Ali Ezzat

935 total citations
7 papers, 679 citations indexed

About

Ali Ezzat is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ali Ezzat has authored 7 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Ali Ezzat's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (3 papers) and Machine Learning in Bioinformatics (2 papers). Ali Ezzat is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (3 papers) and Machine Learning in Bioinformatics (2 papers). Ali Ezzat collaborates with scholars based in Singapore, Türkiye and Iran. Ali Ezzat's co-authors include Min Wu, Xiaoli Li, Chee Keong Kwoh, Chee-Keong Kwoh, Peilin Zhao and S. Behnia and has published in prestigious journals such as BMC Bioinformatics, Methods and Chaos Solitons & Fractals.

In The Last Decade

Ali Ezzat

7 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ezzat Singapore 6 574 521 130 76 64 7 679
Yang Qiu China 13 509 0.9× 503 1.0× 159 1.2× 58 0.8× 113 1.8× 34 804
Xiaorui Su China 18 769 1.3× 549 1.1× 113 0.9× 144 1.9× 156 2.4× 43 1.0k
Jian Yin China 6 426 0.7× 379 0.7× 78 0.6× 64 0.8× 64 1.0× 16 600
Yajie Meng China 14 524 0.9× 372 0.7× 45 0.3× 124 1.6× 85 1.3× 36 717
Feng Dai China 5 413 0.7× 365 0.7× 71 0.5× 63 0.8× 31 0.5× 13 571
Changcheng Lu China 8 336 0.6× 281 0.5× 37 0.3× 49 0.6× 51 0.8× 11 463
Ahmet Süreyya Rifaioğlu Türkiye 8 672 1.2× 529 1.0× 174 1.3× 15 0.2× 39 0.6× 15 896
Tri Minh Nguyen Australia 6 581 1.0× 565 1.1× 213 1.6× 29 0.4× 38 0.6× 12 772
Kristina Preuer Austria 2 258 0.4× 274 0.5× 74 0.6× 29 0.4× 39 0.6× 2 384

Countries citing papers authored by Ali Ezzat

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ezzat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ezzat

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

All Works

7 of 7 papers shown
1.
Ezzat, Ali, Min Wu, Xiaoli Li, & Chee-Keong Kwoh. (2018). Computational Prediction of Drug-Target Interactions via Ensemble Learning. Methods in molecular biology. 1903. 239–254. 27 indexed citations
2.
Ezzat, Ali, Min Wu, Xiaoli Li, & Chee Keong Kwoh. (2018). Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey. Briefings in Bioinformatics. 20(4). 1337–1357. 207 indexed citations
3.
Ezzat, Ali, Min Wu, Xiaoli Li, & Chee-Keong Kwoh. (2017). Drug-target interaction prediction using ensemble learning and dimensionality reduction. Methods. 129. 81–88. 86 indexed citations
4.
Ezzat, Ali, Min Wu, Xiaoli Li, & Chee Keong Kwoh. (2016). Drug-target interaction prediction via class imbalance-aware ensemble learning. BMC Bioinformatics. 17(S19). 509–509. 105 indexed citations
5.
Ezzat, Ali, Peilin Zhao, Min Wu, Xiaoli Li, & Chee-Keong Kwoh. (2016). Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(3). 646–656. 244 indexed citations
6.
Behnia, S., et al.. (2015). Effect of magnetic field on the radial pulsations of a gas bubble in a non-Newtonian fluid. Chaos Solitons & Fractals. 78. 194–204. 7 indexed citations
7.
Ezzat, Ali & Chee Keong Kwoh. (2012). Comparison of Structure-based Tools for the Prediction of Ligand Binding Site Residues in Apo-structures. Procedia Computer Science. 11. 115–126. 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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