Yiğitcan Kaya

644 total citations
6 papers, 61 citations indexed

About

Yiğitcan Kaya is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Yiğitcan Kaya has authored 6 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Sociology and Political Science. Recurrent topics in Yiğitcan Kaya's work include Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Yiğitcan Kaya is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Yiğitcan Kaya collaborates with scholars based in United States, Netherlands and United Kingdom. Yiğitcan Kaya's co-authors include Tudor Dumitraş, Sanghyun Hong, Pietro Frigo, Cristiano Giuffrida, Fabio Pierazzi, Lorenzo Cavallaro, Marcus Botacin, David Wagner and Yizheng Chen and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Yiğitcan Kaya

6 papers receiving 60 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiğitcan Kaya United States	4	48	21	18	15	11	6	61
Mike Chrzanowski United States	2	55 1.1×	23 1.1×	15 0.8×	22 1.5×	20 1.8×	4	77
Deukjo Hong South Korea	5	51 1.1×	34 1.6×	13 0.7×	6 0.4×	10 0.9×	19	57
Aleksei Udovenko Luxembourg	5	48 1.0×	33 1.6×	12 0.7×	6 0.4×	8 0.7×	15	59
Valentin Suder France	5	69 1.4×	32 1.5×	27 1.5×	6 0.4×	7 0.6×	8	72
Dongxian Wu China	5	63 1.3×	19 0.9×	10 0.6×	16 1.1×	3 0.3×	6	73
Patrick Derbez France	6	77 1.6×	53 2.5×	10 0.6×	7 0.5×	13 1.2×	19	85
Madhuri Shanbhogue United States	2	72 1.5×	38 1.8×	12 0.7×	13 0.9×	4 0.4×	2	82
Jorge Nakahara Belgium	5	67 1.4×	39 1.9×	18 1.0×	6 0.4×	5 0.5×	11	74
Sebastian Szyller Canada	2	56 1.2×	31 1.5×	5 0.3×	11 0.7×	8 0.7×	3	72
Frédéric Valette France	3	57 1.2×	19 0.9×	11 0.6×	14 0.9×	48 4.4×	5	65

Countries citing papers authored by Yiğitcan Kaya

Since Specialization

Citations

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

Fields of papers citing papers by Yiğitcan Kaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiğitcan Kaya

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

All Works

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6 of 6 papers shown

1.

Kaya, Yiğitcan, Yizheng Chen, Marcus Botacin, et al.. (2025). ML-Based Behavioral Malware Detection Is Far From a Solved Problem. 921–940. 1 indexed citations

2.

Kaya, Yiğitcan & Tudor Dumitraş. (2021). When Does Data Augmentation Help With Membership Inference Attacks. International Conference on Machine Learning. 5345–5355. 7 indexed citations

3.

Hong, Sanghyun, et al.. (2021). A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. 2 indexed citations

4.

Kaya, Yiğitcan, Sanghyun Hong, & Tudor Dumitraş. (2019). Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. International Conference on Machine Learning. 3301–3310. 18 indexed citations

5.

Hong, Sanghyun, Pietro Frigo, Yiğitcan Kaya, Cristiano Giuffrida, & Tudor Dumitraş. (2019). Terminal brain damage: exposing the graceless degradation in deep neural networks under hardware fault attacks. arXiv (Cornell University). 497–514. 30 indexed citations

6.

Kaya, Yiğitcan & Tudor Dumitraş. (2018). How to Stop Off-the-Shelf Deep Neural Networks from Overthinking.. arXiv (Cornell University). 3 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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