Emine Uçar

1.1k total citations · 1 hit paper
16 papers, 761 citations indexed

About

Emine Uçar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Emine Uçar has authored 16 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Emine Uçar's work include Speech and Audio Processing (3 papers), Energy, Environment, Economic Growth (2 papers) and Digital Imaging for Blood Diseases (2 papers). Emine Uçar is often cited by papers focused on Speech and Audio Processing (3 papers), Energy, Environment, Economic Growth (2 papers) and Digital Imaging for Blood Diseases (2 papers). Emine Uçar collaborates with scholars based in Türkiye and United States. Emine Uçar's co-authors include Murat Uçar, Kemal Akyol, Ümit Atila, Baha Şen, Dursun Delen, Utku Köse and Abdullah Çavuşoğlu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Environmental Science and Pollution Research.

In The Last Decade

Emine Uçar

14 papers receiving 726 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.

Plant leaf disease classification using EfficientNet deep learning model

2020 602 citations Ümit Atila, Murat Uçar et al. Ecological Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emine Uçar Türkiye	7	482	187	95	75	60	16	761
Ebenezer O. Olaniyi United States	12	182 0.4×	142 0.8×	108 1.1×	43 0.6×	12 0.2×	29	590
Daniela Elena Popescu Romania	13	286 0.6×	91 0.5×	190 2.0×	60 0.8×	15 0.3×	37	865
Md. Tarek Habib Bangladesh	13	216 0.4×	101 0.5×	105 1.1×	26 0.3×	8 0.1×	60	559
Zaidah Ibrahim Malaysia	14	180 0.4×	78 0.4×	96 1.0×	61 0.8×	18 0.3×	65	596
Murat Uçar Türkiye	9	485 1.0×	188 1.0×	74 0.8×	75 1.0×	3 0.1×	32	783
Meili Sun China	7	162 0.3×	84 0.4×	138 1.5×	50 0.7×	6 0.1×	10	598
Naresh Kumar Trivedi India	13	319 0.7×	119 0.6×	99 1.0×	30 0.4×	3 0.1×	73	615
L V Narasimha Prasad India	12	220 0.5×	103 0.6×	137 1.4×	19 0.3×	5 0.1×	54	665
Poonam Dhiman India	8	249 0.5×	120 0.6×	65 0.7×	18 0.2×	4 0.1×	14	498
Amit Prakash Singh India	14	429 0.9×	157 0.8×	103 1.1×	43 0.6×	3 0.1×	62	649

Countries citing papers authored by Emine Uçar

Since Specialization

Citations

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

Fields of papers citing papers by Emine Uçar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emine Uçar

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

All Works

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16 of 16 papers shown

Uçar, Emine, et al.. (2024). Evaluating the relationship between climate change, food prices, and poverty: empirical evidence from underdeveloped countries. Environment Development and Sustainability. 27(11). 28061–28085. 2 indexed citations

Akyol, Kemal, Emine Uçar, Ümit Atila, & Murat Uçar. (2024). An ensemble approach for classification of tympanic membrane conditions using soft voting classifier. Multimedia Tools and Applications. 83(32). 77809–77830. 5 indexed citations

Akyol, Kemal, Emine Uçar, Ümit Atila, & Murat Uçar. (2022). An Ensemble Approach for Classification of Tympanic Membrane Conditions Using Soft Voting Classifier. SSRN Electronic Journal. 3 indexed citations

Uçar, Murat, et al.. (2022). A novel image Denoising approach using super resolution densely connected convolutional networks. Multimedia Tools and Applications. 81(23). 33291–33309. 4 indexed citations

Uçar, Emine, et al.. (2021). Carbon footprint forecasting using time series data mining methods: the case of Turkey. Environmental Science and Pollution Research. 28(29). 38552–38562. 17 indexed citations

Uçar, Emine. (2021). Akciğer Histopatoloji Görüntülerinden Çıkarılan Derin Özellikleri Kullanan Makine Öğrenmesi Sınıflandırıcıları ile Akciğer Kanseri Tespiti. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 10(4). 1552–1562.

Uçar, Emine, Ümit Atila, Murat Uçar, & Kemal Akyol. (2021). Automated detection of Covid-19 disease using deep fused features from chest radiography images. Biomedical Signal Processing and Control. 69. 102862–102862. 18 indexed citations

Uçar, Murat, et al.. (2021). A Stacking Ensemble Learning Approach for Intrusion Detection System. SHILAP Revista de lepidopterología. 9(4). 1329–1341. 3 indexed citations

Uçar, Murat, Kemal Akyol, Ümit Atila, & Emine Uçar. (2021). Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM. IRBM. 43(3). 187–197. 10 indexed citations

10.

Uçar, Emine. (2021). Classification of myositis from muscle ultrasound images using deep learning. Biomedical Signal Processing and Control. 71. 103277–103277. 11 indexed citations

11.

Atila, Ümit, Murat Uçar, Kemal Akyol, & Emine Uçar. (2020). Plant leaf disease classification using EfficientNet deep learning model. Ecological Informatics. 61. 101182–101182. 602 indexed citations breakdown →

12.

Uçar, Emine, et al.. (2020). Buzlanma Tahmini Yapan Mobil Uygulama Geliştirilmesi. Journal of Polytechnic. 24(4). 1543–1555. 1 indexed citations

13.

Uçar, Murat & Emine Uçar. (2019). DERİN OTOMATİK KODLAYICI TABANLI ÖZELLİK ÇIKARIMI İLE ANDROİD KÖTÜCÜL YAZILIM UYGULAMALARININ TESPİTİ. DergiPark (Istanbul University). 5(2). 21–28. 1 indexed citations

14.

Uçar, Murat & Emine Uçar. (2019). Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks. SHILAP Revista de lepidopterología. 2(1). 1–8. 10 indexed citations

15.

Çavuşoğlu, Abdullah, Baha Şen, Emine Uçar, & Murat Uçar. (2013). Analysing the Success of Level Determination Exam According to the School Type and Lesson Type that is Represented by Questions in the Exam. Procedia - Social and Behavioral Sciences. 103. 122–126.

16.

Şen, Baha, Emine Uçar, & Dursun Delen. (2012). Predicting and analyzing secondary education placement-test scores: A data mining approach. Expert Systems with Applications. 39(10). 9468–9476. 74 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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