H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 42 Citations 7,088 254 World Ranking 2347 National Ranking 30

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Quantum mechanics

Chandan Chakraborty mainly investigates Control theory, Control engineering, Stator, Induction motor and Voltage. Chandan Chakraborty specializes in Control theory, namely Control theory. He works mostly in the field of Control theory, limiting it down to concerns involving MATLAB and, occasionally, Counter-electromotive force.

His Control engineering study combines topics in areas such as Vector control, MRAS, AC power and Artificial neural network. Chandan Chakraborty combines subjects such as Bearing, Nuclear magnetic resonance, Rotor and Electromagnet with his study of Stator. While the research belongs to areas of Induction motor, Chandan Chakraborty spends his time largely on the problem of Rotating reference frame, intersecting his research to questions surrounding Current, Signal and Convergence.

His most cited work include:

  • Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power (260 citations)
  • A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers (256 citations)
  • A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives (139 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Control theory, Voltage, Electronic engineering, Artificial intelligence and Capacitor. His Control theory study combines topics from a wide range of disciplines, such as Control engineering, Induction motor, AC power and Stator. Chandan Chakraborty has included themes like MRAS, Steady state, Harmonics, Adaptive control and Adaptive system in his AC power study.

The various areas that he examines in his Electronic engineering study include Three-phase, Topology, Forward converter, Photovoltaic system and Active filter. His Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition. His Capacitor research is multidisciplinary, incorporating perspectives in Pulse-width modulation, Inductor and Waveform.

He most often published in these fields:

  • Control theory (37.02%)
  • Voltage (21.37%)
  • Electronic engineering (20.61%)

What were the highlights of his more recent work (between 2016-2021)?

  • Voltage (21.37%)
  • Control theory (37.02%)
  • Electrical engineering (14.12%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Voltage, Control theory, Electrical engineering, Capacitor and Artificial intelligence. His study in Voltage focuses on Inverter in particular. His work carried out in the field of Control theory brings together such families of science as Induction motor, Voltage regulation, Pulse-width modulation, AC power and Stator.

His Electrical engineering research includes themes of Power and Generator. Chandan Chakraborty has researched Capacitor in several fields, including Open-loop controller and Topology. His Artificial intelligence study incorporates themes from Breast cancer, Computer vision and Pattern recognition.

Between 2016 and 2021, his most popular works were:

  • A Carrier-Based PWM Scheme for Neutral Point Voltage Balancing in Three-Level Inverter Extending to Full Power Factor Range (44 citations)
  • New Voltage Control Strategies for VSC-Based DG Units in an Unbalanced Microgrid (40 citations)
  • A New Asymmetric Multilevel Inverter Topology Suitable for Solar PV Applications With Varying Irradiance (36 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Artificial intelligence
  • Quantum mechanics

Chandan Chakraborty spends much of his time researching Control theory, Voltage, Power, Artificial intelligence and Stator. His Control theory research incorporates elements of Pulse-width modulation, Voltage regulation, Microgrid and AC power. The various areas that Chandan Chakraborty examines in his Pulse-width modulation study include Power factor, Induction motor and Inverter.

His Voltage study integrates concerns from other disciplines, such as MATLAB and Electric power transmission. The study incorporates disciplines such as Retinal and Computer vision in addition to Artificial intelligence. His Stator study also includes

  • Rotor together with Excitation,
  • Converters which intersects with area such as Tuned filter.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power

S. Maiti;C. Chakraborty;Y. Hori;M.C. Ta.
IEEE Transactions on Industrial Electronics (2008)

389 Citations

A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers

A Bhattacharya;C Chakraborty.
IEEE Transactions on Industrial Electronics (2011)

366 Citations

Fast efficiency optimization techniques for the indirect vector-controlled induction motor drives

C. Chakraborty;Y. Hori.
IEEE Transactions on Industry Applications (2003)

211 Citations

Application of principal component analysis to ECG signals for automated diagnosis of cardiac health

Roshan Joy Martis;U. Rajendra Acharya;K. M. Mandana;A. K. Ray.
Expert Systems With Applications (2012)

209 Citations

A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives

A. V. Ravi Teja;C. Chakraborty;S. Maiti;Y. Hori.
IEEE Transactions on Industrial Electronics (2012)

196 Citations

Parallel-Connected Shunt Hybrid Active Power Filters Operating at Different Switching Frequencies for Improved Performance

A. Bhattacharya;C. Chakraborty;S. Bhattacharya.
IEEE Transactions on Industrial Electronics (2012)

187 Citations

Cardiac decision making using higher order spectra

Roshan Joy Martis;U. Rajendra Acharya;U. Rajendra Acharya;K. M. Mandana;Ajoy Kumar Ray.
Biomedical Signal Processing and Control (2013)

180 Citations

Machine learning approach for automated screening of malaria parasite using light microscopic images

Dev Kumar Das;Madhumala Ghosh;Mallika Pal;Asok K. Maiti.
Micron (2013)

171 Citations

Application of higher order cumulant features for cardiac health diagnosis using ECG signals.

Roshan Joy Martis;U. Rajendra Acharya;U. Rajendra Acharya;Choo Min Lim;K. M. Mandana.
International Journal of Neural Systems (2013)

148 Citations

A New Multilevel Inverter Topology With Self-Balancing Level Doubling Network

Sumit K. Chattopadhyay;Chandan Chakraborty.
IEEE Transactions on Industrial Electronics (2014)

143 Citations

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