Hany Alashwal

1.6k total citations · 1 hit paper
43 papers, 951 citations indexed

About

Hany Alashwal is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Hany Alashwal has authored 43 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Hany Alashwal's work include Bioinformatics and Genomic Networks (7 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (6 papers). Hany Alashwal is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (6 papers). Hany Alashwal collaborates with scholars based in United Arab Emirates, Australia and South Africa. Hany Alashwal's co-authors include Nazar Zaki, Ahmed A. Moustafa, Sahar Ibrahim, Nasser H. Zawia, Jacob J. Crouse, Kadhim Hayawi, Safaai Deris, Mubashir Hassan, Elfadil A. Mohamed and Razib M. Othman and has published in prestigious journals such as PLoS ONE, Scientific Reports and Experimental Brain Research.

In The Last Decade

Hany Alashwal

40 papers receiving 912 citations

Hit Papers

A Systematic Literature R... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hany Alashwal United Arab Emirates 13 194 189 145 140 117 43 951
Nikita Jain India 17 424 2.2× 161 0.9× 11 0.1× 43 0.3× 86 0.7× 85 1.3k
Kevin Small United States 17 526 2.7× 128 0.7× 44 0.3× 21 0.1× 122 1.0× 34 1.1k
Md. Maniruzzaman Bangladesh 24 495 2.6× 82 0.4× 32 0.2× 11 0.1× 67 0.6× 90 1.7k
Frans Henskens Australia 18 117 0.6× 56 0.3× 46 0.3× 34 0.2× 74 0.6× 95 1.0k
Hao Deng United States 17 389 2.0× 106 0.6× 54 0.4× 6 0.0× 64 0.5× 71 1.2k
Maryam Panahiazar United States 14 347 1.8× 166 0.9× 10 0.1× 59 0.4× 62 0.5× 36 1.2k
Zhenxing Xu United States 17 320 1.6× 107 0.6× 4 0.0× 99 0.7× 77 0.7× 51 1.2k
Rui Zhang United States 20 691 3.6× 488 2.6× 9 0.1× 45 0.3× 63 0.5× 144 1.7k
Ling Liu China 23 77 0.4× 279 1.5× 3 0.0× 89 0.6× 71 0.6× 102 1.7k

Countries citing papers authored by Hany Alashwal

Since Specialization
Citations

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

Fields of papers citing papers by Hany Alashwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hany Alashwal

This figure shows the co-authorship network connecting the top 25 collaborators of Hany Alashwal. A scholar is included among the top collaborators of Hany Alashwal 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 Hany Alashwal. Hany Alashwal 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.
Alashwal, Hany, et al.. (2024). Enhancing Diagnostic Accuracy by Bypassing Traditional Imputation and Leveraging Missing Data in Alzheimer's Disease Detection Models. Bond University Research Portal (Bond University). 33–38.
3.
Hayawi, Kadhim, Sakib Shahriar, Hany Alashwal, & Mohamed Adel Serhani. (2024). Generative AI and large language models: A new frontier in reverse vaccinology. Informatics in Medicine Unlocked. 48. 101533–101533. 10 indexed citations
4.
Alashwal, Hany, Julian Maciaszek, Dorota Frydecka, Błażej Misiak, & Ahmed A. Moustafa. (2023). A Neurocomputational Analysis Review of Dorsolateral Prefrontal Cortex rTMS Treatments of Neurological Disorder. Bond University Research Portal (Bond University). 85–90. 1 indexed citations
5.
Alashwal, Hany, et al.. (2023). A neural network model of mathematics anxiety: The role of attention. PLoS ONE. 18(12). e0295264–e0295264.
6.
Alashwal, Hany, et al.. (2022). Applications of machine learning to behavioral sciences: focus on categorical data. Discover Psychology. 2(1). 5 indexed citations
7.
Cai, Siqi, et al.. (2022). A Nonsynaptic Memory Based Neural Network for Hand-Written Digit Classification Using an Explainable Feature Extraction Method. Bond University Research Portal (Bond University). 69–75. 2 indexed citations
8.
Alashwal, Hany, et al.. (2022). A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification. Frontiers in Artificial Intelligence. 5. 680165–680165. 8 indexed citations
10.
Alashwal, Hany, et al.. (2021). Real Time Detection of Social Bots on Twitter Using Machine Learning and Apache Kafka. 98–102. 8 indexed citations
11.
Hassan, Mubashir, Sara Zahid, Hany Alashwal, Andrzej Kloczkowski, & Ahmed A. Moustafa. (2021). Mechanistic insights into TNFR1/MADD death domains in Alzheimer’s disease through conformational molecular dynamic analysis. Scientific Reports. 11(1). 12256–12256. 11 indexed citations
12.
Moustafa, Ahmed A., Richard Tindle, Hany Alashwal, & Thierno Diallo. (2020). A longitudinal study using latent curve models of groups with mild cognitive impairment and Alzheimer’s disease. Journal of Neuroscience Methods. 350. 109040–109040. 7 indexed citations
13.
Alashwal, Hany, et al.. (2019). The Application of Unsupervised Clustering Methods to Alzheimer’s Disease. Frontiers in Computational Neuroscience. 13. 31–31. 127 indexed citations
14.
Alashwal, Hany, et al.. (2019). Data stream mining techniques: a review. TELKOMNIKA (Telecommunication Computing Electronics and Control). 17(2). 728–728. 11 indexed citations
15.
Hassan, Mubashir, Saba Shahzadi, Hussain Raza, et al.. (2018). Computational investigation of mechanistic insights of Aβ42 interactions against extracellular domain of nAChRα7 in Alzheimer’s disease. International Journal of Neuroscience. 129(7). 666–680. 7 indexed citations
17.
Alashwal, Hany, et al.. (2012). Genome-wide expression and methylation profiling in the aged rodent brain due to early-life Pb exposure and its relevance to aging. Mechanisms of Ageing and Development. 133(6). 435–443. 75 indexed citations
18.
Alashwal, Hany, et al.. (2012). Integration of genome-wide expression and methylation data: Relevance to aging and Alzheimer's disease. NeuroToxicology. 33(6). 1450–1453. 25 indexed citations
19.
Alashwal, Hany, Safaai Deris, & Razib M. Othman. (2007). Comparison Of Domain And Hydrophobicity Features For The Prediction Of Protein-Protein Interactions Using Support Vector Machines. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
20.
Deris, Safaai, et al.. (2006). UTMGO: A Tool for Searching a Group of Semantically Related Gene Ontology Terms and Application to Annotation of Anonymous Protein Sequence. International Journal Canada s Journal of Global Policy Analysis. 1(3). 183–191. 1 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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