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Widanalage Dhammika Widanage

Widanalage Dhammika Widanage

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
5760
World Ranking
5513
National Ranking
280

Widanalage Dhammika Widanage publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Widanalage Dhammika Widanage sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 99 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Widanalage Dhammika Widanage D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Widanalage Dhammika Widanage sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 35 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Widanalage Dhammika Widanage is affiliated with the University of Warwick in the United Kingdom and focuses primarily on engineering research, with a specialization in electrical and electronic engineering. Their scholarly contributions encompass a broad range of topics related to battery technologies and related engineering disciplines.

The main research topics covered by Widanage include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Fault Detection and Control Systems
  • Electric Vehicles and Infrastructure
  • Extraction and Separation Processes
  • Reliability and Maintenance Optimization

The scientist's work has a significant emphasis on lithium-ion batteries, battery aging, and prediction methodologies. Selected recent papers demonstrate the focus and scope of their research:

  • "A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery" (2020), published in IEEE Transactions on Industrial Electronics
  • "Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models" (2020), published in Journal of The Electrochemical Society
  • "Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems" (2020), published in Energy and AI
  • "Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction" (2020), published in Journal of Power Sources
  • "Model Migration Neural Network for Predicting Battery Aging Trajectories" (2020), published in IEEE Transactions on Transportation Electrification

Widanage frequently publishes in the following venues:

  • Journal of Energy Storage
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • ECS Meeting Abstracts
  • Zenodo (CERN European Organization for Nuclear Research)

The scientist collaborates regularly with a number of other researchers, indicating a collaborative approach within the battery and energy research community. Frequent co-authors include:

  • Ferran Brosa Planella
  • James Marco
  • Emma Kendrick
  • Kailong Liu
  • Kieran O'Regan

Widanalage Dhammika Widanage's research contributions relate closely to advancing experimental techniques, integrating artificial intelligence in battery management, and enhancing understanding of battery aging and reliability. Their work spans interdisciplinary subfields such as automotive engineering, control and systems engineering, mechanical engineering, and risk and quality management within engineering.

Best Publications

  • A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

    Kailong Liu;Yunlong Shang;Quan Ouyang;Widanalage Dhammika Widanage

  • A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems

    Carlos Pastor-Fernández;Kotub Uddin;Gael H. Chouchelamane;W. Dhammika Widanage

  • Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

    Kailong Liu;Yi Li;Xiaosong Hu;Mattin Lucu

  • On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system

    Kotub Uddin;Tim Jackson;Widanalage Dhammika Widanage;Gael Chouchelamane

  • A study of the open circuit voltage characterization technique and hysteresis assessment of lithium-ion cells

    Anup Barai;W. Dhammika Widanage;James Marco;Andrew McGordon

  • Characterising Lithium-Ion Battery Degradation through the Identification and Tracking of Electrochemical Battery Model Parameters

    Kotub Uddin;Surak Perera;Widanalage Dhammika Widanage;Limhi Somerville

  • Critical review of non-invasive diagnosis techniques for quantification of degradation modes in lithium-ion batteries

    Carlos Pastor-Fernández;Tung Fai Yu;W. Dhammika Widanage;James Marco

  • A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System

    Carlos Pastor-Fernandez;Thomas Bruen;Widanalage Dhammika Widanage;Miguel-Angel Gama-Valdez

  • Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

    Kailong Liu;Xiaosong Hu;Huiyu Zhou;Lei Tong

  • An evaluation study of different modelling techniques for calendar ageing prediction of lithium-ion batteries

    Kailong Liu;T.R. Ashwin;Xiaosong Hu;Mattin Lucu

  • A new approach to the internal thermal management of cylindrical battery cells for automotive applications

    Daniel Worwood;Quirin Kellner;Malgorzata Wojtala;Widanalage Dhammika Widanage

  • Recovering large-scale battery aging dataset with machine learning.

    Xiaopeng Tang;Kailong Liu;Kang Li;Widanalage Dhammika Widanage

  • Battery energy storage system modeling : investigation of intrinsic cell-to-cell variations

    Matthieu Dubarry;Carlos Pastor-Fernández;George Baure;Tung Fai Yu

  • Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 2 : model estimation

    Widanalage Dhammika Widanage;Anup Barai;G.H. Chouchelamane;Kotub Uddin

  • Real-time aging trajectory prediction using a base model-oriented gradient-correction particle filter for Lithium-ion batteries

    Xiaopeng Tang;Kailong Liu;Xin Wang;Boyang Liu

  • Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 1: Signal design

    Widanalage Dhammika Widanage;Anup Barai;G. H. Chouchelamane;Kotub Uddin

  • Lithium-ion battery cathode and anode potential observer based on reduced-order electrochemical single particle model

    Liuying Li;Yaxing Ren;Kieran O'Regan;Upender Rao Koleti

  • A study of reduced battery degradation through state-of-charge pre-conditioning for vehicle-to-grid operations

    Truong Minh Ngoc Bui;Muhammad Sheikh;Quang Truong Dinh;Aniruddha Gupta

  • Multi-scale quantification and modeling of aged nanostructured silicon-based composite anodes

    Thomas Vorauer;Praveen Kumar;Christopher L. Berhaut;Fereshteh F. Chamasemani

  • Battery cycle life test development for high-performance electric vehicle applications

    Quirin Kellner;Elham Hosseinzadeh;Gael Chouchelamane;Widanalage Dhammika Widanage

  • Nonlinear system-identification of the filling phase of a wet-clutch system

    W.D. Widanage;J. Stoev;A. Van Mulders;J. Schoukens

Frequent Co-Authors

James Marco
James Marco University of Warwick
Emma Kendrick
Emma Kendrick University of Birmingham
Johan Schoukens
Johan Schoukens Eindhoven University of Technology
Noshin Omar
Noshin Omar Vrije Universiteit Brussel
Furong Gao
Furong Gao Hong Kong University of Science and Technology
Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel
Truong Quang Dinh
Truong Quang Dinh University of Warwick
Yunlong Shang
Yunlong Shang Shandong University
Dan J. L. Brett
Dan J. L. Brett University College London
Paul R. Shearing
Paul R. Shearing University College London

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