Yakup Genç

1.6k total citations
77 papers, 1.2k citations indexed

About

Yakup Genç is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Yakup Genç has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 27 papers in Aerospace Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Yakup Genç's work include Advanced Vision and Imaging (27 papers), Robotics and Sensor-Based Localization (24 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Yakup Genç is often cited by papers focused on Advanced Vision and Imaging (27 papers), Robotics and Sensor-Based Localization (24 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Yakup Genç collaborates with scholars based in United States, Türkiye and Germany. Yakup Genç's co-authors include Nassir Navab, Jan‐Michael Frahm, Marc Pollefeys, Sudipta N. Sinha, Mihran Tüceryan, J. Oliensis, Cüneyt Akınlar, Fabian Wenzel, Frank Sauer and Yanghai Tsin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Yakup Genç

68 papers receiving 1.1k citations

Peers

Countries citing papers authored by Yakup Genç

Since Specialization

Citations

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

Fields of papers citing papers by Yakup Genç

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakup Genç

This figure shows the co-authorship network connecting the top 25 collaborators of Yakup Genç. A scholar is included among the top collaborators of Yakup Genç 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 Yakup Genç. Yakup Genç is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning With Adaptive Quantization and Differential Privacy 2025 ·IEEE Access ·(unknown), Yakup Genç	1
2	Sample selection using multi-task autoencoders in federated learning with non-IID data 2024 ·Engineering Science and Technology an International Journal ·(unknown), Yakup Genç	2
3	Indoor Human Counting Based on Range-Doppler Spectrum in the Presence of Material Penetration and Occlusion 2024 ·(unknown), (unknown), Yakup Genç, Yusuf Sinan Akgül	0
4	mmWave Frequency Modulated Continuous Wave Radar-based Human Action Recognition 2024 ·(unknown), (unknown), Yakup Genç, Yusuf Sinan Akgül	0
5	D3NET (divide and detect drivable area net): deep learning based drivable area detection and its embedded application 2023 ·Journal of Real-Time Image Processing ·(unknown), (unknown), Yakup Genç, Oğuzhan Urhan	3
6	Condition Monitoring and Fault Diagnosis of a Marine Diesel Engine with Machine Learning Techniques 2023 ·Pomorstvo ·(unknown), (unknown), Yakup Genç	5
7	A Comparative Analysis of Synthetic Data Generation with VAE and CTGAN Models on Financial Credit Loan Offer Data 2023 ·(unknown), (unknown), Yakup Genç	2
8	Direct pose estimation from RGB images using 3D objects 2022 ·Pamukkale University Journal of Engineering Sciences ·(unknown), Yakup Genç	1
9	Skeleton-aware Multi-scale Heatmap Regression for 2D Hand Pose Estimation 2021 ·Informatica ·(unknown), Yakup Genç	7
10	Image inpainting using scene constraints 2021 ·Signal Processing Image Communication ·(unknown), Yakup Genç	2
11	Remaining Useful Life Prediction for Experimental Filtration System: A Data Challenge 2020 ·PHM Society European Conference ·(unknown), (unknown), Yakup Genç	9
12	Data Analysis for Automobile Brake Fluid Fill Process Leakage Detection using Machine Learning Methods 2019 ·(unknown), Yakup Genç	1
13	Machine learning for product quality inspection 2017 ·(unknown), Yakup Genç	3
14	Edge Drawing: A Heuristic Approach to Robust Real-Time Edge Detection 2010 ·Cihan Topal, Cüneyt Akınlar, Yakup Genç	31
15	Explicit 3D Modeling for Vehicle Monitoring in Non-overlapping Cameras 2009 ·Yanghai Tsin, Yakup Genç, Visvanathan Ramesh	7
16	Robust unambiguous parametrization of the essential manifold 2008 ·Raghav Subbarao, Yakup Genç, Peter Meer	5
17	Fusion of 3D and appearance models for fast object detection and pose estimation 2006 ·(unknown), Yakup Genç, Nassir Navab	1
18	An on-line evaluation system for optical see-through augmented reality 2004 ·Nassir Navab, Siavash Zokai, Yakup Genç, (unknown)	12
19	Single-Point Active Alignment Method (SPAAM) for Optical See-Through HMD Calibration for Augmented Reality 2002 ·PRESENCE Virtual and Augmented Reality ·Mihran Tüceryan, Yakup Genç, Nassir Navab	86
20	Practical solutions for calibration of optical see-through devices 2002 ·Yakup Genç, Mihran Tüceryan, Nassir Navab	39

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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