N. Yuvaraj
- Civil and Structural Engineering top 5%
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Mechanical Engineering
- Environmental Engineering
- Topics
- Artificial Intelligence in Healthcare (4 papers)Digital Imaging for Blood Diseases (3 papers)Sentiment Analysis and Opinion Mining (3 papers)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
N. Yuvaraj
30 papers receiving 518 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Civil and Structural Engineering 184
- Artificial Intelligence 128
- Health Information Management 109
- Mechanical Engineering 50
- Environmental Engineering 47
Countries citing papers authored by N. Yuvaraj
This map shows the geographic impact of N. Yuvaraj'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 N. Yuvaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Yuvaraj more than expected).
Fields of papers citing papers by N. Yuvaraj
This network shows the impact of papers produced by N. Yuvaraj. 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 N. Yuvaraj. The network helps show where N. Yuvaraj may publish in the future.
Co-authorship network of co-authors of N. Yuvaraj
This figure shows the co-authorship network connecting the top 25 collaborators of N. Yuvaraj. A scholar is included among the top collaborators of N. Yuvaraj 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 N. Yuvaraj. N. Yuvaraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 36 | |
| 8 | 8 | |
| 9 | 52 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | Predicting housing prices using advanced regression techniques | 1 |
| 13 | Enhancing the accuracy of digit recognition using machine learning algorithms | 2 |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 105 | |
| 17 | A Survey on Crop Yield Prediction Models | 4 |
| 18 | A Survey on Leaf Disease Prediction Algorithms using Digital Image Processing | 5 |
| 19 | 13 | |
| 20 | 3 |
About N. Yuvaraj
N. Yuvaraj is a scholar working on Health Information Management, Media Technology and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 554 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Digital Imaging for Blood Diseases (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Health Information Management (109 citations), Civil and Structural Engineering (184 citations) and Artificial Intelligence (128 citations). N. Yuvaraj has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Bubryur Kim, K. R. Sri Preethaa, Dong‐Eun Lee, Gang Hu, K.T. Tse, M. Ramkumar, R.G. Vidhya, M. Balaji, J. Surendiran and M. Saravanan. Their work appears in journals such as Sensors, Automation in Construction and Neural Computing and 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.