M. Alper Tunga

507 total citations
30 papers, 386 citations indexed

About

M. Alper Tunga is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Alper Tunga has authored 30 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Alper Tunga's work include Probabilistic and Robust Engineering Design (12 papers), Neural Networks and Applications (5 papers) and Image and Signal Denoising Methods (4 papers). M. Alper Tunga is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Neural Networks and Applications (5 papers) and Image and Signal Denoising Methods (4 papers). M. Alper Tunga collaborates with scholars based in Türkiye, Serbia and South Korea. M. Alper Tunga's co-authors include Metin Demіralp, Serap Aydın, Adem Karahoca, Sınan Yetkın, Ch. Tsitouras, Theodore E. Simos, Serkan Ayvaz, George Psihoyios and Zacharias Anastassi and has published in prestigious journals such as Expert Systems with Applications, International Journal of Remote Sensing and Applied Soft Computing.

In The Last Decade

M. Alper Tunga

30 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Alper Tunga Türkiye 11 115 72 67 64 63 30 386
Kai‐Sheng Song United States 12 70 0.6× 65 0.9× 20 0.3× 77 1.2× 8 0.1× 28 510
István Dénes Germany 6 29 0.3× 148 2.1× 36 0.5× 99 1.5× 20 0.3× 12 454
Mostafa Nouri-Baygi Iran 9 37 0.3× 20 0.3× 32 0.5× 13 0.2× 17 0.3× 23 343
Hà Quang Minh Italy 11 19 0.2× 134 1.9× 30 0.4× 169 2.6× 16 0.3× 32 462
J.A. Pardo Spain 9 35 0.3× 148 2.1× 11 0.2× 46 0.7× 27 0.4× 48 466
Qun Liu China 12 26 0.2× 139 1.9× 24 0.4× 45 0.7× 48 0.8× 68 562
Fuyuan Xiao China 4 34 0.3× 277 3.8× 5 0.1× 32 0.5× 122 1.9× 6 453
Béla A. Frigyik United States 7 8 0.1× 114 1.6× 28 0.4× 47 0.7× 23 0.4× 17 356
Rui Tuo United States 13 215 1.9× 137 1.9× 4 0.1× 13 0.2× 246 3.9× 33 519
Linzi Yin China 11 25 0.2× 54 0.8× 24 0.4× 73 1.1× 34 0.5× 23 356

Countries citing papers authored by M. Alper Tunga

Since Specialization
Citations

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

Fields of papers citing papers by M. Alper Tunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Alper Tunga. 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 M. Alper Tunga. The network helps show where M. Alper Tunga may publish in the future.

Co-authorship network of co-authors of M. Alper Tunga

This figure shows the co-authorship network connecting the top 25 collaborators of M. Alper Tunga. A scholar is included among the top collaborators of M. Alper Tunga 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 M. Alper Tunga. M. Alper Tunga 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.
Tunga, M. Alper, et al.. (2025). Full fractional total variation method for eliminating salt and pepper noise. Signal Image and Video Processing. 19(5). 1 indexed citations
2.
Tunga, M. Alper, et al.. (2024). A novel image denoising technique with Caputo type space–time fractional operators. Nonlinear Dynamics. 112(21). 19487–19513. 2 indexed citations
3.
Tunga, M. Alper, et al.. (2023). A novel multistage CAD system for breast cancer diagnosis. Signal Image and Video Processing. 17(5). 2359–2368. 4 indexed citations
4.
Tunga, M. Alper, et al.. (2022). An efficient feature extraction approach for hyperspectral images using Wavelet High Dimensional Model Representation. International Journal of Remote Sensing. 43(19-24). 6899–6920. 7 indexed citations
5.
Tunga, M. Alper, et al.. (2019). Understanding the Purchase Behaviour of Turkish Consumers in B2C E-Commerce. International Journal of Intelligent Systems and Applications in Engineering. 7(1). 52–59. 3 indexed citations
6.
Tunga, M. Alper, et al.. (2017). An interpolation-based texture and pattern preserving algorithm for inpainting color images. Expert Systems with Applications. 91. 223–234. 14 indexed citations
7.
8.
Tunga, M. Alper, et al.. (2016). Interpolation-based image inpainting in color images using high dimensional model representation. 5. 2425–2429. 6 indexed citations
9.
Aydın, Serap, M. Alper Tunga, & Sınan Yetkın. (2015). Mutual Information Analysis of Sleep EEG in Detecting Psycho-Physiological Insomnia. Journal of Medical Systems. 39(5). 43–43. 26 indexed citations
10.
Tunga, M. Alper. (2014). A new approach for multivariate data modelling in orthogonal geometry. International Journal of Computer Mathematics. 92(9). 2011–2021. 10 indexed citations
11.
Tunga, M. Alper & Adem Karahoca. (2014). Detecting GSM churners by using Euclidean Indexing HDMR. Applied Soft Computing. 27. 38–46. 3 indexed citations
12.
Tunga, M. Alper & Metin Demіralp. (2013). A novel method for multivariate data modelling: Piecewise Generalized EMPR. Journal of Mathematical Chemistry. 51(10). 2654–2667. 15 indexed citations
13.
Tunga, M. Alper & Metin Demіralp. (2012). Bound Analysis Through HDMR for Multivariate Data Modelling - CMMSE. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 12(3). 265–276. 1 indexed citations
14.
Karahoca, Adem & M. Alper Tunga. (2012). Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR. Expert Systems with Applications. 39(8). 7207–7215. 7 indexed citations
15.
Tunga, M. Alper. (2011). A Matrix Based Indexing HDMR method for multivariate data modelling. Journal of Mathematical Chemistry. 49(5). 1092–1114. 2 indexed citations
16.
Tunga, M. Alper, Metin Demіralp, Theodore E. Simos, et al.. (2011). Generalized Enhanced Multivariance Product Representation for Data Partitioning: Constancy Level. AIP conference proceedings. 1152–1155. 6 indexed citations
17.
Tunga, M. Alper & Metin Demіralp. (2009). A reverse technique for lumping high dimensional model representation method. WSEAS Transactions on Mathematics archive. 8(5). 101–106. 2 indexed citations
18.
Tunga, M. Alper & Metin Demіralp. (2008). Introductory steps for an indexing based HDMR algorithm: lumping HDMR. Okajimas Folia Anatomica Japonica. 38. 129–135. 4 indexed citations
19.
Tunga, M. Alper & Metin Demіralp. (2005). Hybrid high dimensional model representation (HHDMR) on the partitioned data. Journal of Computational and Applied Mathematics. 185(1). 107–132. 36 indexed citations
20.
Tunga, M. Alper & Metin Demіralp. (2004). A factorized high dimensional model representation on the nodes of a finite hyperprismatic regular grid. Applied Mathematics and Computation. 164(3). 865–883. 59 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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