Anshu Singla
Impact in
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- Medical Image Segmentation Techniques
- Media Technology top 5%
Papers in
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- AI in cancer detection 5
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- Medical Image Segmentation Techniques 6
- Image Enhancement Techniques 3
- Co-authors
- Chetna Kaushal (6 shared papers)Swarnajyoti Patra (4 shared papers)Deepika Koundal (2 shared papers)Lorenzo Bruzzone (1 shared paper)Shikha Sharma (1 shared paper)Soheyl Sheikh (2 shared papers)Shivani Jain (1 shared paper)Shalini Garg (1 shared paper)
In The Last Decade
Anshu Singla
36 papers receiving 525 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 162
- Media Technology 61
- Neurology 42
- Artificial Intelligence 161
- Analytical Chemistry 48
Countries citing papers authored by Anshu Singla
This map shows the geographic impact of Anshu Singla'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 Anshu Singla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anshu Singla more than expected).
Fields of papers citing papers by Anshu Singla
This network shows the impact of papers produced by Anshu Singla. 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 Anshu Singla. The network helps show where Anshu Singla may publish in the future.
Co-authors
The 19 scholars most cited alongside Anshu Singla, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 121 | |
| 2 | 2021 | 101 | |
| 3 | 2014 | 68 | |
| 4 | 2021 | 58 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 25 | |
| 7 | 2020 | 21 | |
| 8 | 2014 | 21 | |
| 9 | 2018 | 12 | |
| 10 | 2011 | 12 | |
| 11 | 2010 | 9 | |
| 12 | 2010 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2018 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Anshu Singla
Anshu Singla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 557 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), AI in cancer detection (5 papers), Advanced Image Fusion Techniques (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Remote-Sensing Image Classification (3 papers), Image Enhancement Techniques (3 papers), Smart Agriculture and AI (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Media Technology (61 citations), Neurology (42 citations), Artificial Intelligence (161 citations) and Analytical Chemistry (48 citations). Anshu Singla has collaborated with scholars based in India, Nepal and Italy. Frequent co-authors include Chetna Kaushal, Swarnajyoti Patra, Deepika Koundal, Lorenzo Bruzzone, Shikha Sharma, Soheyl Sheikh, Shivani Jain, Shalini Garg, Rupinder Brar and Deepak Kumar Sharma. Their work appears in journals such as CAAI Transactions on Intelligence Technology, Archives of Computational Methods in Engineering, Soft Computing, Applied Artificial Intelligence and Applied Soft Computing.
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.