World's Best Scientists 2026 revealed!
Daniel-Ioan Stroe

Daniel-Ioan Stroe

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
13539
World Ranking
1789
National Ranking
23

Daniel-Ioan Stroe publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Daniel-Ioan Stroe sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 257 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Daniel-Ioan Stroe D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel-Ioan Stroe sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Daniel-Ioan Stroe is affiliated with Aalborg University in Denmark and has contributed extensively to the field of engineering, with a particular focus on electrical and electronic engineering as well as automotive engineering. Their research spans several subfields including control and systems engineering, safety, risk, reliability and quality, and mechanical engineering.

The scientist's work centers around advanced battery technologies and materials, electric vehicles and infrastructure, fault detection and control systems, and reliability and maintenance optimization. The research topics they frequently address include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Reliability and Maintenance Optimization
  • Electric and Hybrid Vehicle Technologies

Several recent papers authored or co-authored by Daniel-Ioan Stroe include:

  • "A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery," 2021, Applied Energy
  • "An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation," 2022, Energy
  • "Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations," 2023, Energy
  • "An Enhanced Equivalent Circuit Model With Real-Time Parameter Identification for Battery State-of-Charge Estimation," 2021, IEEE Transactions on Industrial Electronics
  • "Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities," 2023, Progress in Energy and Combustion Science

Frequent co-authors collaborating with Daniel-Ioan Stroe include:

  • Shunli Wang
  • Carlos Fernández
  • Remus Teodorescu
  • Jinhao Meng
  • Søren Byg Vilsen

The scientist frequently publishes in academic venues such as:

  • Energies
  • Journal of Energy Storage
  • Batteries
  • Journal of Energy Chemistry
  • ECS Meeting Abstracts

Daniel-Ioan Stroe has also authored books published by notable publishers. These include:

  • Battery System Modeling, Elsevier BV, 2021
  • State Estimation Strategies in Lithium-ion Battery Management Systems, Elsevier BV, 2023
  • AI for Status Monitoring of Utility Scale Batteries, Institution of Engineering and Technology, 2022

Best Publications

  • An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation

    Unknown

  • Sizing of an Energy Storage System for Grid Inertial Response and Primary Frequency Reserve

    Vaclav Knap;Sanjay K. Chaudhary;Daniel-Ioan Stroe;Maciej Swierczynski

  • Battery second life: Hype, hope or reality? A critical review of the state of the art

    Egoitz Martinez-Laserna;Inigo Gandiaga;Elixabet Sarasketa-Zabala;Julia Badeda

  • Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective

    Daniel-Ioan Stroe;Vaclav Knap;Maciej Swierczynski;Ana-Irina Stroe

  • An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery

    Jinhao Meng;Mattia Ricco;Guangzhao Luo;Maciej Swierczynski

  • Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles

    Jinhao Meng;Guangzhao Luo;Mattia Ricco;Maciej Swierczynski

  • A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

    Xin Sui;Shan He;Søren Byg Vilsen;Jinhao Meng

  • An interdisciplinary review of energy storage for communities: Challenges and perspectives

    David Parra;Maciej Swierczynski;Daniel I. Stroe;Stuart A. Norman

  • Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations

    Unknown

  • Technical Viability of Battery Second Life: A Study From the Ageing Perspective

    Egoitz Martinez-Laserna;Elixabet Sarasketa-Zabala;Igor Villarreal Sarria;Daniel-Ioan Stroe

  • An Enhanced Equivalent Circuit Model with Real-Time Parameter Identification for Battery State-of-Charge Estimation

    Farshid Naseri;Erik Schaltz;Daniel-Ioan Stroe;Alejandro Gismero

  • Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

    João Pedro Rodrigues Martins;Sergiu Viorel Spataru;Dezso Séra;Daniel-Ioan Stroe

  • Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

    Unknown

  • Lithium ion battery chemistries from renewable energy storage to automotive and back-up power applications — An overview

    Ana-Irina Stan;Maciej Jozef Swierczynski;Daniel Ioan Stroe;Remus Teodorescu

  • A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model

    Jinhao Meng;Daniel-Ioan Stroe;Mattia Ricco;Guangzhao Luo

  • Understanding the mechanism of capacity increase during early cycling of commercial NMC/graphite lithium-ion batteries

    Unknown

  • Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants

    Daniel Ioan Stroe;Maciej Jozef Swierczynski;Ana-Irina Stan;Remus Teodorescu

  • A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm

    Shunli Wang;Shunli Wang;Carlos Fernandez;Chunmei Yu;Yongcun Fan

  • Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique

    Daniel-Ioan Stroe;Erik Schaltz

  • Multiobjective Optimization of Data-Driven Model for Lithium-Ion Battery SOH Estimation With Short-Term Feature

    Lei Cai;Jinhao Meng;Daniel-Ioan Stroe;Jichang Peng

  • Selection and Performance-Degradation Modeling of LiMO $_{2}$ /Li $_{4}$ Ti $_{5}$ O $_{12}$ and LiFePO $_{4}$ /C Battery Cells as Suitable Energy Storage Systems for Grid Integration With Wind Power Plants: An Example for the Primary Frequency Regulation Service

    Maciej Swierczynski;Daniel Ioan Stroe;Ana-Irina Stan;Remus Teodorescu

  • Lifetime Estimation of the Nanophosphate $\hbox{LiFePO}_{4}\hbox{/C}$ Battery Chemistry Used in Fully Electric Vehicles

    Maciej Swierczynski;Daniel-Ioan Stroe;Ana-Irina Stan;Remus Teodorescu

  • Sizing Study of Second Life Li-ion Batteries for Enhancing Renewable Energy Grid Integration

    Andoni Saez-de-Ibarra;Egoitz Martinez-Laserna;Daniel-Ioan Stroe;Maciej Swierczynski

  • Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine

    Jinhao Meng;Lei Cai;Guangzhao Luo;Daniel-Ioan Stroe

Frequent Co-Authors

Remus Teodorescu
Remus Teodorescu Aalborg University
Maciej Swierczynski
Maciej Swierczynski Aalborg University
Erik Schaltz
Erik Schaltz Aalborg University
Søren Knudsen Kær
Søren Knudsen Kær Aalborg University
Søren Juhl Andreasen
Søren Juhl Andreasen Aalborg University
Pedro Rodriguez
Pedro Rodriguez Luxembourg Institute of Science and Technology
Florin Iov
Florin Iov Aalborg University
Dezso Sera
Dezso Sera Queensland University of Technology
Noshin Omar
Noshin Omar Vrije Universiteit Brussel
Dirk Uwe Sauer
Dirk Uwe Sauer RWTH Aachen University

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