Samet Akçay

2.2k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Samet Akçay is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Samet Akçay has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Samet Akçay's work include Advanced Neural Network Applications (13 papers), Anomaly Detection Techniques and Applications (10 papers) and Advanced X-ray and CT Imaging (5 papers). Samet Akçay is often cited by papers focused on Advanced Neural Network Applications (13 papers), Anomaly Detection Techniques and Applications (10 papers) and Advanced X-ray and CT Imaging (5 papers). Samet Akçay collaborates with scholars based in United Kingdom, United Arab Emirates and Australia. Samet Akçay's co-authors include Toby P. Breckon, Mikolaj Kundegorski, Amir Atapour–Abarghouei, Chris G. Willcocks, Mohammed Bennamoun, Taimur Hassan, Naoufel Werghi, Salman Khan, Ashwin Vaidya and André Mouton and has published in prestigious journals such as Sensors, Pattern Recognition and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Samet Akçay

21 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2019 293 citations Samet Akçay, Amir Atapour–Abarghouei et al. Durham Research Online (Durham University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samet Akçay United Kingdom	12	651	539	373	282	144	23	1.2k
Philipp Seeböck Austria	9	274 0.4×	661 1.2×	93 0.2×	460 1.6×	153 1.1×	19	1.2k
Omar Elharrouss Qatar	20	868 1.3×	328 0.6×	98 0.3×	270 1.0×	27 0.2×	65	1.4k
Zhi Zhang China	14	468 0.7×	602 1.1×	75 0.2×	87 0.3×	61 0.4×	62	1.4k
Siyuan Qiao United States	13	1.0k 1.6×	375 0.7×	70 0.2×	64 0.2×	138 1.0×	25	1.4k
Alfredo Paolillo Italy	21	404 0.6×	203 0.4×	172 0.5×	49 0.2×	115 0.8×	79	1.2k
Huijuan Xu United States	12	1.1k 1.6×	731 1.4×	94 0.3×	65 0.2×	56 0.4×	28	1.5k
Yuji Iwahori Japan	15	574 0.9×	178 0.3×	85 0.2×	112 0.4×	102 0.7×	167	973
Lixin Zheng China	16	741 1.1×	448 0.8×	111 0.3×	473 1.7×	28 0.2×	53	1.5k
Chris G. Willcocks United Kingdom	9	319 0.5×	232 0.4×	131 0.4×	153 0.5×	54 0.4×	20	627

Countries citing papers authored by Samet Akçay

Since Specialization

Citations

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

Fields of papers citing papers by Samet Akçay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samet Akçay

This figure shows the co-authorship network connecting the top 25 collaborators of Samet Akçay. A scholar is included among the top collaborators of Samet Akçay 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 Samet Akçay. Samet Akçay 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

Anwar, Mohamed, Muhammad Owais, Samet Akçay, et al.. (2025). Regressor driven incremental instance segmentation for contraband items identification. Engineering Applications of Artificial Intelligence. 157. 111421–111421.

Vaidya, Ashwin, et al.. (2024). Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble. 3866–3875. 3 indexed citations

Hassan, Taimur, Hina Raja, Kais Belwafi, et al.. (2024). A Vision Language Correlation Framework for Screening Disabled Retina. IEEE Journal of Biomedical and Health Informatics. 29(2). 1283–1296.

Hassan, Taimur, Samet Akçay, Bilal Hassan, et al.. (2023). Cascaded structure tensor for robust baggage threat detection. Neural Computing and Applications. 35(15). 11269–11285. 8 indexed citations

Hassan, Taimur, et al.. (2023). Incremental Instance Segmentation for Cluttered Baggage Threat Detection. 1–6. 2 indexed citations

Hassan, Taimur, Samet Akçay, Mohammed Bennamoun, Salman Khan, & Naoufel Werghi. (2021). A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. IEEE Transactions on Systems Man and Cybernetics Systems. 52(11). 6937–6951. 34 indexed citations

Akçay, Samet, et al.. (2021). Autoencoders Without Reconstruction for Textural Anomaly Detection. Durham Research Online (Durham University). 1–8. 3 indexed citations

Alshammari, Naif, Samet Akçay, & Toby P. Breckon. (2021). Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. 27. 1428–1435. 1 indexed citations

Hassan, Taimur, et al.. (2020). Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. UWA Profiles and Research Repository (University of Western Australia). 2016–2020. 52 indexed citations

10.

Hassan, Taimur, Muhammad Shafay, Samet Akçay, et al.. (2020). Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. Sensors. 20(22). 6450–6450. 43 indexed citations

11.

Akçay, Samet, Amir Atapour–Abarghouei, & Toby P. Breckon. (2019). Durham Research Online (Durham University). 293 indexed citations breakdown →

12.

Gaus, Yona Falinie A., et al.. (2019). Evaluating a dual convolutional neural network architecture for object-wise anomaly detection in cluttered x-ray security imagery.. Durham Research Online (Durham University). 46 indexed citations

13.

Hassan, Taimur, et al.. (2019). Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs.. arXiv (Cornell University). 12 indexed citations

14.

Atapour–Abarghouei, Amir, et al.. (2019). Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. Pattern Recognition. 91. 232–244. 22 indexed citations

15.

Alshammari, Naif, Samet Akçay, & Toby P. Breckon. (2018). On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding. Durham Research Online (Durham University). 1027–1032. 10 indexed citations

16.

Akçay, Samet, et al.. (2018). On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks. Durham Research Online (Durham University). 15. 3413–3417. 7 indexed citations

17.

Akçay, Samet, Mikolaj Kundegorski, Chris G. Willcocks, & Toby P. Breckon. (2018). Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. IEEE Transactions on Information Forensics and Security. 13(9). 2203–2215. 237 indexed citations

18.

Akçay, Samet & Toby P. Breckon. (2017). An evaluation of region based object detection strategies within X-ray baggage security imagery. Durham Research Online (Durham University). 1337–1341. 66 indexed citations

19.

Kundegorski, Mikolaj, Samet Akçay, Michael Devereux, André Mouton, & Toby P. Breckon. (2016). On using Feature Descriptors as Visual Words for Object Detection within X-ray Baggage Security Screening. Durham Research Online (Durham University). 12 (6 .)–12 (6 .). 54 indexed citations

20.

Akçay, Samet, et al.. (2016). Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery. Durham Research Online (Durham University). 1057–1061. 196 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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