Vedide Rezan Uslu

1.1k total citations
20 papers, 935 citations indexed

About

Vedide Rezan Uslu is a scholar working on Management Science and Operations Research, Economics and Econometrics and Signal Processing. According to data from OpenAlex, Vedide Rezan Uslu has authored 20 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 10 papers in Economics and Econometrics and 9 papers in Signal Processing. Recurrent topics in Vedide Rezan Uslu's work include Stock Market Forecasting Methods (16 papers), Time Series Analysis and Forecasting (9 papers) and Complex Systems and Time Series Analysis (9 papers). Vedide Rezan Uslu is often cited by papers focused on Stock Market Forecasting Methods (16 papers), Time Series Analysis and Forecasting (9 papers) and Complex Systems and Time Series Analysis (9 papers). Vedide Rezan Uslu collaborates with scholars based in Türkiye. Vedide Rezan Uslu's co-authors include Erol Eğrioğlu, Ufuk Yolcu, Çağdaş Hakan Aladağ, Murat Alper Başaran, Eren Baş and Fulya Aydın Temel and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Swarm and Evolutionary Computation.

In The Last Decade

Vedide Rezan Uslu

18 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vedide Rezan Uslu Türkiye 13 779 436 358 265 142 20 935
Mehdi Khashei Iran 11 448 0.6× 154 0.4× 78 0.2× 177 0.7× 320 2.3× 19 755
S. M. Aqil Burney Pakistan 10 220 0.3× 112 0.3× 107 0.3× 145 0.5× 53 0.4× 46 425
Saman Haratizadeh Iran 9 358 0.5× 128 0.3× 72 0.2× 137 0.5× 196 1.4× 18 574
Slawek Smyl United States 8 340 0.4× 61 0.1× 175 0.5× 127 0.5× 300 2.1× 10 675
Laurent Callot Denmark 8 187 0.2× 115 0.3× 109 0.3× 63 0.2× 78 0.5× 18 450
Ratnadip Adhikari India 11 333 0.4× 79 0.2× 68 0.2× 161 0.6× 273 1.9× 14 592
Konstantinos Benidis Hong Kong 8 188 0.2× 37 0.1× 143 0.4× 119 0.4× 90 0.6× 12 448
Sibarama Panigrahi India 14 286 0.4× 88 0.2× 95 0.3× 153 0.6× 232 1.6× 42 658
Dirk-Emma Baestaens Belgium 5 201 0.3× 86 0.2× 47 0.1× 262 1.0× 98 0.7× 7 581
Manrui Jiang China 9 255 0.3× 125 0.3× 44 0.1× 104 0.4× 162 1.1× 11 428

Countries citing papers authored by Vedide Rezan Uslu

Since Specialization
Citations

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

Fields of papers citing papers by Vedide Rezan Uslu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vedide Rezan Uslu. 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 Vedide Rezan Uslu. The network helps show where Vedide Rezan Uslu may publish in the future.

Co-authorship network of co-authors of Vedide Rezan Uslu

This figure shows the co-authorship network connecting the top 25 collaborators of Vedide Rezan Uslu. A scholar is included among the top collaborators of Vedide Rezan Uslu 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 Vedide Rezan Uslu. Vedide Rezan Uslu 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.
Uslu, Vedide Rezan, et al.. (2019). The Portfolio Optimization Based on Sharp Performance Ratio. DergiPark (Istanbul University). 2 indexed citations
2.
Temel, Fulya Aydın, et al.. (2018). Full scale subsurface flow constructed wetlands for domestic wastewater treatment: 3 years' experience. Environmental Progress & Sustainable Energy. 37(4). 1348–1360. 17 indexed citations
3.
Baş, Eren, Erol Eğrioğlu, & Vedide Rezan Uslu. (2017). Shrinkage Parameters for Each Explanatory Variable Found Via Particle Swarm Optimization in Ridge Regression. 2(1). 12–20.
4.
Baş, Eren, Vedide Rezan Uslu, & Erol Eğrioğlu. (2016). Robust learning algorithm for multiplicative neuron model artificial neural networks. Expert Systems with Applications. 56. 80–88. 44 indexed citations
5.
Uslu, Vedide Rezan, Erol Eğrioğlu, & Eren Baş. (2014). Finding Optimal Value for the Shrinkage Parameter in Ridge Regression via Particle Swarm Optimization. 4(4). 142–147. 9 indexed citations
6.
Baş, Eren, Vedide Rezan Uslu, Ufuk Yolcu, & Erol Eğrioğlu. (2014). A modified genetic algorithm for forecasting fuzzy time series. Applied Intelligence. 41(2). 453–463. 48 indexed citations
7.
Aladağ, Çağdaş Hakan, et al.. (2014). A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. Journal of Intelligent & Fuzzy Systems. 26(1). 295–302. 19 indexed citations
8.
Baş, Eren, Vedide Rezan Uslu, Ufuk Yolcu, & Erol Eğrioğlu. (2013). A Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm Based on the Number of Recurrences of Fuzzy Relations. 3(2). 75–82. 2 indexed citations
9.
Uslu, Vedide Rezan, Eren Baş, Ufuk Yolcu, & Erol Eğrioğlu. (2013). A NEW FUZZY TIME SERIES ANALYSIS APPROACH BY USING DIFFERENTIAL EVOLUTION ALGORITHM AND CHRONOLOGICALLY-DETERMINED WEIGHTS. RePEc: Research Papers in Economics. 2(1). 18–30. 4 indexed citations
10.
Uslu, Vedide Rezan, Eren Baş, Ufuk Yolcu, & Erol Eğrioğlu. (2013). A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations. Swarm and Evolutionary Computation. 15. 19–26. 37 indexed citations
11.
Uslu, Vedide Rezan, Ufuk Yolcu, Erol Eğrioğlu, Çağdaş Hakan Aladağ, & Murat Alper Başaran. (2012). Yüksek Dereceli Bulanık Zaman Serisi Yaklaşımı ile Türkiye Enflasyon Öngörüsü. DergiPark (Istanbul University). 27(1). 85–95.
12.
Eğrioğlu, Erol, Çağdaş Hakan Aladağ, Murat Alper Başaran, Ufuk Yolcu, & Vedide Rezan Uslu. (2011). A new approach based on the optimization of the length of intervals in fuzzy time series. Journal of Intelligent & Fuzzy Systems. 22(1). 15–19. 76 indexed citations
13.
Yolcu, Ufuk, Çağdaş Hakan Aladağ, Erol Eğrioğlu, & Vedide Rezan Uslu. (2011). Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market. Journal of Statistical Computation and Simulation. 83(4). 599–612. 47 indexed citations
14.
Eğrioğlu, Erol, et al.. (2011). Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering. Expert Systems with Applications. 38(8). 10355–10357. 75 indexed citations
15.
Eğrioğlu, Erol, et al.. (2010). Türkiye de Enflasyonun İleri ve Geri Beslemeli Yapay Sinir Ağlarının Melez Yaklaşımı ile Öngörüsü. Doğuş Üniversitesi Dergisi. 1(11). 42–55. 5 indexed citations
16.
Eğrioğlu, Erol, Çağdaş Hakan Aladağ, Ufuk Yolcu, Vedide Rezan Uslu, & Murat Alper Başaran. (2009). A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Systems with Applications. 36(7). 10589–10594. 108 indexed citations
17.
Eğrioğlu, Erol, Çağdaş Hakan Aladağ, Ufuk Yolcu, Vedide Rezan Uslu, & Murat Alper Başaran. (2009). Finding an optimal interval length in high order fuzzy time series. Expert Systems with Applications. 37(7). 5052–5055. 98 indexed citations
18.
Eğrioğlu, Erol, Çağdaş Hakan Aladağ, Ufuk Yolcu, Murat Alper Başaran, & Vedide Rezan Uslu. (2008). A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. Expert Systems with Applications. 36(4). 7424–7434. 79 indexed citations
19.
Yolcu, Ufuk, Erol Eğrioğlu, Vedide Rezan Uslu, Murat Alper Başaran, & Çağdaş Hakan Aladağ. (2008). A new approach for determining the length of intervals for fuzzy time series. Applied Soft Computing. 9(2). 647–651. 114 indexed citations
20.
Aladağ, Çağdaş Hakan, Murat Alper Başaran, Erol Eğrioğlu, Ufuk Yolcu, & Vedide Rezan Uslu. (2008). Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Systems with Applications. 36(3). 4228–4231. 151 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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