Vedide Rezan Uslu
-
- Stock Market Forecasting Methods 16
- Forecasting Techniques and Applications 8
- Grey System Theory Applications 1
- Signal Processing top 2%
- Time Series Analysis and Forecasting 9
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis 9
- Artificial Intelligence top 5%
- Neural Networks and Applications 2
- Fuzzy Logic and Control Systems 2
- Statistics and Probability top 10%
- Advanced Statistical Methods and Models 2
- Journals
- Expert Systems with Applications (6 papers)Applied Soft Computing (1 paper)Swarm and Evolutionary Computation (1 paper)
- Partner nations
- Türkiye
In The Last Decade
Vedide Rezan Uslu
18 papers receiving 861 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 779
- Signal Processing 358
- Economics and Econometrics 436
- Artificial Intelligence 265
- Statistics and Probability 43
Countries citing papers authored by Vedide Rezan Uslu
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
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
The 6 scholars most cited alongside Vedide Rezan Uslu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Portfolio Optimization Based on Sharp Performance Ratio | 2019 | 2 |
| 2 | 2018 | 17 | |
| 3 | 2017 | 0 | |
| 4 | 2016 | 44 | |
| 5 | Finding Optimal Value for the Shrinkage Parameter in Ridge Regression via Particle Swarm Optimization | 2014 | 9 |
| 6 | 2014 | 48 | |
| 7 | 2014 | 19 | |
| 8 | A NEW FUZZY TIME SERIES ANALYSIS APPROACH BY USING DIFFERENTIAL EVOLUTION ALGORITHM AND CHRONOLOGICALLY-DETERMINED WEIGHTS | 2013 | 4 |
| 9 | A Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm Based on the Number of Recurrences of Fuzzy Relations | 2013 | 2 |
| 10 | 2013 | 37 | |
| 11 | Yüksek Dereceli Bulanık Zaman Serisi Yaklaşımı ile Türkiye Enflasyon Öngörüsü | 2012 | 0 |
| 12 | 2011 | 76 | |
| 13 | 2011 | 75 | |
| 14 | 2011 | 47 | |
| 15 | 2010 | 5 | |
| 16 | 2009 | 108 | |
| 17 | 2009 | 98 | |
| 18 | 2008 | 79 | |
| 19 | 2008 | 114 | |
| 20 | 2008 | 151 |
About Vedide Rezan Uslu
Vedide Rezan Uslu is a scholar working on Management Science and Operations Research, Signal Processing and Economics and Econometrics, having authored 20 papers that have together received 935 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (16 papers), Time Series Analysis and Forecasting (9 papers), Complex Systems and Time Series Analysis (9 papers), Forecasting Techniques and Applications (8 papers), Neural Networks and Applications (2 papers), Advanced Statistical Methods and Models (2 papers), Fuzzy Logic and Control Systems (2 papers) and Grey System Theory Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (779 citations), Signal Processing (358 citations) and Economics and Econometrics (436 citations). Vedide Rezan Uslu has collaborated with scholars based in Türkiye. Frequent co-authors include Erol Eğrioğlu, Ufuk Yolcu, Çağdaş Hakan Aladağ, Murat Alper Başaran, Eren Baş and Fulya Aydın Temel. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Swarm and Evolutionary Computation.
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.