Hülya Yalçın
- Plant Science top 10%
- Ecology
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 5%
- Artificial Intelligence
- Co-authors
- Salar RazaviH. Işıl BozmaSanem SarıelW. WolovichRobert T. CollinsMartial HebertLale AkarunCem Ersoy
- Topics
- Smart Agriculture and AI (13 papers)Remote Sensing in Agriculture (10 papers)Spectroscopy and Chemometric Analyses (9 papers)
- Journals
- Computer Vision and Image UnderstandingRobotics and Computer-Integrated ManufacturingJournal of Manufacturing Science and Engineering
- Partner nations
- TürkiyeUnited StatesCzechia
In The Last Decade
Hülya Yalçın
39 papers receiving 430 citations
Peers
Comparison fields: 5 of 87
- Plant Science 243
- Ecology 93
- Computer Vision and Pattern Recognition 92
- Analytical Chemistry 88
- Artificial Intelligence 67
Countries citing papers authored by Hülya Yalçın
This map shows the geographic impact of Hülya Yalçın'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 Hülya Yalçın with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hülya Yalçın more than expected).
Fields of papers citing papers by Hülya Yalçın
This network shows the impact of papers produced by Hülya Yalçın. 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 Hülya Yalçın. The network helps show where Hülya Yalçın may publish in the future.
Co-authorship network of co-authors of Hülya Yalçın
This figure shows the co-authorship network connecting the top 25 collaborators of Hülya Yalçın. A scholar is included among the top collaborators of Hülya Yalçın 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 Hülya Yalçın. Hülya Yalçın is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 28 | |
| 17 | Scene Interpretation for Self-Aware Cognitive Robots | 14 |
| 18 | 6 | |
| 19 | 11 | |
| 20 | 31 |
About Hülya Yalçın
Hülya Yalçın is a scholar working on Chemical Health and Safety, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 474 indexed citations. Recurring topics across this work include Smart Agriculture and AI (13 papers), Remote Sensing in Agriculture (10 papers) and Spectroscopy and Chemometric Analyses (9 papers). The work is most often cited by research in Analytical Chemistry (88 citations), Plant Science (243 citations) and Computer Vision and Pattern Recognition (92 citations). Hülya Yalçın has collaborated with scholars based in Türkiye, United States and Czechia. Frequent co-authors include Salar Razavi, H. Işıl Bozma, Sanem Sarıel, W. Wolovich, Robert T. Collins, Martial Hebert, Lale Akarun, Cem Ersoy, Andrey Ronzhin and Miloš Železný. Their work appears in journals such as Computer Vision and Image Understanding, Robotics and Computer-Integrated Manufacturing and Journal of Manufacturing Science and Engineering.
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.