Afiahayati
Impact in
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- Traffic Prediction and Management Techniques
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Metabolomics and Mass Spectrometry Studies
Papers in
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- Machine Learning in Bioinformatics 6
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 3
- vaccines and immunoinformatics approaches 3
- Protein Structure and Dynamics 2
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- Algorithms and Data Compression 2
- Co-authors
- Kengo Sato (2 shared papers)Yasubumi Sakakibara (2 shared papers)Reza Pulungan (1 shared paper)Sri Hartati (3 shared papers)Ahmad Ashari (1 shared paper)Susamto Somowiyarjo (1 shared paper)Sedyo Hartono (1 shared paper)Endah Supriyati (3 shared papers)
In The Last Decade
Afiahayati
23 papers receiving 283 citations
Peers
Comparison fields: 5 of 91
- Building and Construction 35
- Molecular Biology 116
- Computer Vision and Pattern Recognition 34
- Ecology 38
- Artificial Intelligence 51
Countries citing papers authored by Afiahayati
This map shows the geographic impact of Afiahayati'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 Afiahayati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afiahayati more than expected).
Fields of papers citing papers by Afiahayati
This network shows the impact of papers produced by Afiahayati. 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 Afiahayati. The network helps show where Afiahayati may publish in the future.
Co-authors
The 25 scholars most cited alongside Afiahayati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 80 | |
| 2 | 2018 | 47 | |
| 3 | 2022 | 30 | |
| 4 | 2018 | 30 | |
| 5 | 2018 | 17 | |
| 6 | 2013 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2017 | 3 | |
| 15 | Multiple sequence alignment using Hidden Markov model with augmented set based on BLOSUM 80 and its influence on phylogenetic accuracy | 2010 | 3 |
| 16 | 2020 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Afiahayati
Afiahayati is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Infectious Diseases, having authored 30 papers that have together received 293 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (3 papers), vaccines and immunoinformatics approaches (3 papers), Speech and Audio Processing (2 papers), Algorithms and Data Compression (2 papers), Protein Structure and Dynamics (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Building and Construction (35 citations), Molecular Biology (116 citations), Computer Vision and Pattern Recognition (34 citations), Ecology (38 citations) and Artificial Intelligence (51 citations). Afiahayati has collaborated with scholars based in Indonesia, Japan and Austria. Frequent co-authors include Kengo Sato, Yasubumi Sakakibara, Reza Pulungan, Sri Hartati, Ahmad Ashari, Susamto Somowiyarjo, Sedyo Hartono, Endah Supriyati, Nungki Anggorowati and Titik Nuryastuti. Their work appears in journals such as PeerJ, Data in Brief, Computational and Structural Biotechnology Journal, Virus Genes and DNA Research.
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.