Yuyun Hidayat
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Economics and Econometrics top 10%
- Modeling and Simulation top 5%
- Co-authors
- Sukono SukonoAceng SambasSundarapandian VaıdyanathanOmar Guillén-FernándezEsteban Tlelo‐CuautleSen ZhangBassem Abd-El-AttyAhmed A. Abd El‐Latif
- Topics
- Insurance and Financial Risk Management (9 papers)Data Mining and Machine Learning Applications (7 papers)Agricultural risk and resilience (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSustainability
In The Last Decade
Yuyun Hidayat
49 papers receiving 511 citations
Peers
Comparison fields: 5 of 106
- Statistical and Nonlinear Physics 200
- Computer Vision and Pattern Recognition 113
- Computer Networks and Communications 94
- Economics and Econometrics 94
- Modeling and Simulation 61
Countries citing papers authored by Yuyun Hidayat
This map shows the geographic impact of Yuyun Hidayat'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 Yuyun Hidayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuyun Hidayat more than expected).
Fields of papers citing papers by Yuyun Hidayat
This network shows the impact of papers produced by Yuyun Hidayat. 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 Yuyun Hidayat. The network helps show where Yuyun Hidayat may publish in the future.
Co-authorship network of co-authors of Yuyun Hidayat
This figure shows the co-authorship network connecting the top 25 collaborators of Yuyun Hidayat. A scholar is included among the top collaborators of Yuyun Hidayat 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 Yuyun Hidayat. Yuyun Hidayat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 58 | |
| 13 | 130 | |
| 14 | 0 | |
| 15 | Prediksi Jumlah Kasus Aktif COVID-19 di Kota Bandung Menggunakan Metode Long Short Term Memory | 1 |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Improving unprecedented restlessness as the new strong indicator of rice crisis at national level | 2 |
| 20 | 7 |
About Yuyun Hidayat
Yuyun Hidayat is a scholar working on Management Science and Operations Research, Soil Science and Finance, having authored 55 papers that have together received 533 indexed citations. Recurring topics across this work include Insurance and Financial Risk Management (9 papers), Data Mining and Machine Learning Applications (7 papers) and Agricultural risk and resilience (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (200 citations), Modeling and Simulation (61 citations) and Computer Vision and Pattern Recognition (113 citations). Yuyun Hidayat has collaborated with scholars based in Indonesia, Malaysia and India. Frequent co-authors include Sukono Sukono, Aceng Sambas, Sundarapandian Vaıdyanathan, Omar Guillén-Fernández, Esteban Tlelo‐Cuautle, Sen Zhang, Bassem Abd-El-Atty, Ahmed A. Abd El‐Latif, Jumadil Saputra and Mustafa Mamat. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.
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.