Afiahayati
- Molecular Biology
- Artificial Intelligence
- Ecology
- Computer Vision and Pattern Recognition
- Building and Construction
- Co-authors
- Kengo SatoYasubumi SakakibaraReza PulunganSri HartatiEdi WinarkoSiti SubandiyahNungki AnggorowatiSedyo Hartono
- Topics
- Machine Learning in Bioinformatics (5 papers)Genomics and Phylogenetic Studies (5 papers)vaccines and immunoinformatics approaches (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPeerJDNA Research
In The Last Decade
Afiahayati
21 papers receiving 231 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 98
- Artificial Intelligence 45
- Ecology 32
- Computer Vision and Pattern Recognition 29
- Building and Construction 29
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-authorship network of co-authors of Afiahayati
This figure shows the co-authorship network connecting the top 25 collaborators of Afiahayati. A scholar is included among the top collaborators of Afiahayati 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 Afiahayati. Afiahayati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 64 | |
| 19 | Multiple sequence alignment using Hidden Markov model with augmented set based on BLOSUM 80 and its influence on phylogenetic accuracy | 3 |
| 20 | Penerapan Hidden Markov Model Dalam Clustering Sequence Protein Globin | 0 |
About Afiahayati
Afiahayati is a scholar working on Animal Science and Zoology, Signal Processing and Software, 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) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Building and Construction (29 citations), Computer Vision and Pattern Recognition (29 citations) and Molecular Biology (98 citations). Afiahayati has collaborated with scholars based in Indonesia, Japan and Austria. Frequent co-authors include Kengo Sato, Yasubumi Sakakibara, Reza Pulungan, Sri Hartati, Edi Winarko, Siti Subandiyah, Nungki Anggorowati, Sedyo Hartono, Tri Wibawa and Edwin Widyanto Daniwijaya. Their work appears in journals such as SHILAP Revista de lepidopterología, PeerJ 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.