Ekin Ekıncı

582 total citations
47 papers, 365 citations indexed

About

Ekin Ekıncı is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ekin Ekıncı has authored 47 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ekin Ekıncı's work include Sentiment Analysis and Opinion Mining (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (7 papers). Ekin Ekıncı is often cited by papers focused on Sentiment Analysis and Opinion Mining (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (7 papers). Ekin Ekıncı collaborates with scholars based in Türkiye, Spain and Central African Republic. Ekin Ekıncı's co-authors include Sevinç İlhan Omurca, Zeynep Garip, Bilge Özbay, Hidayet Takçı, İsmail Özbay, Süleyman Eken, Muhammad Shiraz, Nurşen Aydın, Sedat Sert and Aşkın Özocak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Ecological Modelling.

In The Last Decade

Ekin Ekıncı

45 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekin Ekıncı Türkiye 10 188 49 44 38 29 47 365
Surendrabikram Thapa United States 13 202 1.1× 72 1.5× 42 1.0× 38 1.0× 30 1.0× 49 444
Zulfikar Alom Bangladesh 7 155 0.8× 124 2.5× 46 1.0× 48 1.3× 38 1.3× 13 406
Imrus Salehin Bangladesh 10 92 0.5× 33 0.7× 27 0.6× 46 1.2× 18 0.6× 24 359
Purvi Prajapati India 7 152 0.8× 85 1.7× 18 0.4× 32 0.8× 19 0.7× 13 372
V. Radha India 9 127 0.7× 79 1.6× 38 0.9× 98 2.6× 16 0.6× 57 371
Manjaiah D. Huchaiah India 6 128 0.7× 84 1.7× 13 0.3× 59 1.6× 15 0.5× 10 390
Abdülkadir Karacı Türkiye 9 78 0.4× 35 0.7× 46 1.0× 34 0.9× 16 0.6× 37 348
Amani K. Samha Saudi Arabia 6 116 0.6× 38 0.8× 40 0.9× 40 1.1× 10 0.3× 14 323
Intan Nurma Yulita Indonesia 12 104 0.6× 73 1.5× 36 0.8× 52 1.4× 21 0.7× 76 408
Mahmoud Othman Egypt 11 136 0.7× 56 1.1× 37 0.8× 49 1.3× 12 0.4× 26 297

Countries citing papers authored by Ekin Ekıncı

Since Specialization
Citations

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

Fields of papers citing papers by Ekin Ekıncı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekin Ekıncı

This figure shows the co-authorship network connecting the top 25 collaborators of Ekin Ekıncı. A scholar is included among the top collaborators of Ekin Ekıncı 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 Ekin Ekıncı. Ekin Ekıncı 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.
Sert, Sedat, et al.. (2024). Stabilization of Expansive Clays with Basalt Fibers and Prediction of Strength by Machine Learning. Arabian Journal for Science and Engineering. 49(10). 13651–13670. 13 indexed citations
2.
Ekıncı, Ekin, et al.. (2024). COMPARISON OF LONG SHORT-TERM MEMORY NETWORKS FOR DAILY AHEAD-FLOW PREDICTIONS ON A RIVER. Environmental Engineering and Management Journal. 23(2). 287–300. 1 indexed citations
3.
Ekıncı, Ekin, et al.. (2024). A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy‐preserving federated learning. International Journal of Imaging Systems and Technology. 34(1). 7 indexed citations
4.
Ekıncı, Ekin, et al.. (2024). Using 3D U-Net for Brain Tumour Segmentation from Magnetic Resonance Images. DergiPark (Istanbul University). 12(3). 81–87.
5.
Ekıncı, Ekin, et al.. (2024). Meta-heuristic optimization algorithms based feature selection for joint moment prediction of sit-to-stand movement using machine learning algorithms. Computers in Biology and Medicine. 178. 108812–108812. 5 indexed citations
6.
Ekıncı, Ekin, et al.. (2024). A sustainable solution for soil improvement: a decision tree model combined with metaheuristic optimizations for fiber reinforced clays. Environment Development and Sustainability. 4 indexed citations
7.
8.
Shiraz, Muhammad, et al.. (2023). Comparing COVID-19 vaccine passports attitudes across countries by analysing Reddit comments. Journal of Information Science. 51(4). 831–842. 7 indexed citations
9.
Ekıncı, Ekin, et al.. (2023). Electromyography based hand movement classification and feature extraction using machine learning algorithms. Journal of Polytechnic. 26(4). 1621–1633. 7 indexed citations
10.
11.
Omurca, Sevinç İlhan, et al.. (2022). A document image classification system fusing deep and machine learning models. Applied Intelligence. 53(12). 15295–15310. 9 indexed citations
12.
Ekıncı, Ekin, et al.. (2022). Traditional machine learning algorithms for breast cancer image classification with optimized deep features. Biomedical Signal Processing and Control. 81. 104534–104534. 56 indexed citations
13.
Ekıncı, Ekin. (2022). Classification of Imbalanced Offensive Dataset – Sentence Generation for Minority Class with LSTM. SHILAP Revista de lepidopterología. 5(1). 121–133. 4 indexed citations
14.
Omurca, Sevinç İlhan, et al.. (2021). Automatic Detection of the Topics in Customer Complaints with Artificial Intelligence. Balkan Journal of Electrical and Computer Engineering. 9(3). 268–277. 8 indexed citations
15.
Ekıncı, Ekin, Sevinç İlhan Omurca, & Bilge Özbay. (2021). Comparative assessment of modeling deep learning networks for modeling ground-level ozone concentrations of pandemic lock-down period. Ecological Modelling. 457. 109676–109676. 10 indexed citations
16.
Ekıncı, Ekin, et al.. (2021). Searchable Turkish OCRed historical newspaper collection 1928–1942. Journal of Information Science. 49(2). 335–347. 5 indexed citations
17.
Ekıncı, Ekin & Sevinç İlhan Omurca. (2020). NET-LDA: a novel topic modeling method based on semantic document similarity. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(4). 2244–2260. 9 indexed citations
18.
Ekıncı, Ekin & Sevinç İlhan Omurca. (2019). A new approach for a domain-independent turkish sentiment seed lexicon compilation.. The International Arab Journal of Information Technology. 16. 843–853. 4 indexed citations
19.
Ekıncı, Ekin & Sevinç İlhan Omurca. (2019). Concept-LDA: Incorporating Babelfy into LDA for aspect extraction. Journal of Information Science. 46(3). 406–418. 30 indexed citations
20.
Takçı, Hidayet & Ekin Ekıncı. (2016). Character Level Authorship Attribution for Turkish Text Documents. DergiPark (Istanbul University). 3 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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