D. Binu

28 papers receiving 922 citations

D. Binu's Hit Papers

RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits 2018 · 278 citations
2780+2+5Years since publication50100150200250

Peers

D. Binu
Comparison fields: 5 of 118
  • Hardware and Architecture 113
  • Artificial Intelligence 349
  • Industrial and Manufacturing Engineering 83
  • Health Information Management 31
  • Electrical and Electronic Engineering 348
Replace Samih M. Mostafa with:
Samih M. Mostafa Egypt
Amit Chhabra India
Kun Cao China
Hamid Reza Naji Iran
Mohamad Khairi Ishak Malaysia
Salman A. Khan Saudi Arabia
Sheng Xiao China
He Xu China
João P. P. Gomes Brazil
Yuto Lim Japan
D. Binu relative to Samih M. Mostafa Egypt Samih M. Mostafa's profile →
Citations per field
00.5×10.5×
Samih M. Mostafa · 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 23 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 31 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 →
2018278
2 2019221
3 2022114
4 2017103
5 202068
6 201243
7 201539
8 201229
9 201316
10 201511
11 202211
12 202210
13 202110
14 20129
15 20227
16
Artificial Intelligence in Data Mining: Theories and Applications
20217
17 20136
18 20184
19 20233
20 20163

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 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (6 papers), VLSI and Analog Circuit Testing (5 papers), Advanced Clustering Algorithms Research (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Data Mining Algorithms and Applications (3 papers), Face and Expression Recognition (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (113 citations), Artificial Intelligence (349 citations), Industrial and Manufacturing Engineering (83 citations), Health Information Management (31 citations) and Electrical and Electronic Engineering (348 citations). D. Binu has collaborated with scholars based in India, Oman and Nepal. Frequent co-authors include B S Kariyappa, B. R. Rajakumar, S. Praveena, Aloysius George, K. Vinoth Kumar, R. Meenal, B. Sangeetha, Prawin Angel Michael, K. C. Ramya and B. R. Rajakumar. Their work appears in journals such as Indian Journal of Science and Technology, Expert Systems with Applications, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, IEEE Transactions on Industrial Electronics and Kybernetes.

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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