Yusuf Yaslan

1.7k total citations
74 papers, 1.1k citations indexed

About

Yusuf Yaslan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yusuf Yaslan has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 20 papers in Electrical and Electronic Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yusuf Yaslan's work include Power System Optimization and Stability (11 papers), Music and Audio Processing (8 papers) and Power Systems Fault Detection (8 papers). Yusuf Yaslan is often cited by papers focused on Power System Optimization and Stability (11 papers), Music and Audio Processing (8 papers) and Power Systems Fault Detection (8 papers). Yusuf Yaslan collaborates with scholars based in Türkiye, Serbia and Finland. Yusuf Yaslan's co-authors include Değer Ayata, Zehra Çataltepe, Mustafa E. Kamaşak, Hakan Gündüz, İstemihan Genç, Sema Oktuğ, Şule Gündüz Öğüdücü, Bilge Günsel, Tuğçe Bilen and Tuba Yilmaz and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Physics in Medicine and Biology.

In The Last Decade

Yusuf Yaslan

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuf Yaslan Türkiye 16 295 252 231 227 215 74 1.1k
Sin-Chun Ng Hong Kong 16 118 0.4× 461 1.8× 108 0.5× 152 0.7× 52 0.2× 96 1.0k
Zairi Ismael Rizman Malaysia 14 172 0.6× 157 0.6× 67 0.3× 105 0.5× 40 0.2× 122 990
Guangyan Huang Australia 21 97 0.3× 443 1.8× 54 0.2× 296 1.3× 109 0.5× 97 1.4k
Dazhi Jiang China 22 84 0.3× 621 2.5× 48 0.2× 192 0.8× 317 1.5× 88 1.4k
Leonardo Trujillo Mexico 21 119 0.4× 621 2.5× 29 0.1× 410 1.8× 89 0.4× 125 1.5k
Silvio Barra Italy 15 63 0.2× 181 0.7× 72 0.3× 409 1.8× 31 0.1× 44 785
Xiaofeng Liu China 13 94 0.3× 206 0.8× 123 0.5× 68 0.3× 15 0.1× 38 718
Masanao Obayashi Japan 9 204 0.7× 349 1.4× 193 0.8× 106 0.5× 15 0.1× 76 769
Min Zhao China 18 369 1.3× 178 0.7× 49 0.2× 189 0.8× 52 0.2× 153 1.2k

Countries citing papers authored by Yusuf Yaslan

Since Specialization
Citations

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

Fields of papers citing papers by Yusuf Yaslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuf Yaslan

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuf Yaslan. A scholar is included among the top collaborators of Yusuf Yaslan 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 Yusuf Yaslan. Yusuf Yaslan 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.
Yaslan, Yusuf, et al.. (2024). Graph-SeTES: A graph based search task extraction using Siamese network. Information Sciences. 665. 120346–120346. 3 indexed citations
2.
Yaslan, Yusuf, et al.. (2024). Adversarial random graph neural network for anomaly detection. Digital Signal Processing. 146. 104374–104374. 1 indexed citations
3.
Yaslan, Yusuf, et al.. (2024). DeGAN - Decomposition-based unified anomaly detection in static networks. Information Sciences. 677. 120886–120886.
4.
Yaslan, Yusuf, et al.. (2024). Search task extraction using k-contour based recurrent deep graph clustering. Engineering Applications of Artificial Intelligence. 139. 109501–109501.
5.
Yaslan, Yusuf, et al.. (2023). A novel integrated framework for real-time prediction of transient instabilities in power systems with their severity levels using deep learning. Sustainable Energy Grids and Networks. 36. 101221–101221. 3 indexed citations
6.
Yaslan, Yusuf, et al.. (2023). A reinforcement learning based dynamic room pricing model for hotel industry. INFOR Information Systems and Operational Research. 62(2). 211–231. 2 indexed citations
7.
Özcan, Alper, et al.. (2023). Topological Similarity and Centrality Driven Hybrid Deep Learning for Temporal Link Prediction. JUCS - Journal of Universal Computer Science. 29(5). 470–490. 3 indexed citations
8.
Yaslan, Yusuf, et al.. (2023). Cross-Market Recommendation with Two-Stage Graph Learning. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–5. 1 indexed citations
9.
Yaslan, Yusuf, et al.. (2021). An ensemble model for wide-area measurement-based transient stability assessment in power systems. Electrical Engineering. 103(6). 2855–2869. 6 indexed citations
10.
Yaslan, Yusuf, et al.. (2021). Demand forecasting model using hotel clustering findings for hospitality industry. Information Processing & Management. 59(1). 102816–102816. 39 indexed citations
11.
Yaslan, Yusuf, et al.. (2021). Waste-to-Energy Framework: An intelligent energy recycling management. Sustainable Computing Informatics and Systems. 30. 100548–100548. 17 indexed citations
12.
Ayata, Değer, Yusuf Yaslan, & Mustafa E. Kamaşak. (2020). Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems. Journal of Medical and Biological Engineering. 40(2). 149–157. 120 indexed citations
13.
Yaslan, Yusuf, et al.. (2019). DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds. Cluster Computing. 23(4). 2565–2578. 8 indexed citations
14.
Ayata, Değer, Yusuf Yaslan, & Mustafa E. Kamaşak. (2018). Emotion Based Music Recommendation System Using Wearable Physiological Sensors. IEEE Transactions on Consumer Electronics. 64(2). 196–203. 177 indexed citations
15.
Yaslan, Yusuf, et al.. (2018). Classifying Malicious Thread Behavior in PaaS Web Services. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 418–425. 1 indexed citations
16.
Yaslan, Yusuf, et al.. (2016). A disagreement based co-active learning method for sleep stage classification. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 48. 1–4. 4 indexed citations
17.
Yaslan, Yusuf & Zehra Çataltepe. (2010). Co-training with relevant random subspaces. Neurocomputing. 73(10-12). 1652–1661. 71 indexed citations
18.
Yaslan, Yusuf & Zehra Çataltepe. (2007). A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis.. 24(10). 144–152. 3 indexed citations
19.
Yaslan, Yusuf, et al.. (2006). Pollen classification using RBF networks.. Computational intelligence. 35(7). 265–270. 1 indexed citations
20.
Yaslan, Yusuf & Zehra Çataltepe. (2006). Music Genre Classification Using Audio Features, Different Classifiers and Feature Selection Methods. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 1 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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