Ayça Deniz

600 total citations · 1 hit paper
15 papers, 436 citations indexed

About

Ayça Deniz is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ayça Deniz has authored 15 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ayça Deniz's work include Metaheuristic Optimization Algorithms Research (8 papers), Machine Learning and ELM (4 papers) and Spam and Phishing Detection (3 papers). Ayça Deniz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Machine Learning and ELM (4 papers) and Spam and Phishing Detection (3 papers). Ayça Deniz collaborates with scholars based in Türkiye, United Kingdom and United States. Ayça Deniz's co-authors include Hakan Ezgi Kızılöz, Tansel Dökeroğlu, Ahmet Coşar, Pelin Angın, Ender Sevinç, Tayfun Küçükyılmaz, Bharat Bhargava and Ganapathy Mani and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Ayça Deniz

15 papers receiving 420 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comprehensive survey on recent metaheuristics for feature selection

2022 216 citations Tansel Dökeroğlu, Ayça Deniz et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayça Deniz Türkiye	8	303	87	78	35	33	15	436
Hakan Ezgi Kızılöz Türkiye	10	329 1.1×	94 1.1×	83 1.1×	40 1.1×	42 1.3×	20	517
M. A. Makhlouf Egypt	8	206 0.7×	75 0.9×	56 0.7×	27 0.8×	26 0.8×	18	372
Yupeng Chen China	9	187 0.6×	96 1.1×	48 0.6×	33 0.9×	31 0.9×	13	331
Mosa E. Hosney Egypt	9	276 0.9×	68 0.8×	130 1.7×	44 1.3×	34 1.0×	12	447
G. Wiselin Jiji India	8	227 0.7×	93 1.1×	84 1.1×	23 0.7×	37 1.1×	42	443
Yanpeng Qu China	13	248 0.8×	109 1.3×	68 0.9×	24 0.7×	32 1.0×	49	388
Ritam Guha India	12	404 1.3×	164 1.9×	87 1.1×	47 1.3×	46 1.4×	24	594
Ezgi Zorarpacı Türkiye	6	276 0.9×	65 0.7×	70 0.9×	30 0.9×	38 1.2×	10	371
Harun Bingöl Türkiye	10	204 0.7×	63 0.7×	68 0.9×	12 0.3×	28 0.8×	24	367

Countries citing papers authored by Ayça Deniz

Since Specialization

Citations

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

Fields of papers citing papers by Ayça Deniz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayça Deniz

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

All Works

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15 of 15 papers shown

1.

Mani, Ganapathy, et al.. (2023). Malware Speaks! Deep Learning Based Assembly Code Processing for Detecting Evasive Cryptojacking. IEEE Transactions on Dependable and Secure Computing. 21(4). 2461–2477. 2 indexed citations

2.

Deniz, Ayça, Hakan Ezgi Kızılöz, Ender Sevinç, & Tansel Dökeroğlu. (2022). Predicting the severity of COVID‐19 patients using a multi‐threaded evolutionary feature selection algorithm. Expert Systems. 39(5). 7 indexed citations

3.

Deniz, Ayça, et al.. (2022). Understanding IMF Decision-Making with Sentiment Analysis. OpenMETU (Middle East Technical University). 1 indexed citations

4.

Dökeroğlu, Tansel, Ayça Deniz, & Hakan Ezgi Kızılöz. (2022). A comprehensive survey on recent metaheuristics for feature selection. Neurocomputing. 494. 269–296. 216 indexed citations breakdown →

5.

Deniz, Ayça, et al.. (2021). Evolutionary Multiobjective Feature Selection for Sentiment Analysis. IEEE Access. 9. 142982–142996. 14 indexed citations

6.

Kızılöz, Hakan Ezgi & Ayça Deniz. (2021). An evolutionary parallel multiobjective feature selection framework. Computers & Industrial Engineering. 159. 107481–107481. 11 indexed citations

7.

Dökeroğlu, Tansel, Ayça Deniz, & Hakan Ezgi Kızılöz. (2021). A robust multiobjective Harris’ Hawks Optimization algorithm for the binary classification problem. Knowledge-Based Systems. 227. 107219–107219. 29 indexed citations

8.

Deniz, Ayça, et al.. (2021). Sentiment and Context-refined Word Embeddings for Sentiment Analysis. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 927–932. 2 indexed citations

9.

Deniz, Ayça & Hakan Ezgi Kızılöz. (2020). Parallel Multiobjective Feature Selection for Binary Classification. 1–5. 1 indexed citations

10.

Küçükyılmaz, Tayfun, Ayça Deniz, & Hakan Ezgi Kızılöz. (2020). Boosting gender identification using author preference. Pattern Recognition Letters. 140. 245–251. 6 indexed citations

11.

Kızılöz, Hakan Ezgi & Ayça Deniz. (2020). Feature Selection with Dynamic Classifier Ensembles. 2038–2043. 4 indexed citations

12.

Deniz, Ayça & Hakan Ezgi Kızılöz. (2019). On initial population generation in feature subset selection. Expert Systems with Applications. 137. 11–21. 33 indexed citations

13.

Kızılöz, Hakan Ezgi, Ayça Deniz, Tansel Dökeroğlu, & Ahmet Coşar. (2018). Novel multiobjective TLBO algorithms for the feature subset selection problem. Neurocomputing. 306. 94–107. 53 indexed citations

14.

Deniz, Ayça, Hakan Ezgi Kızılöz, Tansel Dökeroğlu, & Ahmet Coşar. (2017). Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques. Neurocomputing. 241. 128–146. 45 indexed citations

15.

Deniz, Ayça & Hakan Ezgi Kızılöz. (2017). Effects of various preprocessing techniques to Turkish text categorization using n-gram features. 4. 655–660. 12 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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