Apinan Hasthanasombat
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Cecilia MascoloAndreas GrammenosPietro CicutaXia TongDimitris SpathisJing HanJagmohan ChauhanChloë Brown
- Topics
- COVID-19 diagnosis using AI (5 papers)Music and Audio Processing (4 papers)Phonocardiography and Auscultation Techniques (3 papers)
- Partner nations
- United KingdomGermanyChina
In The Last Decade
Apinan Hasthanasombat
7 papers receiving 186 citations
Peers
Comparison fields: 5 of 48
- Signal Processing 89
- Radiology, Nuclear Medicine and Imaging 78
- Pulmonary and Respiratory Medicine 64
- Artificial Intelligence 59
- Computer Vision and Pattern Recognition 16
Countries citing papers authored by Apinan Hasthanasombat
This map shows the geographic impact of Apinan Hasthanasombat'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 Apinan Hasthanasombat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apinan Hasthanasombat more than expected).
Fields of papers citing papers by Apinan Hasthanasombat
This network shows the impact of papers produced by Apinan Hasthanasombat. 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 Apinan Hasthanasombat. The network helps show where Apinan Hasthanasombat may publish in the future.
Co-authorship network of co-authors of Apinan Hasthanasombat
This figure shows the co-authorship network connecting the top 25 collaborators of Apinan Hasthanasombat. A scholar is included among the top collaborators of Apinan Hasthanasombat 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 Apinan Hasthanasombat. Apinan Hasthanasombat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 23 | |
| 3 | 59 | |
| 4 | 1 | |
| 5 | COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening | 28 |
| 6 | 63 | |
| 7 | 5 |
About Apinan Hasthanasombat
Apinan Hasthanasombat is a scholar working on Signal Processing, Radiology, Nuclear Medicine and Imaging and Transportation, having authored 7 papers that have together received 186 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Music and Audio Processing (4 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Signal Processing (89 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Pharmacy (13 citations). Apinan Hasthanasombat has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Cecilia Mascolo, Andreas Grammenos, Pietro Cicuta, Xia Tong, Dimitris Spathis, Jing Han, Jagmohan Chauhan, Chloë Brown, R. Andrés Floto and Ting Dang. Their work appears in journals such as Journal of Medical Internet Research, npj Digital Medicine and Frontiers in Digital Health.
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.