Afiahayati
Impact in
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- Traffic Prediction and Management Techniques
Papers in
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- Machine Learning in Bioinformatics 5
- Genomics and Phylogenetic Studies 5
- vaccines and immunoinformatics approaches 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Co-authors
- Yasubumi Sakakibara (2 shared papers)Kengo Sato (2 shared papers)Reza Pulungan (1 shared paper)Sri Hartati (3 shared papers)Endah Supriyati (3 shared papers)Mohamad S. Hakim (3 shared papers)Edwin Widyanto Daniwijaya (3 shared papers)Siti Subandiyah (1 shared paper)
In The Last Decade
Afiahayati
21 papers receiving 231 citations
Peers
Comparison fields: 5 of 85
- Building and Construction 29
- Computer Vision and Pattern Recognition 29
- Molecular Biology 98
- Artificial Intelligence 45
- Transportation 9
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2018 | 38 | |
| 3 | 2018 | 28 | |
| 4 | 2022 | 25 | |
| 5 | 2018 | 15 | |
| 6 | 2013 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 4 | |
| 12 | Multiple sequence alignment using Hidden Markov model with augmented set based on BLOSUM 80 and its influence on phylogenetic accuracy | 2010 | 3 |
| 13 | 2019 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Afiahayati
Afiahayati is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Animal Science and Zoology and Signal Processing, having authored 28 papers that have together received 238 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Genomics and Phylogenetic Studies (5 papers), vaccines and immunoinformatics approaches (4 papers), Animal Virus Infections Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers) and Data Mining and Machine Learning Applications (2 papers). The work is most often cited by research in Building and Construction (29 citations), Computer Vision and Pattern Recognition (29 citations), Molecular Biology (98 citations), Artificial Intelligence (45 citations) and Transportation (9 citations). Afiahayati has collaborated with scholars based in Indonesia, Japan and Austria. Frequent co-authors include Yasubumi Sakakibara, Kengo Sato, Reza Pulungan, Sri Hartati, Endah Supriyati, Mohamad S. Hakim, Edwin Widyanto Daniwijaya, Siti Subandiyah, Susamto Somowiyarjo and Dwi Aris Agung Nugrahaningsih. Their work appears in journals such as Data in Brief, PeerJ, Virus Genes, DNA Research and Computational and Structural Biotechnology Journal.
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.