Bülent Haznedar

470 total citations
27 papers, 340 citations indexed

About

Bülent Haznedar is a scholar working on Artificial Intelligence, Environmental Engineering and Molecular Biology. According to data from OpenAlex, Bülent Haznedar has authored 27 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Environmental Engineering and 6 papers in Molecular Biology. Recurrent topics in Bülent Haznedar's work include Hydrological Forecasting Using AI (6 papers), Neural Networks and Applications (6 papers) and Gene expression and cancer classification (6 papers). Bülent Haznedar is often cited by papers focused on Hydrological Forecasting Using AI (6 papers), Neural Networks and Applications (6 papers) and Gene expression and cancer classification (6 papers). Bülent Haznedar collaborates with scholars based in Türkiye, North Korea and South Sudan. Bülent Haznedar's co-authors include Adem Kalınlı, Hüseyin Çağan Kılınç, Yusuf Arayıcı, Adem Yurtsever, Okan Mert Katipoğlu, Numan Baydilli, Ahmet Öztürk, Seyfettin Ilgan, Derya Arslan and Osman Eroğul and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

Bülent Haznedar

27 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bülent Haznedar Türkiye 9 129 96 90 65 56 27 340
S. T. Suganthi India 10 139 1.1× 71 0.7× 100 1.1× 88 1.4× 133 2.4× 31 483
Alessandro Aliberti Italy 11 119 0.9× 52 0.5× 202 2.2× 67 1.0× 210 3.8× 28 545
Yuqi Yang China 9 79 0.6× 31 0.3× 85 0.9× 32 0.5× 239 4.3× 40 503
Wenqiang Liu China 11 60 0.5× 109 1.1× 80 0.9× 33 0.5× 76 1.4× 26 444
Yachun Mao China 14 72 0.6× 17 0.2× 221 2.5× 20 0.3× 22 0.4× 51 522
Mathieu Lepot Netherlands 7 100 0.8× 52 0.5× 31 0.3× 40 0.6× 29 0.5× 7 317
Yusuf Essam Malaysia 7 184 1.4× 147 1.5× 94 1.0× 76 1.2× 72 1.3× 10 382
Taofeek Akinosho United Kingdom 4 135 1.0× 20 0.2× 56 0.6× 54 0.8× 62 1.1× 6 514
Lea Tien Tay Malaysia 13 56 0.4× 27 0.3× 55 0.6× 177 2.7× 25 0.4× 42 471

Countries citing papers authored by Bülent Haznedar

Since Specialization
Citations

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

Fields of papers citing papers by Bülent Haznedar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bülent Haznedar

This figure shows the co-authorship network connecting the top 25 collaborators of Bülent Haznedar. A scholar is included among the top collaborators of Bülent Haznedar 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 Bülent Haznedar. Bülent Haznedar 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.
Kılınç, Hüseyin Çağan, et al.. (2024). A comparative study of daily streamflow forecasting using firefly, artificial bee colony, and genetic algorithm-based artificial neural network. Acta Geophysica. 72(6). 4575–4595. 5 indexed citations
2.
Kılınç, Hüseyin Çağan, et al.. (2024). An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting. Acta Geophysica. 72(5). 3661–3681. 12 indexed citations
3.
Haznedar, Bülent, et al.. (2023). Implementing PointNet for point cloud segmentation in the heritage context. Heritage Science. 11(1). 38 indexed citations
4.
Haznedar, Bülent, et al.. (2023). Analysis of transportable off-grid solar power generation for rural electricity supply: an application study of Sanliurfa, Turkey. Pamukkale University Journal of Engineering Sciences. 29(5). 458–467. 1 indexed citations
5.
Haznedar, Bülent, et al.. (2023). Comparative analysis of ANFIS models in Prediction of Streamflow: the case of Seyhan Basin. International Journal of Applied Mathematics Electronics and Computers. 11(2). 72–78. 2 indexed citations
6.
Haznedar, Bülent, et al.. (2023). Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin. Natural Hazards. 117(1). 681–701. 28 indexed citations
7.
Haznedar, Bülent, et al.. (2023). The Effect of Adaptive Neuro-fuzzy Inference System (ANFIS) on Determining the Leadership Perceptions of Construction Employees. Iranian Journal of Science and Technology Transactions of Civil Engineering. 47(6). 4145–4157. 4 indexed citations
8.
Haznedar, Bülent, et al.. (2023). Investigation and Determination of Optimal Tilt Angles and Solar Radiation Gains for Fixed and Tracked South-Facing Solar Photovoltaic Surfaces in Provinces of Türkiye. Environmental Modeling & Assessment. 29(1). 101–123. 1 indexed citations
9.
10.
Haznedar, Bülent, et al.. (2022). A Comparative Study on Classification Methods for Renal Cell and Lung Cancers Using RNA-Seq Data. IEEE Access. 10. 105412–105420. 2 indexed citations
11.
Haznedar, Bülent & Hüseyin Çağan Kılınç. (2022). A Hybrid ANFIS-GA Approach for Estimation of Hydrological Time Series. Water Resources Management. 36(12). 4819–4842. 21 indexed citations
12.
Haznedar, Bülent, et al.. (2021). Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data. Medical & Biological Engineering & Computing. 59(3). 497–509. 29 indexed citations
13.
Haznedar, Bülent, et al.. (2020). A comparative study of different classification algorithms on RNA-Seq cancer data. 24–35. 4 indexed citations
14.
Haznedar, Bülent, et al.. (2019). Seminal Quality Prediction Using Deep Learning Based on Artificial Intelligence. Uluslararası mühendislik araştırma ve geliştirme dergisi. 350–357. 1 indexed citations
15.
Haznedar, Bülent, et al.. (2018). Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males.. Hasan Kalyoncu University Institutional Repository (Hasan Kalyoncu University). 15(3). 122–125. 13 indexed citations
16.
Haznedar, Bülent & Adem Kalınlı. (2018). Training ANFIS structure using simulated annealing algorithm for dynamic systems identification. Neurocomputing. 302. 66–74. 80 indexed citations
17.
Haznedar, Bülent, et al.. (2018). Investigation and Implementation Ultra-Low Power PIC-Based Sensor Node Network with Renewable Energy Source and Decision-Making Unit. Wireless Sensor Network. 10(2). 41–58. 3 indexed citations
18.
Haznedar, Bülent, et al.. (2017). Karaciğer mikrodizi kanser verisinin sınıflandırılması için genetik algoritma kullanarak ANFIS’in eğitilmesi. DSpace-HKÜ (Hasan Kalyoncu University). 21(1). 54–62. 1 indexed citations
19.
Haznedar, Bülent. (2017). Microarray Gene Expression Cancer Data. Data Archiving and Networked Services (DANS). 1. 4 indexed citations
20.
Haznedar, Bülent. (2016). Training ANFIS Using Genetic Algorithm for Dynamic Systems Identification. International Journal of Intelligent Systems and Applications in Engineering. 4(Special Issue-1). 44–47. 26 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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