Hakan Gündüz

921 total citations
19 papers, 638 citations indexed

About

Hakan Gündüz is a scholar working on Signal Processing, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Hakan Gündüz has authored 19 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 8 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Hakan Gündüz's work include Stock Market Forecasting Methods (8 papers), Time Series Analysis and Forecasting (7 papers) and Network Security and Intrusion Detection (3 papers). Hakan Gündüz is often cited by papers focused on Stock Market Forecasting Methods (8 papers), Time Series Analysis and Forecasting (7 papers) and Network Security and Intrusion Detection (3 papers). Hakan Gündüz collaborates with scholars based in Türkiye, Qatar and Spain. Hakan Gündüz's co-authors include Zehra Çataltepe, Yusuf Yaslan, Cagatay Catal, Alper Özcan and Kerem Küçük and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Hakan Gündüz

18 papers receiving 605 citations

Peers

Countries citing papers authored by Hakan Gündüz

Since Specialization

Citations

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

Fields of papers citing papers by Hakan Gündüz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakan Gündüz

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Scalable Gender Profiling from Turkish Texts Using Deep Embeddings and Meta-Heuristic Feature Selection 2025 ·Journal of theoretical and applied electronic commerce research ·Hakan Gündüz	0
2	Comparative analysis of BERT and FastText representations on crowdfunding campaign success prediction 2024 ·PeerJ Computer Science ·Hakan Gündüz	3
3	Wi-Fi Network Intrusion Detection: Enhanced with Feature Extraction and Machine Learning Algorithms 2024 ·Kocaeli Üniversitesi - AVESİS ·(unknown), Hakan Gündüz, Kerem Küçük	1
4	DERİN TRANSFORMATÖRLERDEN ÇİFT YÖNLÜ KODLAYICI TEMSİLLERİ VE DESTEK VEKTÖR MAKİNELERİ İLE TÜRKÇE FİLM YORUMLARI ÜZERİNE DUYGU ANALİZİ 2023 ·Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi ·Hakan Gündüz	1
5	Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs 2022 ·PeerJ Computer Science ·Hakan Gündüz	7
6	An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination 2021 ·Financial Innovation ·Hakan Gündüz	50
7	Malware Detection Based on Graph Attention Networks for Intelligent Transportation Systems 2021 ·Electronics ·Cagatay Catal, Hakan Gündüz, Alper Özcan	21
8	An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification 2021 ·Biomedical Signal Processing and Control ·Hakan Gündüz	83
9	WEKA Veri Madenciliği Yazılımının Sürümleri Arasındaki Kalite Değişimlerinin QMOOD ile İncelenmesi 2020 ·Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi ·Hakan Gündüz	2
10	Stock Market Prediction with Stacked Autoencoder Based Feature Reduction 2020 ·Hakan Gündüz	3
11	Parkinson Hastalığı Tespitinde Farklı Boyutsallık İndirgeme Yöntemlerinin Karşılaştırılması 2019 ·European Journal of Science and Technology ·Hakan Gündüz	3
12	Deep Learning-Based Parkinson’s Disease Classification Using Vocal Feature Sets 2019 ·IEEE Access ·Hakan Gündüz	233
13	Stock market prediction with deep learning using financial news 2018 ·Kocaeli Üniversitesi - AVESİS ·Hakan Gündüz, Yusuf Yaslan, Zehra Çataltepe	9
14	Stock daily return prediction using expanded features and feature selection 2017 ·TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ·Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan	21
15	Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations 2017 ·Knowledge-Based Systems ·Hakan Gündüz, Yusuf Yaslan, Zehra Çataltepe	132
16	Stock market direction prediction using deep neural networks 2017 ·Kocaeli Üniversitesi - AVESİS ·Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan	26
17	Big data feature selection and projection for gender prediction based on user web behaviour 2015 ·Istanbul Technical University Academic Open Archive (Istanbul Technical University) ·(unknown), Hakan Gündüz, Zehra Çataltepe, (unknown)	4
18	Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection 2015 ·Expert Systems with Applications ·Hakan Gündüz, Zehra Çataltepe	37
19	PREDICTION OF ISTANBUL STOCK EXCHANGE (ISE) DIRECTION BASED ON NEWS ARTICLES 2013 ·Hakan Gündüz, Zehra Çataltepe	2

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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