D. Binu

30 papers receiving 1.0k citations

D. Binu's Hit Papers

RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits 2018 · 260 citations
2600+2+5Years since publication50100150200250

Peers

D. Binu
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
Replace Amit Chhabra with:
Amit Chhabra India
Arpit Jain India
Samih M. Mostafa Egypt
Ayman El‐Sayed Egypt
Muhammad Zakarya Pakistan
Vitaly Levashenko Slovakia
Tao Ye China
Imed Ben Dhaou Saudi Arabia
Ghulam Abbas Pakistan
Raj Rajkumar India
D. Binu relative to Amit Chhabra India Amit Chhabra's profile →
Citations per field
00.5×3.2×
Amit Chhabra · 1×
Citations per year

Countries citing papers authored by D. Binu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with D. Binu Line = papers co-authored together D. Binu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits
Hit paper breakdown →
2018260
2 2019213
3 2018136
4 202293
5 201793
6 201476
7 202067
8 201239
9 201535
10 201227
11 201316
12 202211
13 202210
14 201510
15 202110
16
Artificial Intelligence in Data Mining: Theories and Applications
20217
17 20126
18 20136
19 20225
20 20183

About D. Binu

D. Binu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Hardware and Architecture, 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), Face and Expression Recognition (3 papers), Data Mining Algorithms and Applications (3 papers) and Data Management and Algorithms (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, Prawin Angel Michael, R. Meenal, K. Vinoth Kumar, K. C. Ramya and Rajasekaran Ekambaram. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Electronics, Indian Journal of Science and Technology, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 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.

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