Emre Aksu

493 total citations
32 papers, 208 citations indexed

About

Emre Aksu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Emre Aksu has authored 32 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 7 papers in Sociology and Political Science. Recurrent topics in Emre Aksu's work include Video Coding and Compression Technologies (12 papers), Image and Video Quality Assessment (9 papers) and Advanced Image Processing Techniques (8 papers). Emre Aksu is often cited by papers focused on Video Coding and Compression Technologies (12 papers), Image and Video Quality Assessment (9 papers) and Advanced Image Processing Techniques (8 papers). Emre Aksu collaborates with scholars based in Finland, Türkiye and Austria. Emre Aksu's co-authors include Francesco Cricri, Çağlar Aytekin, Miska M. Hannuksela, Jani Lainema, Hamed R. Tavakoli, Vinod Kumar Malamal Vadakital, Igor D. D. Curcio, Honglei Zhang, Esa Rahtu and Yu You and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Multimedia.

In The Last Decade

Emre Aksu

28 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emre Aksu Finland 7 145 67 63 22 15 32 208
Huamin Feng China 9 189 1.3× 62 0.9× 45 0.7× 13 0.6× 17 1.1× 28 265
Michael Isnardi United States 8 86 0.6× 30 0.4× 83 1.3× 28 1.3× 21 1.4× 18 145
Difei Gao Singapore 8 213 1.5× 139 2.1× 17 0.3× 9 0.4× 6 0.4× 22 263
Christos Tzelepis United Kingdom 9 162 1.1× 65 1.0× 29 0.5× 4 0.2× 10 0.7× 21 208
Eric Zavesky United States 11 359 2.5× 163 2.4× 58 0.9× 20 0.9× 23 1.5× 25 438
Sani M. Abdullahi China 9 259 1.8× 73 1.1× 93 1.5× 10 0.5× 7 0.5× 25 332
Shigeyuki Sakazawa Japan 9 212 1.5× 16 0.2× 76 1.2× 6 0.3× 10 0.7× 59 238
Lie Gu United States 7 290 2.0× 30 0.4× 56 0.9× 5 0.2× 6 0.4× 7 319
Yuzhuo Zhong China 10 305 2.1× 34 0.5× 155 2.5× 54 2.5× 32 2.1× 51 360

Countries citing papers authored by Emre Aksu

Since Specialization
Citations

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

Fields of papers citing papers by Emre Aksu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Aksu

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

All Works

20 of 20 papers shown
1.
Begen, Ali C., et al.. (2023). Quality Upshifting with Auxiliary I-Frame Splicing. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 119–122. 2 indexed citations
2.
Curcio, Igor D. D., et al.. (2022). Viewport-Dependent Delivery for Conversational Immersive Video. IEEE Access. 10. 129539–129551. 1 indexed citations
3.
Begen, Ali C., et al.. (2022). Could Head Motions Affect Quality When Viewing 360° Videos?. IEEE Multimedia. 30(2). 28–37. 2 indexed citations
4.
Hannuksela, Miska M., et al.. (2022). Optimizing storage and delivery of Omnidirectional Videos in Viewport-dependent streaming. 11. 177–180. 2 indexed citations
5.
Begen, Ali C., et al.. (2022). Benchmarking the Second Edition of the Omnidirectional Media Format Standard. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 3. 173–176. 2 indexed citations
6.
Begen, Ali C., et al.. (2022). Rate-Adaptive Streaming of 360-Degree Videos with Head-Motion-Aware Viewport Margins. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 2. 274–280. 2 indexed citations
7.
Samek, Wojciech, Karsten Müller, Hamed R. Tavakoli, et al.. (2021). Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3203–3216. 33 indexed citations
8.
Zhang, Honglei, Francesco Cricri, Hamed R. Tavakoli, et al.. (2021). Learned Video Compression with Intra-Guided Enhancement and Implicit Motion Information. Trepo - Institutional Repository of Tampere University. 1870–1874. 2 indexed citations
9.
Zhang, Honglei, Francesco Cricri, Hamed R. Tavakoli, et al.. (2021). Adaptation and Attention for Neural Video Coding. Trepo - Institutional Repository of Tampere University. 240–244. 7 indexed citations
10.
Begen, Ali C., et al.. (2021). Head-Motion-Aware Viewport Margins for Improving User Experience in Immersive Video. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1–5. 6 indexed citations
11.
Aksu, Emre, et al.. (2020). 3D human model creation on a serverless environment. 118–122. 2 indexed citations
12.
Zhang, Honglei, Francesco Cricri, Hamed R. Tavakoli, et al.. (2020). L2C – Learning to Learn to Compress. 1–6. 15 indexed citations
13.
Curcio, Igor D. D., et al.. (2020). FriSBE. 28–34. 7 indexed citations
14.
Zare, Alireza, Çağlar Aytekin, Francesco Cricri, et al.. (2019). Compressing Weight-updates for Image Artifacts Removal Neural Networks. arXiv (Cornell University). 0–0. 1 indexed citations
15.
Aytekin, Çağlar, Francesco Cricri, Antti Hallapuro, et al.. (2019). A Compression Objective and a Cycle Loss for Neural Image Compression. arXiv (Cornell University). 0–0. 2 indexed citations
16.
Aksu, Emre, et al.. (2019). Frame selection to accelerate Depth from Small Motion on smartphones. 113–118. 1 indexed citations
17.
Aytekin, Çağlar, et al.. (2018). Block-optimized Variable Bit Rate Neural Image Compression. Computer Vision and Pattern Recognition. 2551–2554. 3 indexed citations
19.
Cricri, Francesco, et al.. (2018). Saliency Enhanced Robust Visual Tracking. 1–5. 5 indexed citations
20.
Lainema, Jani, Miska M. Hannuksela, Vinod Kumar Malamal Vadakital, & Emre Aksu. (2016). HEVC still image coding and high efficiency image file format. 71–75. 22 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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