Davut Hanbay
- Plant Science top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Analytical Chemistry top 2%
- Media Technology top 2%
- Co-authors
- Muammer TürkoğluAli ArıAhmet BaylarHüseyin FıratHüseyin Üzenİbrahim TürkoğluAbdulkadir ŞengürBerrin Yanıkoğlu
- Topics
- Smart Agriculture and AI (14 papers)Remote-Sensing Image Classification (12 papers)Industrial Vision Systems and Defect Detection (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
In The Last Decade
Davut Hanbay
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 151
- Plant Science 538
- Computer Vision and Pattern Recognition 414
- Artificial Intelligence 380
- Analytical Chemistry 255
- Media Technology 215
Countries citing papers authored by Davut Hanbay
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | Effective Classification of Phishing Web Pages Based on New Rules by Using Extreme Learning Machines | 21 |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | Chua devresinin yapay sinir ağı ile modellenmesi | 1 |
About Davut Hanbay
Davut Hanbay is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (14 papers), Remote-Sensing Image Classification (12 papers) and Industrial Vision Systems and Defect Detection (10 papers). The work is most often cited by research in Analytical Chemistry (255 citations), Media Technology (215 citations) and Neurology (186 citations). Davut Hanbay has collaborated with scholars based in Türkiye, Spain and Myanmar. Frequent co-authors include Muammer Türkoğlu, Ali Arı, Ahmet Baylar, Hüseyin Fırat, Hüseyin Üzen, İbrahim Türkoğlu, Abdulkadir Şengür, Berrin Yanıkoğlu, Asaf Varol and Nuh Alpaslan. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.