Zafer Aydın

861 total citations
52 papers, 516 citations indexed

About

Zafer Aydın is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Zafer Aydın has authored 52 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Zafer Aydın's work include Protein Structure and Dynamics (19 papers), Machine Learning in Bioinformatics (18 papers) and Computational Drug Discovery Methods (9 papers). Zafer Aydın is often cited by papers focused on Protein Structure and Dynamics (19 papers), Machine Learning in Bioinformatics (18 papers) and Computational Drug Discovery Methods (9 papers). Zafer Aydın collaborates with scholars based in Türkiye, United States and Iran. Zafer Aydın's co-authors include Y. Altunbasak, Mark Borodovsky, Yasin Görmez, Bülent Yılmaz, Çiğdem Eroğlu Erdem, William Stafford Noble, Vehbi Çağrı Güngör, Cigdem Turan, Kasım Taşdemir and Oğuz Kaynar and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Zafer Aydın

48 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zafer Aydın Türkiye 13 209 162 73 71 64 52 516
Yiming Zhou China 5 104 0.5× 141 0.9× 100 1.4× 48 0.7× 92 1.4× 5 464
Dongyuan Li China 12 67 0.3× 127 0.8× 22 0.3× 17 0.2× 81 1.3× 48 383
Shengfeng Pan China 5 69 0.3× 231 1.4× 21 0.3× 21 0.3× 117 1.8× 5 539
Gowri Srinivasa India 10 73 0.3× 81 0.5× 50 0.7× 28 0.4× 134 2.1× 54 384
Murtadha Ahmed China 6 69 0.3× 343 2.1× 23 0.3× 22 0.3× 115 1.8× 17 643
Jinhua Zhu China 10 92 0.4× 144 0.9× 12 0.2× 96 1.4× 43 0.7× 33 314
Huang Cheng-bing China 4 192 0.9× 56 0.3× 19 0.3× 48 0.7× 33 0.5× 10 369
Dario Malchiodi Italy 11 60 0.3× 139 0.9× 52 0.7× 43 0.6× 47 0.7× 47 416

Countries citing papers authored by Zafer Aydın

Since Specialization
Citations

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

Fields of papers citing papers by Zafer Aydın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zafer Aydın

This figure shows the co-authorship network connecting the top 25 collaborators of Zafer Aydın. A scholar is included among the top collaborators of Zafer Aydın 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 Zafer Aydın. Zafer Aydın 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.
Aydın, Zafer, et al.. (2024). An effective colorectal polyp classification for histopathological images based on supervised contrastive learning. Computers in Biology and Medicine. 172. 108267–108267. 7 indexed citations
2.
Aydın, Zafer, et al.. (2023). Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity. PeerJ. 11. e15552–e15552. 3 indexed citations
3.
Aydın, Zafer, et al.. (2023). Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization. Computer Methods and Programs in Biomedicine. 232. 107441–107441. 22 indexed citations
4.
Erbay, Hasan, et al.. (2021). 3-State Protein Secondary Structure Prediction based on SCOPe Classes. Brazilian Archives of Biology and Technology. 64. 1 indexed citations
5.
Görmez, Yasin, et al.. (2021). IGPRED : Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction. Proteins Structure Function and Bioinformatics. 89(10). 1277–1288. 14 indexed citations
6.
Görmez, Yasin, et al.. (2020). FBSEM: A Novel Feature-Based Stacked Ensemble Method for Sentiment Analysis. International Journal of Information Technology and Computer Science. 12(6). 11–22. 12 indexed citations
7.
Taşdemir, Kasım, et al.. (2020). YSA KULLANILARAK MAMOGRAMLARDAN DOKUSAL ÖZNİTELİK TABANLI MEME KANSERİ İLGİ BÖLGESİ TESPİTİ. Mühendislik Bilimleri ve Tasarım Dergisi. 8(5). 133–141. 1 indexed citations
8.
Aydın, Zafer, et al.. (2019). Sample Reduction Strategies for Protein Secondary Structure Prediction. Applied Sciences. 9(20). 4429–4429. 3 indexed citations
9.
Aydın, Zafer. (2019). Makine Öğrenmesi ve Biyoenformatik Uygulamalarının Yüksek Başarımlı Hesaplama Sistemlerindeki Performans Analizi. Academic Platform Journal of Engineering and Smart Systems. 1–14. 2 indexed citations
10.
Görmez, Yasin, et al.. (2019). Classification of Cardiovascular Artery Diseases Using Artificial Neural Network. International Journal of Bioscience Biochemistry and Bioinformatics. 10(1). 34–41. 3 indexed citations
11.
Güngör, Vehbi Çağrı, et al.. (2018). Intelligent Anomaly Detection Techniques for Denial of Service Attacks. International Journal of Computer and Communication Engineering. 7(2). 20–31. 1 indexed citations
12.
Kaynar, Oğuz, Zafer Aydın, & Yasin Görmez. (2017). Sentiment Analizinde Öznitelik Düşürme Yöntemlerinin Oto Kodlayıcılı Derin Öğrenme Makinaları ile Karşılaştırılması. Bilişim Teknolojileri Dergisi. 319–326. 12 indexed citations
13.
Aydın, Zafer, et al.. (2017). Combining classifiers for protein secondary structure prediction. DSpace@MŞU. 16. 29–33. 1 indexed citations
14.
Aydın, Zafer, David Baker, & William Stafford Noble. (2015). Constructing Structural Profiles for Protein Torsion Angle Prediction. 26–35. 7 indexed citations
15.
Turan, Cigdem, et al.. (2013). A method for extraction of affective audio-visual facial clips from movies. 9. 1–4. 1 indexed citations
16.
Akbaş, Fahri & Zafer Aydın. (2012). Boric acid increases the expression levels of human anion exchanger genes SLC4A2 and SLC4A3. Genetics and Molecular Research. 11(2). 847–854. 3 indexed citations
17.
Aydın, Zafer, Ajit Singh, Jeff Bilmes, & William Stafford Noble. (2011). Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure. BMC Bioinformatics. 12(1). 154–154. 30 indexed citations
18.
Aydın, Zafer, Y. Altunbasak, & Hakan Erdoğan. (2009). Bayesian Models and Algorithms for Protein β-Sheet Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 395–409. 21 indexed citations
19.
Aydın, Zafer, Y. Altunbasak, & Mark Borodovsky. (2006). Protein secondary structure prediction for a single-sequence using hidden semi-Markov models. BMC Bioinformatics. 7(1). 178–178. 77 indexed citations
20.
Aydın, Zafer, Y. Altunbasak, & Mark Borodovsky. (2005). Protein secondary structure prediction with semi Markov HMMs. PubMed. 4. 2964–2967. 5 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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