Mehmet Tan

421 total citations
33 papers, 228 citations indexed

About

Mehmet Tan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Mehmet Tan has authored 33 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Mehmet Tan's work include Gene Regulatory Network Analysis (12 papers), Gene expression and cancer classification (9 papers) and Bioinformatics and Genomic Networks (8 papers). Mehmet Tan is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), Gene expression and cancer classification (9 papers) and Bioinformatics and Genomic Networks (8 papers). Mehmet Tan collaborates with scholars based in Türkiye, Canada and Lebanon. Mehmet Tan's co-authors include Reda Alhajj, Faruk Polat, Mohammed Alshalalfa, Suna Sabuncuoğlu, Güney Özcebe, Tuba Bayındır, Jon Rokne, Özkan Kale, Keivan Kianmehr and Kemal Biçakcı and has published in prestigious journals such as Genomics, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Journal of Energy Storage.

In The Last Decade

Mehmet Tan

30 papers receiving 223 citations

Peers

Countries citing papers authored by Mehmet Tan

Since Specialization

Citations

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

Fields of papers citing papers by Mehmet Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehmet Tan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Latent heat thermal energy storage: Metal foam configuration and deep learning-based process predictions 2025 ·Journal of Energy Storage ·(unknown), Mehmet Gürdal, Mehmet Tan, Engin Gedik	0
2	Improving clinical outcome predictions using convolution over medical entities with multimodal learning 2021 ·Artificial Intelligence in Medicine ·(unknown), Mehmet Tan	30
3	Analysis and Evaluation of Keystroke Dynamics as a Feature of Contextual Authentication 2020 ·Kemal Biçakcı, (unknown), (unknown), Mehmet Tan	5
4	TÜKETİM KÜLTÜRÜ BAĞLAMINDA İSTEK VE İHTİYAÇLARIN OLUŞUMU: KAVRAMSAL BİR ANALİZ 2019 ·DergiPark (Istanbul University) ·Mehmet Tan	0
5	Drug response prediction by ensemble learning and drug-induced gene expression signatures 2018 ·Genomics ·Mehmet Tan, (unknown), (unknown), (unknown), Suna Sabuncuoğlu	25
6	Predicting drug activity by image encoded gene expression profiles 2018 ·(unknown), (unknown), Mehmet Tan	1
7	Effective gene expression data generation framework based on multi-model approach 2016 ·Artificial Intelligence in Medicine ·(unknown), (unknown), Faruk Polat, Mehmet Tan, Reda Alhajj	3
8	Prediction of anti-cancer drug response by kernelized multi-task learning 2016 ·Artificial Intelligence in Medicine ·Mehmet Tan	36
9	Multi-scale modularity and motif distributional effect in metabolic networks 2015 ·Current Protein and Peptide Science ·Shang Gao, Alan Chen, (unknown), Jia Zeng, Mehmet Tan, Reda Alhajj, Jon Rokne, Douglas J. Demetrick, Xiaohui Wei	3
10	Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles 2014 ·Mehmet Tan	2
11	Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data 2013 ·International Journal of Data Mining and Bioinformatics ·(unknown), Mehmet Tan, Reda Alhajj, Faruk Polat, Jon Rokne, Douglas J. Demetrick	1
12	Positive unlabeled learning for deriving protein interaction networks 2012 ·Network Modeling Analysis in Health Informatics and Bioinformatics ·(unknown), Mehmet Tan	18
13	Bell paralizisinde tanı ve tedavi yöntemleri 2011 ·Tuba Bayındır, Mehmet Tan, Erol Selimoğlu	3
14	Pid-Based temperature control for exothermic chemical reactor using hybrid QL-GA 2011 ·Mehmet Tan, (unknown), Kenneth Tze Kin Teo	1
15	Employing Machine Learning Techniques for Data Enrichment: Increasing the Number of Samples for Effective Gene Expression Data Analysis 2011 ·OpenMETU (Middle East Technical University) ·(unknown), Mehmet Tan, Reda Alhajj, Faruk Polat, Douglas J. Demetrick, Jon Rokne	4
16	Feature selection for graph kernels 2010 ·Mehmet Tan, Faruk Polat, Reda Alhajj	1
17	Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks 2009 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Mehmet Tan, Mohammed Alshalalfa, Reda Alhajj, Faruk Polat	18
18	Automated Large-Scale Control of Gene Regulatory Networks 2009 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Mehmet Tan, Reda Alhajj, Faruk Polat	7
19	Scalable approach for effective control of gene regulatory networks 2009 ·Artificial Intelligence in Medicine ·Mehmet Tan, Reda Alhajj, Faruk Polat	4
20	Feature Reduction for Gene Regulatory Network Control 2007 ·OpenMETU (Middle East Technical University) ·Mehmet Tan, (unknown), Reda Alhajj	3

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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