D. Binu
Impact in
- Hardware and Architecture top 5%
- VLSI and Analog Circuit Testing
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- Artificial Intelligence in Healthcare
Papers in
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- VLSI and Analog Circuit Testing 5
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- Face and Expression Recognition 3
- Co-authors
- B S KariyappaB. R. RajakumarS. MuthukrishnanS. PraveenaAloysius GeorgeK. C. RamyaB. SangeethaR. Meenal
In The Last Decade
D. Binu
30 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Hardware and Architecture 105
- Health Information Management 60
- Artificial Intelligence 411
- Computer Vision and Pattern Recognition 185
- Industrial and Manufacturing Engineering 82
Countries citing papers authored by D. Binu
This map shows the geographic impact of D. Binu'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 D. Binu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Binu more than expected).
Fields of papers citing papers by D. Binu
This network shows the impact of papers produced by D. Binu. 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 D. Binu. The network helps show where D. Binu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Binu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 93 | |
| 9 | Artificial Intelligence in Data Mining: Theories and Applications | 2021 | 7 |
| 10 | 2020 | 67 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 213 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 136 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 10 | |
| 18 | 2014 | 76 | |
| 19 | 2013 | 16 | |
| 20 | 2012 | 6 |
About D. Binu
D. Binu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Information Systems, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (6 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), VLSI and Analog Circuit Testing (5 papers), Advanced Clustering Algorithms Research (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Data Mining Algorithms and Applications (3 papers), Face and Expression Recognition (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Hardware and Architecture (105 citations), Health Information Management (60 citations), Artificial Intelligence (411 citations), Computer Vision and Pattern Recognition (185 citations) and Industrial and Manufacturing Engineering (82 citations). D. Binu has collaborated with scholars based in India, Nepal and Oman. Frequent co-authors include B S Kariyappa, B. R. Rajakumar, S. Muthukrishnan, S. Praveena, Aloysius George, K. C. Ramya, B. Sangeetha, R. Meenal, Rajasekaran Ekambaram and K. Vinoth Kumar. Their work appears in journals such as Kybernetes, IEEE Transactions on Industrial Electronics, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Indian Journal of Science and Technology 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.