Devvi Sarwinda
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
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- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
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- Retinal Imaging and Analysis 13
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- Artificial Intelligence in Healthcare 8
- Co-authors
- Alhadi Bustamam (44 shared papers)Pinkie Anggia (1 shared paper)Titin Siswantining (21 shared papers)Aniati Murni Arymurthy (3 shared papers)Zuherman Rustam (5 shared papers)Arry Yanuar (7 shared papers)Ari Wibisono (4 shared papers)Wibowo Mangunwardoyo (4 shared papers)
- Journals
- Mathematical Biosciences & Engineering (2 papers)Journal Of Big Data (2 papers)Knowledge-Based Systems (1 paper)Journal of Artificial Intelligence and Soft Computing Research (1 paper)Symmetry (1 paper)
- Partner nations
- Indonesia
In The Last Decade
Devvi Sarwinda
75 papers receiving 971 citations
Devvi Sarwinda's Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 309
- Radiology, Nuclear Medicine and Imaging 181
- Health Information Management 67
- Computer Vision and Pattern Recognition 181
- Health Informatics 11
Countries citing papers authored by Devvi Sarwinda
This map shows the geographic impact of Devvi Sarwinda'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 Devvi Sarwinda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devvi Sarwinda more than expected).
Fields of papers citing papers by Devvi Sarwinda
This network shows the impact of papers produced by Devvi Sarwinda. 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 Devvi Sarwinda. The network helps show where Devvi Sarwinda may publish in the future.
Co-authors
The 19 scholars most cited alongside Devvi Sarwinda, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning in Image Classification using Residual Network (ResNet) Variants for Detection of Colorectal Cancer Hit paper breakdown → | 2021 | 391 |
| 2 | 2017 | 38 | |
| 3 | 2020 | 38 | |
| 4 | 2016 | 35 | |
| 5 | 2013 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2013 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 13 |
About Devvi Sarwinda
Devvi Sarwinda is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management, Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability, having authored 82 papers that have together received 1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Retinal Imaging and Analysis (13 papers), Computational Drug Discovery Methods (9 papers), Artificial Intelligence in Healthcare (8 papers), Data Mining and Machine Learning Applications (7 papers), Dementia and Cognitive Impairment Research (6 papers), Mosquito-borne diseases and control (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (309 citations), Radiology, Nuclear Medicine and Imaging (181 citations), Health Information Management (67 citations), Computer Vision and Pattern Recognition (181 citations) and Health Informatics (11 citations). Devvi Sarwinda has collaborated with scholars based in Indonesia. Frequent co-authors include Alhadi Bustamam, Pinkie Anggia, Titin Siswantining, Aniati Murni Arymurthy, Zuherman Rustam, Arry Yanuar, Ari Wibisono, Wibowo Mangunwardoyo, Hengki Tasman and Yekti Widyaningsih. Their work appears in journals such as Mathematical Biosciences & Engineering, Journal Of Big Data, Knowledge-Based Systems, Journal of Artificial Intelligence and Soft Computing Research and Symmetry.
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.