Hasan Dağ

1.0k total citations · 2 hit papers
59 papers, 566 citations indexed

About

Hasan Dağ is a scholar working on Electrical and Electronic Engineering, Information Systems and Artificial Intelligence. According to data from OpenAlex, Hasan Dağ has authored 59 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 15 papers in Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Hasan Dağ's work include Power System Optimization and Stability (14 papers), Optimal Power Flow Distribution (11 papers) and Matrix Theory and Algorithms (9 papers). Hasan Dağ is often cited by papers focused on Power System Optimization and Stability (14 papers), Optimal Power Flow Distribution (11 papers) and Matrix Theory and Algorithms (9 papers). Hasan Dağ collaborates with scholars based in Türkiye, United States and Germany. Hasan Dağ's co-authors include Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, Oğuzhan Ceylan, Aydoḡan Özdemir, A. Semlyen, F.L. Alvarado, M.A. Pai, Gürkan Soykan and F.L. Alvarado and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Hasan Dağ

49 papers receiving 512 citations

Hit Papers

Deepfake detection using deep learning methods: A systema... 2023 2026 2024 2025 2023 2024 25 50 75 100
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.

  1. Deepfake detection using deep learning methods: A systematic and comprehensive review
    2023 112 citations Arash Heidari, Nima Jafari Navimipour et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →
  2. A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models
    2024 67 citations Arash Heidari, Nima Jafari Navimipour et al. Cognitive Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hasan Dağ Türkiye 12 182 164 111 102 101 59 566
Wangdong Yang China 12 209 1.1× 86 0.5× 236 2.1× 145 1.4× 84 0.8× 52 670
Mohamad Afendee Mohamed Malaysia 17 145 0.8× 117 0.7× 248 2.2× 195 1.9× 114 1.1× 97 760
Jianjun Zhang China 12 149 0.8× 68 0.4× 127 1.1× 133 1.3× 69 0.7× 60 526
Bilian Chen China 11 167 0.9× 48 0.3× 50 0.5× 78 0.8× 97 1.0× 43 508
Alain Bretto France 12 182 1.0× 95 0.6× 108 1.0× 192 1.9× 59 0.6× 47 678
Konstantinos M. Giannoutakis Greece 13 109 0.6× 68 0.4× 348 3.1× 61 0.6× 232 2.3× 56 563
Preyas Popat United States 3 292 1.6× 43 0.3× 68 0.6× 158 1.5× 52 0.5× 5 535
Jyh‐Charn Liu United States 13 135 0.7× 46 0.3× 191 1.7× 338 3.3× 62 0.6× 56 745
Grzegorz Świrszcz United States 11 239 1.3× 56 0.3× 55 0.5× 77 0.8× 33 0.3× 32 625
Qi Lei China 12 266 1.5× 61 0.4× 124 1.1× 96 0.9× 23 0.2× 35 656

Countries citing papers authored by Hasan Dağ

Since Specialization
Citations

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

Fields of papers citing papers by Hasan Dağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hasan Dağ

This figure shows the co-authorship network connecting the top 25 collaborators of Hasan Dağ. A scholar is included among the top collaborators of Hasan Dağ 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 Hasan Dağ. Hasan Dağ 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.
Dağ, Hasan, et al.. (2024). Algorithm for Key Transparency with Transparent Logs. Open Research Europe. 4. 163–163. 2 indexed citations
2.
3.
Heidari, Arash, et al.. (2024). A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models. Cognitive Computation. 16(3). 1073–1091. 67 indexed citations breakdown →
4.
5.
Dağ, Hasan, et al.. (2024). Transfer Learning for Phishing Detection: Screenshot-Based Website Classification. 1–6. 1 indexed citations
6.
Heidari, Arash, Nima Jafari Navimipour, Hasan Dağ, & Mehmet Ünal. (2023). Deepfake detection using deep learning methods: A systematic and comprehensive review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 14(2). 112 indexed citations breakdown →
7.
Dağ, Hasan, et al.. (2023). Garbage in, Garbage Out: A Case Study on Defective Product Prediction in Manufacturing. 1. 1–6. 1 indexed citations
8.
Dağ, Hasan, et al.. (2023). Network intrusion detection system by learning jointly from tabular and text‐based features. Expert Systems. 41(4). 9 indexed citations
9.
Dağ, Hasan, et al.. (2020). Website Category Classification Using Fine-tuned BERT Language Model. 167. 333–336. 5 indexed citations
10.
Dağ, Hasan, et al.. (2018). Konutların Günlük Elektrik Güç Tüketimi Tahmini İçin Uygun Model Seçimi. DergiPark (Istanbul University). 30(3). 15–21.
11.
Dağ, Hasan, et al.. (2018). Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods. 494–497. 36 indexed citations
12.
Dağ, Hasan, et al.. (2016). Improving item-based recommendation accuracy with user's preferences on Apache Mahout. 1742–1749. 7 indexed citations
13.
Ceylan, Oğuzhan, Aydoḡan Özdemir, & Hasan Dağ. (2015). Double branch outage modeling and simulation: Bounded network approach. International Journal of Electrical Power & Energy Systems. 73. 369–376. 2 indexed citations
14.
Ceylan, Oğuzhan, Aydoḡan Özdemir, & Hasan Dağ. (2010). Gravitational search algorithm for post-outage bus voltage magnitude calculations. International Universities Power Engineering Conference. 1–6. 16 indexed citations
15.
Dağ, Hasan, et al.. (2009). HeteroSim: heterogeneous simulation framework. Spring Simulation Multiconference. 93.
16.
Ceylan, Oğuzhan, Aydoḡan Özdemir, & Hasan Dağ. (2009). Application of Differential Evolution Method to Branch Outage Problem.. 185–189. 2 indexed citations
17.
Tunç, Birkan & Hasan Dağ. (2006). Generating classification association rules with modified Apriori algorithm. International Conference on Artificial Intelligence. 384–387. 2 indexed citations
18.
Dağ, Hasan, et al.. (2004). A parallel implementation of chebyshev preconditioned conjugate gradient method. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–8. 3 indexed citations
19.
Pai, M.A. & Hasan Dağ. (2002). Iterative solver techniques in large scale power system computation. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 4. 3861–3866. 21 indexed citations
20.
Bağrıyanık, Mustafa & Hasan Dağ. (2001). Determination of location of series compensation devices using fuzzy decision making. European Transactions on Electrical Power. 11(4). 241–245. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wangdong Yang Breakdown of academic impact, for papers by Mohamad Afendee Mohamed Breakdown of academic impact, for papers by Jianjun Zhang Breakdown of academic impact, for papers by Bilian Chen Breakdown of academic impact, for papers by Alain Bretto Breakdown of academic impact, for papers by Konstantinos M. Giannoutakis Breakdown of academic impact, for papers by Preyas Popat Breakdown of academic impact, for papers by Jyh‐Charn Liu Breakdown of academic impact, for papers by Grzegorz Świrszcz Breakdown of academic impact, for papers by Qi Lei
Rankless by CCL
2026