Anıl Utku

411 total citations
57 papers, 252 citations indexed

About

Anıl Utku is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Anıl Utku has authored 57 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Information Systems and 11 papers in Signal Processing. Recurrent topics in Anıl Utku's work include Anomaly Detection Techniques and Applications (9 papers), Advanced Malware Detection Techniques (8 papers) and Spam and Phishing Detection (7 papers). Anıl Utku is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Advanced Malware Detection Techniques (8 papers) and Spam and Phishing Detection (7 papers). Anıl Utku collaborates with scholars based in Türkiye, Spain and Iraq. Anıl Utku's co-authors include M. Ali Akçayol, Sema Kayapınar Kaya, İbrahim Alper Doğru, Oktay Yıldız, Mahmut Kaya, Abdülkadir Barut, Narasingha Das, Javier Cifuentes‐Faura, Mustafa Kamal and Banu Kutlu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Sciences.

In The Last Decade

Anıl Utku

46 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anıl Utku Türkiye 10 74 50 37 33 31 57 252
Andri Pranolo Indonesia 8 93 1.3× 76 1.5× 23 0.6× 23 0.7× 20 0.6× 61 269
Abdulaziz Attaallah Saudi Arabia 9 59 0.8× 104 2.1× 32 0.9× 65 2.0× 36 1.2× 17 290
Yosra Hajjaji Tunisia 3 61 0.8× 68 1.4× 27 0.7× 101 3.1× 21 0.7× 4 261
Ismail Al-Taharwa Jordan 8 73 1.0× 62 1.2× 46 1.2× 37 1.1× 16 0.5× 17 471
Venkata M. V. Gunturi India 6 54 0.7× 43 0.9× 94 2.5× 39 1.2× 18 0.6× 17 304
Xudong Pan China 8 169 2.3× 23 0.5× 51 1.4× 14 0.4× 22 0.7× 20 277
Agus Buono Indonesia 9 79 1.1× 66 1.3× 23 0.6× 16 0.5× 22 0.7× 90 291
Thorben Iggena Germany 5 72 1.0× 44 0.9× 34 0.9× 119 3.6× 16 0.5× 9 274
Shaheen Khatoon Saudi Arabia 9 79 1.1× 58 1.2× 20 0.5× 75 2.3× 8 0.3× 31 257

Countries citing papers authored by Anıl Utku

Since Specialization
Citations

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

Fields of papers citing papers by Anıl Utku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anıl Utku

This figure shows the co-authorship network connecting the top 25 collaborators of Anıl Utku. A scholar is included among the top collaborators of Anıl Utku 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 Anıl Utku. Anıl Utku 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.
Utku, Anıl, et al.. (2025). A New Hybrid ConvViT Model for Dangerous Farm Insect Detection. Applied Sciences. 15(5). 2518–2518. 2 indexed citations
2.
Utku, Anıl. (2024). Hybrid CNN-LSTM Model for Fake News Detection. DergiPark (Istanbul University).
3.
Utku, Anıl. (2024). Hybrid CNN-LSTM Model for Air Quality Prediction: A Case Study for Gurugram. DergiPark (Istanbul University). 5(1). 33–40. 2 indexed citations
4.
5.
Utku, Anıl. (2024). DEPREM SEVİYE SINIFLANDIRMASI İÇİN HİBRİT BİR CONVLSTM MODELİ: KARŞILAŞTIRMALI BİR ANALİZ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 27(4). 1334–1349. 1 indexed citations
7.
Utku, Anıl & M. Ali Akçayol. (2024). Spread patterns of COVID-19 in European countries: hybrid deep learning model for prediction and transmission analysis. Neural Computing and Applications. 36(17). 10201–10217. 3 indexed citations
8.
Utku, Anıl. (2024). Hindistan'daki Turistik Şehirlerin İklim Değişkenlerinin Tahminine Yönelik Hibrit ConvGRU Modeli. DergiPark (Istanbul University). 6(2). 165–176. 2 indexed citations
9.
Utku, Anıl. (2023). Deep learning based hybrid prediction model for predicting the spread of COVID-19 in the world's most populous countries. Expert Systems with Applications. 231. 120769–120769. 15 indexed citations
11.
Utku, Anıl, et al.. (2023). Detection of hateful twitter users with graph convolutional network model. Earth Science Informatics. 16(1). 329–343. 7 indexed citations
12.
Utku, Anıl, et al.. (2023). Correction to: Detection of hateful twitter users with graph convolutional network model. Earth Science Informatics. 17(1). 867–867. 1 indexed citations
13.
Utku, Anıl, et al.. (2023). Unraveling user perceptions and biases: A comparative study of ML and DL models for exploring twitter sentiments towards ChatGPT. Journal of Engineering Research. 13(2). 1658–1665. 5 indexed citations
14.
Utku, Anıl, et al.. (2023). Deep Learning Based Classification for Hoverflies (Diptera: Syrphidae). 3 indexed citations
15.
Utku, Anıl. (2023). Deep Learning Based an Efficient Hybrid Model for Urban Traffic Prediction. Bilişim Teknolojileri Dergisi. 16(2). 107–117. 1 indexed citations
16.
Utku, Anıl, et al.. (2023). A long short-term memory-based hybrid model optimized using a genetic algorithm for particulate matter 2.5 prediction. Atmospheric Pollution Research. 14(8). 101836–101836. 11 indexed citations
17.
Utku, Anıl. (2023). Derin Öğrenme Tabanlı Trafik Yoğunluğu Tahmini: İstanbul İçin Bir Vaka Çalışması. SHILAP Revista de lepidopterología. 11(3). 1584–1598. 1 indexed citations
18.
Utku, Anıl. (2023). Deep learning based an efficient hybrid prediction model for Covid-19 cross-country spread among E7 and G7 countries. Decision Making Applications in Management and Engineering. 6(1). 502–534. 10 indexed citations
19.
Utku, Anıl. (2022). Deep Learning Based Cirrhosis Detection. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Utku, Anıl & Sema Kayapınar Kaya. (2022). Multi-layer perceptron based transfer passenger flow prediction in Istanbul transportation system. Decision Making Applications in Management and Engineering. 5(1). 208–224. 17 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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