Hakan Altınçay

719 total citations
40 papers, 472 citations indexed

About

Hakan Altınçay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hakan Altınçay has authored 40 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Hakan Altınçay's work include Text and Document Classification Technologies (13 papers), Face and Expression Recognition (10 papers) and Neural Networks and Applications (9 papers). Hakan Altınçay is often cited by papers focused on Text and Document Classification Technologies (13 papers), Face and Expression Recognition (10 papers) and Neural Networks and Applications (9 papers). Hakan Altınçay collaborates with scholars based in Cyprus, Türkiye and Norway. Hakan Altınçay's co-authors include Mübeccel Demırekler, Adnan Acan, Önsen Toygar and Tolga Çiloğlu and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Applied Soft Computing.

In The Last Decade

Hakan Altınçay

37 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hakan Altınçay Cyprus	14	348	110	85	65	43	40	472
Alireza Farhangfar Canada	6	276 0.8×	139 1.3×	75 0.9×	66 1.0×	42 1.0×	8	478
Jingnian Chen China	5	364 1.0×	189 1.7×	95 1.1×	28 0.4×	46 1.1×	16	526
Dragos D. Margineantu United States	6	404 1.2×	72 0.7×	136 1.6×	38 0.6×	22 0.5×	12	510
M. Carmen Garrido Spain	9	227 0.7×	62 0.6×	63 0.7×	26 0.4×	45 1.0×	34	402
Takao Mohri Japan	3	379 1.1×	116 1.1×	169 2.0×	54 0.8×	56 1.3×	4	571
Wang Zheng-ou China	9	233 0.7×	101 0.9×	53 0.6×	50 0.8×	95 2.2×	38	364
Janice R. Boughton Australia	4	429 1.2×	135 1.2×	54 0.6×	41 0.6×	66 1.5×	5	574
Jinchao Ji China	12	272 0.8×	105 1.0×	123 1.4×	96 1.5×	18 0.4×	23	439

Countries citing papers authored by Hakan Altınçay

Since Specialization

Citations

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

Fields of papers citing papers by Hakan Altınçay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakan Altınçay

This figure shows the co-authorship network connecting the top 25 collaborators of Hakan Altınçay. A scholar is included among the top collaborators of Hakan Altınçay 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 Hakan Altınçay. Hakan Altınçay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Altınçay, Hakan, et al.. (2021). A novel dissimilarity metric based on feature‐to‐feature scatter frequencies for clustering‐based feature selection in biomedical data. Computational Intelligence. 37(4). 1865–1889. 1 indexed citations

Altınçay, Hakan, et al.. (2020). Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method. Expert Systems with Applications. 158. 113499–113499. 7 indexed citations

Altınçay, Hakan, et al.. (2019). Imbalance learning using heterogeneous ensembles. Expert Systems with Applications. 142. 113005–113005. 39 indexed citations

Altınçay, Hakan, et al.. (2018). Effective use of 2-termsets by discarding redundant member terms in bag-of-words representation. Neural Computing and Applications. 31(9). 5401–5418. 3 indexed citations

Altınçay, Hakan, et al.. (2014). Ternary encoding based feature extraction for binary text classification. Applied Intelligence. 41(1). 310–326. 6 indexed citations

Altınçay, Hakan, et al.. (2012). Improving the precision-recall trade-off in undersampling-based binary text categorization using unanimity rule. Neural Computing and Applications. 22(S1). 83–100. 14 indexed citations

Altınçay, Hakan, et al.. (2011). Explicit Use of Term Occurrence Probabilities for Term Weighting in Text Categorization. Journal of information science and engineering. 27(3). 819–834. 12 indexed citations

Altınçay, Hakan, et al.. (2010). Using the absolute difference of term occurrence probabilities in binary text categorization. Applied Intelligence. 36(1). 148–160. 6 indexed citations

Altınçay, Hakan. (2007). Decision trees using model ensemble-based nodes. Pattern Recognition. 40(12). 3540–3551. 18 indexed citations

10.

Altınçay, Hakan, et al.. (2006). Fusion of MFCC and MPEG-7 Attributes for Speaker Verification. 3. 1–4.

11.

Altınçay, Hakan. (2006). On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence. Applied Intelligence. 25(1). 73–90. 30 indexed citations

12.

Altınçay, Hakan. (2005). On naive Bayesian fusion of dependent classifiers. Pattern Recognition Letters. 26(15). 2463–2473. 19 indexed citations

13.

Altınçay, Hakan. (2005). A dempster-shafer theoretic framework for boosting based ensemble design. Pattern Analysis and Applications. 8(3). 287–302. 8 indexed citations

14.

Altınçay, Hakan. (2004). Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms. Pattern Analysis and Applications. 7(3). 285–295. 2 indexed citations

15.

Acan, Adnan, et al.. (2003). A genetic algorithm with multiple crossover operators for optimal frequency assignment problem. 256–263 Vol.1. 10 indexed citations

16.

Altınçay, Hakan & Mübeccel Demırekler. (2003). Why does output normalization create problems in multiple classifier systems?. 2. 775–778. 16 indexed citations

17.

Altınçay, Hakan & Mübeccel Demırekler. (2003). Speaker identification by combining multiple classifiers using Dempster–Shafer theory of evidence. Speech Communication. 41(4). 531–547. 26 indexed citations

18.

Altınçay, Hakan, et al.. (2002). A novel rank-based classifier combination scheme for speaker identification. OpenMETU (Middle East Technical University). 2. II1209–II1212. 3 indexed citations

19.

Altınçay, Hakan & Mübeccel Demırekler. (2000). An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification. Speech Communication. 30(4). 255–272. 25 indexed citations

20.

Altınçay, Hakan & Mübeccel Demırekler. (1999). On the use of supra model information from multiple classifiers for robust speaker identification. 971–974. 7 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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