Elham Pashaei

813 total citations
27 papers, 603 citations indexed

About

Elham Pashaei is a scholar working on Molecular Biology, Artificial Intelligence and Media Technology. According to data from OpenAlex, Elham Pashaei has authored 27 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Elham Pashaei's work include Machine Learning in Bioinformatics (12 papers), Gene expression and cancer classification (12 papers) and Molecular Biology Techniques and Applications (4 papers). Elham Pashaei is often cited by papers focused on Machine Learning in Bioinformatics (12 papers), Gene expression and cancer classification (12 papers) and Molecular Biology Techniques and Applications (4 papers). Elham Pashaei collaborates with scholars based in Türkiye, United States and Iran. Elham Pashaei's co-authors include Elnaz Pashaei, Nizamettin Aydın, Mustafa Özen, Ali Maghari, Alper Yılmaz and Seyedali Mirjalili and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Expert Systems with Applications.

In The Last Decade

Elham Pashaei

26 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elham Pashaei Türkiye 14 243 241 82 76 52 27 603
Hanyu Zhang China 17 235 1.0× 118 0.5× 41 0.5× 86 1.1× 34 0.7× 47 699
Elnaz Pashaei Türkiye 13 290 1.2× 386 1.6× 100 1.2× 112 1.5× 40 0.8× 30 741
Junjie Wang China 15 286 1.2× 73 0.3× 17 0.2× 129 1.7× 44 0.8× 70 659
Mingyang Jiang China 11 204 0.8× 138 0.6× 37 0.5× 56 0.7× 27 0.5× 61 587
Xiaogang Dong China 13 144 0.6× 85 0.4× 110 1.3× 62 0.8× 36 0.7× 60 531
King Wai Lau United Kingdom 11 282 1.2× 110 0.5× 74 0.9× 51 0.7× 25 0.5× 20 581
Weiran Huang China 11 88 0.4× 258 1.1× 33 0.4× 150 2.0× 29 0.6× 25 513
Hua Chai China 14 242 1.0× 296 1.2× 116 1.4× 139 1.8× 17 0.3× 30 641

Countries citing papers authored by Elham Pashaei

Since Specialization
Citations

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

Fields of papers citing papers by Elham Pashaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elham Pashaei

This figure shows the co-authorship network connecting the top 25 collaborators of Elham Pashaei. A scholar is included among the top collaborators of Elham Pashaei 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 Elham Pashaei. Elham Pashaei 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.
Pashaei, Elnaz, et al.. (2025). Binary hiking optimization for gene selection: Insights from HNSCC RNA-Seq data. Expert Systems with Applications. 268. 126404–126404. 4 indexed citations
2.
Pashaei, Elham, et al.. (2025). Evaluation of Ensemble Learning Methods for Flood Prediction. 1–4.
3.
Pashaei, Elham, et al.. (2024). Developing machine learning-based ground motion models to predict peak ground velocity in Turkiye. Journal of Seismology. 28(5). 1183–1204. 6 indexed citations
4.
Pashaei, Elham, et al.. (2023). Performance evaluation of machine learning techniques in predicting cumulative absolute velocity. Soil Dynamics and Earthquake Engineering. 174. 108175–108175. 19 indexed citations
5.
Pashaei, Elnaz, et al.. (2022). Hybrid Hypercube Optimization Search Algorithm and Multilayer Perceptron Neural Network for Medical Data Classification. Computational Intelligence and Neuroscience. 2022. 1–16. 8 indexed citations
6.
Pashaei, Elham. (2022). Mutation-based Binary Aquila optimizer for gene selection in cancer classification. Computational Biology and Chemistry. 101. 107767–107767. 19 indexed citations
7.
Pashaei, Elham & Elnaz Pashaei. (2022). Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high-dimensional biomedical data. The Journal of Supercomputing. 78(13). 15598–15637. 33 indexed citations
8.
Pashaei, Elnaz & Elham Pashaei. (2022). A fusion approach based on black hole algorithm and particle swarm optimization for image enhancement. Multimedia Tools and Applications. 82(1). 297–325. 12 indexed citations
9.
Pashaei, Elnaz & Elham Pashaei. (2022). An efficient binary chimp optimization algorithm for feature selection in biomedical data classification. Neural Computing and Applications. 34(8). 6427–6451. 91 indexed citations
10.
Pashaei, Elnaz & Elham Pashaei. (2021). Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data. Analytical Biochemistry. 627. 114242–114242. 31 indexed citations
11.
Pashaei, Elham & Elnaz Pashaei. (2021). Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification. Arabian Journal for Science and Engineering. 46(4). 3807–3828. 21 indexed citations
13.
Pashaei, Elham & Nizamettin Aydın. (2018). Markovian encoding models in human splice site recognition using SVM. Computational Biology and Chemistry. 73. 159–170. 14 indexed citations
14.
Pashaei, Elnaz, Elham Pashaei, & Nizamettin Aydın. (2018). Gene selection using hybrid binary black hole algorithm and modified binary particle swarm optimization. Genomics. 111(4). 669–686. 70 indexed citations
15.
Pashaei, Elnaz, et al.. (2017). Meta-analysis of miRNA expression profiles for prostate cancer recurrence following radical prostatectomy. PLoS ONE. 12(6). e0179543–e0179543. 101 indexed citations
16.
Pashaei, Elham & Nizamettin Aydın. (2017). Frequency difference based DNA encoding methods in human splice site recognition. 14. 586–591. 3 indexed citations
17.
Pashaei, Elham, Alper Yılmaz, Mustafa Özen, & Nizamettin Aydın. (2016). A novel method for splice sites prediction using sequence component and hidden Markov model. PubMed. 9. 3076–3079. 10 indexed citations
18.
Pashaei, Elham, Mustafa Özen, & Nizamettin Aydın. (2016). Splice sites prediction of human genome using AdaBoost. 300–303. 13 indexed citations
19.
Pashaei, Elham, Alper Yılmaz, Mustafa Özen, & Nizamettin Aydın. (2016). Prediction of splice site using AdaBoost with a new sequence encoding approach. 3853–3858. 10 indexed citations
20.
Pashaei, Elham, Mustafa Özen, & Nizamettin Aydın. (2016). Splice site identification in human genome using random forest. Health and Technology. 7(1). 141–152. 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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