Faisal Bin Ashraf

576 total citations
40 papers, 302 citations indexed

About

Faisal Bin Ashraf is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Faisal Bin Ashraf has authored 40 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Faisal Bin Ashraf's work include Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Text and Document Classification Technologies (4 papers). Faisal Bin Ashraf is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Text and Document Classification Technologies (4 papers). Faisal Bin Ashraf collaborates with scholars based in Bangladesh, United States and United Kingdom. Faisal Bin Ashraf's co-authors include Muhammad Usama Islam, Hasan Mahmud, Md. Kamrul Hasan, Jasim Uddin, R. Alhajj, Tansel Özyer, Youyuan Chen, Md. Abdul Mottalib, Muhammad Iqbal Hossain and Gareth D. Weedall and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Faisal Bin Ashraf

35 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faisal Bin Ashraf Bangladesh 9 96 96 56 53 23 40 302
Nabeel Sabir Khan Pakistan 10 47 0.5× 114 1.2× 35 0.6× 71 1.3× 40 1.7× 13 314
Faisal Anwer India 10 104 1.1× 93 1.0× 46 0.8× 32 0.6× 25 1.1× 25 256
Vikas Hassija India 9 30 0.3× 79 0.8× 60 1.1× 28 0.5× 36 1.6× 17 264
Ledya Novamizanti Indonesia 10 209 2.2× 94 1.0× 65 1.2× 24 0.5× 12 0.5× 108 426
Malik Tahir Hassan Pakistan 10 113 1.2× 120 1.3× 48 0.9× 10 0.2× 22 1.0× 26 262
K. Anandakumar India 6 85 0.9× 76 0.8× 63 1.1× 20 0.4× 89 3.9× 17 280
Partha Chakraborty Bangladesh 11 37 0.4× 128 1.3× 61 1.1× 25 0.5× 36 1.6× 30 342
Ahmad Zainul Fanani Indonesia 8 56 0.6× 113 1.2× 69 1.2× 10 0.2× 17 0.7× 63 294
Jennifer Eunice India 9 37 0.4× 67 0.7× 87 1.6× 26 0.5× 48 2.1× 20 452
Michele Merler United States 14 393 4.1× 197 2.1× 56 1.0× 14 0.3× 15 0.7× 35 597

Countries citing papers authored by Faisal Bin Ashraf

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Bin Ashraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faisal Bin Ashraf. 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 Faisal Bin Ashraf. The network helps show where Faisal Bin Ashraf may publish in the future.

Co-authorship network of co-authors of Faisal Bin Ashraf

This figure shows the co-authorship network connecting the top 25 collaborators of Faisal Bin Ashraf. A scholar is included among the top collaborators of Faisal Bin Ashraf 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 Faisal Bin Ashraf. Faisal Bin Ashraf 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.
Ashraf, Faisal Bin, et al.. (2025). Predicting Antibody–Antigen Interactions with Structure-Aware LLMs: Insights from SARS-CoV-2 Variants. Journal of Chemical Information and Modeling. 65(16). 8846–8857.
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Nagi, Sanjay C., Eric R. Lucas, Alexander Egyir-Yawson, et al.. (2024). Parallel Evolution in Mosquito Vectors—A Duplicated Esterase Locus is Associated With Resistance to Pirimiphos-methyl in Anopheles gambiae. Molecular Biology and Evolution. 41(7). 4 indexed citations
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Ashraf, Faisal Bin, et al.. (2023). Correlation of kinesiophobia with postpartum depression in females with lumbo-pelvic pain. SHILAP Revista de lepidopterología. 7(1). 483–487.
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Ashraf, Faisal Bin, et al.. (2023). Predicting Mushroom Edibility with Effective Classification and Efficient Feature Selection Techniques. 5. 1–5. 1 indexed citations
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Ashraf, Faisal Bin, et al.. (2023). YoNet: A Neural Network for Yoga Pose Classification. SN Computer Science. 4(2). 198–198. 34 indexed citations
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Ashraf, Faisal Bin, et al.. (2023). Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches. PLoS ONE. 18(9). e0288053–e0288053. 8 indexed citations
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Ashraf, Faisal Bin & Youyuan Chen. (2023). Synergistic effects of biochar and arbuscular mycorrhizal fungi on enhancing Elymus elymoides growth in saline coastal soil. Pakistan Journal of Botany. 55(SI). 9 indexed citations
10.
Ashraf, Faisal Bin, et al.. (2022). An Efficient Deep Learning Technique for Bangla Fake News Detection. 206–211. 4 indexed citations
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Ahmed, Md. Faisal, et al.. (2022). ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection. 2022 International Conference on Decision Aid Sciences and Applications (DASA). 911–916. 10 indexed citations
12.
Ashraf, Faisal Bin, et al.. (2022). A Machine Learning Approach to Predict Movie Success from Youtube Trailer Comments. 372–377. 3 indexed citations
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Ashraf, Faisal Bin, et al.. (2022). An Analysis of Different Distance-Linkage Methods for Clustering Gene Expression Data and Observing Pleiotropy: Empirical Study. PubMed. 3(1). e30890–e30890. 4 indexed citations
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Ashraf, Faisal Bin, et al.. (2020). MFEA: An evolutionary approach for motif finding in DNA sequences. Informatics in Medicine Unlocked. 21. 100466–100466. 7 indexed citations
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Islam, Muhammad Usama, et al.. (2017). Polarity detection of online news articles based on sentence structure and dynamic dictionary. 1–5. 8 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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