Chiranjibi Sitaula
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Virology top 5%
- Plant Science
- Co-authors
- Tej Bahadur ShahiMohammad Belayet HossainSunil AryalJagannath AryalFaezeh MarzbanradWilliam GuoArjun NeupaneAlejandro C. Frery
- Topics
- Phonocardiography and Auscultation Techniques (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)Topic Modeling (5 papers)
In The Last Decade
Chiranjibi Sitaula
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 357
- Radiology, Nuclear Medicine and Imaging 256
- Computer Vision and Pattern Recognition 200
- Virology 166
- Plant Science 114
Countries citing papers authored by Chiranjibi Sitaula
This map shows the geographic impact of Chiranjibi Sitaula'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 Chiranjibi Sitaula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiranjibi Sitaula more than expected).
Fields of papers citing papers by Chiranjibi Sitaula
This network shows the impact of papers produced by Chiranjibi Sitaula. 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 Chiranjibi Sitaula. The network helps show where Chiranjibi Sitaula may publish in the future.
Co-authorship network of co-authors of Chiranjibi Sitaula
This figure shows the co-authorship network connecting the top 25 collaborators of Chiranjibi Sitaula. A scholar is included among the top collaborators of Chiranjibi Sitaula 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 Chiranjibi Sitaula. Chiranjibi Sitaula 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 | 16 | |
| 4 | 5 | |
| 5 | 59 | |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 93 | |
| 12 | 5 | |
| 13 | Monkeypox Virus Detection Using Pre-trained Deep Learning-based Approachesbreakdown → | 175 |
| 14 | 17 | |
| 15 | 77 | |
| 16 | 32 | |
| 17 | 29 | |
| 18 | 18 | |
| 19 | 225 | |
| 20 | An analysis of Early Stopping and Dropout regularization in deep learning | 4 |
About Chiranjibi Sitaula
Chiranjibi Sitaula is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Pharmacy, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Virology (166 citations), Health Informatics (38 citations) and Artificial Intelligence (357 citations). Chiranjibi Sitaula has collaborated with scholars based in Australia, Nepal and Canada. Frequent co-authors include Tej Bahadur Shahi, Mohammad Belayet Hossain, Sunil Aryal, Jagannath Aryal, Faezeh Marzbanrad, William Guo, Arjun Neupane, Alejandro C. Frery, Yong Xiang and Xuequan Lu. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.