Chandan Singh
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Health Informatics top 1%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Bin YuWilliam J. MurdochKarl KumbierReza Abbasi-AslKaramjeet SinghAmandeep KaurAnu BalaJianfeng Gao
- Topics
- Explainable Artificial Intelligence (XAI) (8 papers)Advanced Numerical Analysis Techniques (6 papers)Computer Graphics and Visualization Techniques (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Chandan Singh
42 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 661
- Computer Vision and Pattern Recognition 167
- Molecular Biology 126
- Health Informatics 113
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by Chandan Singh
This map shows the geographic impact of Chandan Singh'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 Chandan Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandan Singh more than expected).
Fields of papers citing papers by Chandan Singh
This network shows the impact of papers produced by Chandan Singh. 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 Chandan Singh. The network helps show where Chandan Singh may publish in the future.
Co-authorship network of co-authors of Chandan Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Chandan Singh. A scholar is included among the top collaborators of Chandan Singh 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 Chandan Singh. Chandan Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 33 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge | 32 |
| 12 | Definitions, methods, and applications in interpretable machine learningbreakdown → | 1251 |
| 13 | Hierarchical interpretations for neural network predictions | 16 |
| 14 | 3 | |
| 15 | Debilitation in tomato (Solanum lycopersicum L.) as result of heat stress | 9 |
| 16 | 7 | |
| 17 | 43 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 4 |
About Chandan Singh
Chandan Singh is a scholar working on Health Informatics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (8 papers), Advanced Numerical Analysis Techniques (6 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Health Informatics (113 citations), Artificial Intelligence (661 citations) and Computer Graphics and Computer-Aided Design (29 citations). Chandan Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Bin Yu, William J. Murdoch, Karl Kumbier, Reza Abbasi-Asl, Karamjeet Singh, Amandeep Kaur, Anu Bala, Jianfeng Gao, Rich Caruana and Ekta Walia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.