× 228 0.9× 237 1.1× 389 3.1k
Zhaohui Zheng China 8 463 0.9× 2.3k 5.6× 409 1.1× 148 0.6× 420 2.0× 15 3.8k
Rongguang Ye China 4 407 0.8× 2.3k 5.6× 377 1.0× 107 0.4× 417 1.9× 5 3.7k
Ying Cai China 10 231 0.4× 698 1.7× 172 0.5× 78 0.3× 161 0.7× 37 1.7k
Nitin Goyal India 30 489 0.9× 220 0.5× 365 1.0× 176 0.7× 87 0.4× 126 2.7k
Yueh-Hua Wu Taiwan 3 333 0.6× 1.9k 4.7× 336 0.9× 69 0.3× 359 1.7× 6 3.2k
Ping-Yang Chen Taiwan 9 343 0.6× 2.1k 5.0× 351 0.9× 74 0.3× 410 1.9× 22 3.5k
Kadir Sabancı Türkiye 25 652 1.2× 300 0.7× 429 1.1× 421 1.7× 46 0.2× 110 2.1k
Feras Dayoub Australia 18 1.1k 2.1× 1.5k 3.7× 341 0.9× 346 1.4× 154 0.7× 55 3.1k

Countries citing papers authored by Davut Hanbay

Since Specialization
Citations

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

Fields of papers citing papers by Davut Hanbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davut Hanbay

This figure shows the co-authorship network connecting the top 25 collaborators of Davut Hanbay. A scholar is included among the top collaborators of Davut Hanbay 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 Davut Hanbay. Davut Hanbay 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.
Daş, Resul, et al.. (2025). A Novel Approach for Cyber Threat Analysis Systems Using BERT Model from Cyber Threat Intelligence Data. Symmetry. 17(4). 587–587. 2 indexed citations
2.
Hanbay, Davut, et al.. (2024). Novel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devices. Multimedia Tools and Applications. 83(29). 72789–72817. 13 indexed citations
3.
Hanbay, Davut, et al.. (2024). Real-Time Scalable System For Face Tracking In Multi-Camera. Journal of Polytechnic. 27(6). 2215–2224.
4.
Hanbay, Davut, et al.. (2024). Improving Cell Image Segmentation by Using Isotropic Undecimated Wavelet Transform. IEEE Access. 12. 159902–159912.
5.
Fırat, Hüseyin, Hüseyin Üzen, Davut Hanbay, & Abdulkadir Şengür. (2024). ConvNext Mixer‐Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images. International Journal of Imaging Systems and Technology. 34(5). 3 indexed citations
6.
Hanbay, Davut, et al.. (2023). Feature Selection From MagFace Face Recognition Model With Optimization Algorithms. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 35(2). 561–567.
7.
Alpaslan, Nuh, et al.. (2023). Evrişimsel Sinir Ağı Mimarileri ve Öğrenim Aktarma ile Bitki Zararlısı Çekirge Türlerinin Sınıflandırması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 35(1). 321–331. 3 indexed citations
8.
Üzen, Hüseyin, et al.. (2023). Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 138(1). 149–161. 14 indexed citations
9.
Hanbay, Davut, et al.. (2023). Mikroskobik Kan Hücre Görüntülerinin Güncel Derin Öğrenme Mimarileri ile Bölütlemesi. DergiPark (Istanbul University). 5(1). 135–141. 3 indexed citations
10.
Fırat, Hüseyin, et al.. (2023). Multiscale Feature Fusion for Hyperspectral Image Classification Using Hybrid 3D-2D Depthwise Separable Convolution Networks. Traitement du signal. 40(5). 1921–1939. 1 indexed citations
11.
Fırat, Hüseyin, et al.. (2022). Spatial-spectral classification of hyperspectral remote sensing images using 3D CNN based LeNet-5 architecture. Infrared Physics & Technology. 127. 104470–104470. 22 indexed citations
12.
Üzen, Hüseyin, Muammer Türkoğlu, & Davut Hanbay. (2022). Multi-dimensional feature extraction-based deep encoder–decoder network for automatic surface defect detection. Neural Computing and Applications. 35(4). 3263–3282. 12 indexed citations
13.
Arı, Ali, et al.. (2021). Deep Feature Selection for Facial Emotion Recognition Based on BPSO and SVM. Journal of Polytechnic. 26(1). 131–142. 7 indexed citations
14.
Türkoğlu, Muammer, et al.. (2020). Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 9(1). 334–345. 12 indexed citations
15.
Arı, Ali & Davut Hanbay. (2018). Bölgesel Evrişimsel Sinir Ağları Tabanlı MR Görüntülerinde Tümör Tespiti. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 2018(18-2). 15 indexed citations
16.
Hanbay, Davut, et al.. (2017). Effective Classification of Phishing Web Pages Based on New Rules by Using Extreme Learning Machines. DergiPark (Istanbul University). 21 indexed citations
17.
Arı, Ali, et al.. (2017). Leaf recognition based on artificial neural network. 1–5. 4 indexed citations
18.
Hanbay, Davut, et al.. (2017). Robot arm control with for SSVEP-based brain signals in brain computer interface. 1–6. 3 indexed citations
19.
Avcı, Engin, Abdulkadir Şengür, & Davut Hanbay. (2008). An optimum feature extraction method for texture classification. Expert Systems with Applications. 36(3). 6036–6043. 13 indexed citations
20.
Hanbay, Davut, İbrahim Türkoğlu, & Yakup Demir. (2007). Chua devresinin yapay sinir ağı ile modellenmesi. 19(1). 67–72. 1 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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