World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
4717
World Ranking
7471
National Ranking
464

Hui Long 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 Hui Long 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Hui Long 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 Hui Long 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Hui Long is affiliated with the University of Sheffield in the United Kingdom and focuses research primarily within the field of Engineering. Their work spans several subfields, including Mechanical Engineering, Mechanics of Materials, Geophysics, Environmental Chemistry, and Geology.

The research topics explored by Hui Long cover a diverse range of technical and scientific areas. Key topics include:

  • Metal Forming Simulation Techniques
  • Methane Hydrates and Related Phenomena
  • Seismic Imaging and Inversion Techniques
  • Geological and Geophysical Studies
  • Metallurgy and Material Forming
  • Gear and Bearing Dynamics Analysis
  • Mechanical stress and fatigue analysis

Hui Long has contributed to multiple publication venues, with frequent appearances in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Journal of Materials Processing Technology
  • MATEC Web of Conferences
  • Tribology International

Recent papers authored by Hui Long include:

  • "New rosette tools for developing rotational vibration-assisted incremental sheet forming," 2024, Journal of Materials Processing Technology
  • "Loading on a wind turbine high-speed shaft gearbox bearing: Ultrasonic field measurements and predictions from a multi-body simulation," 2023, Tribology International
  • "An analytical model integrated with toolpath design for wrinkling prediction in conventional spinning," 2021, Journal of Materials Processing Technology
  • "A review of wind turbine main bearings: design, operation, modelling, damage mechanisms and fault detection," 2020, Wind energy science
  • "Measurement of roller load, load variation, and lubrication in a wind turbine gearbox high speed shaft bearing in the field," 2020, Tribology International

Collaborations with other researchers are a notable aspect of Hui Long's work. Frequent co-authors include:

  • P. B. Flemings
  • Jan H. Behrmann
  • Cédric M. John
  • Gerardo J. Iturrino
  • Yasutaka Aizawa

The scope of Hui Long's research demonstrates a concentration on the intersection of mechanical and materials engineering with geophysical applications. Their recent works include advancements in bearing dynamics, fatigue analysis, and tool development for material forming technologies.

Best Publications

  • Effects of welding speed, energy input and heat source distribution on temperature variations in butt joint welding

    D. Gery;H. Long;P. Maropoulos

  • Monitoring wind turbine gearboxes

    Yanhui Feng;Yingning Qiu;Christopher J. Crabtree;Hui Long

  • A review of process advancement of novel metal spinning

    Qinxiang Xia;Gangfeng Xiao;Hui Long;Xiuquan Cheng

  • Prediction of welding distortion in butt joint of thin plates.

    H. Long;D. Gery;A. Carlier;Paul Maropoulos

  • Early experiences with UK round 1 offshore wind farms

    Y. Feng;P. J. Tavner;H. Long

  • Investigation of material deformation in multi-pass conventional metal spinning

    Lin Wang;Hui Long

  • Methodology and results of the reliawind reliability field study

    M. Wilkinson;B. Hendriks;F. Spinato;K. Harman

  • Operating temperatures of oil-lubricated medium-speed gears: numerical models and experimental results

    H Long;A A Lord;D T Gethin;B J Roylance

  • A study of effects of roller path profiles on tool forces and part wall thickness variation in conventional metal spinning

    L. Wang;H. Long

  • Investigation of material deformation mechanism in double side incremental sheet forming

    B. Lu;B. Lu;Y. Fang;D.K. Xu;J. Chen

  • Enhancement of process capabilities in electrically-assisted double sided incremental forming

    D.K. Xu;B. Lu;B. Lu;T.T. Cao;H. Zhang

  • A review of wind turbine main bearings: design, operation, modelling, damage mechanisms and fault detection

    Edward Hart;Benjamin Clarke;Gary Nicholas;Abbas Kazemi Amiri

  • Characterisation of white etching crack damage in wind turbine gearbox bearings

    T. Bruce;E. Rounding;H. Long;R.S. Dwyer-Joyce

  • An analytic model for tube bending springback considering different parameter variations of Ti-alloy tubes

    Mei Zhan;Yan Wang;He Yang;Hui Long

  • Reliability Analysis and Prediction of Wind Turbine Gearboxes

    K. Smolders;H. Long;Y. Feng;P. Tavner

  • Use of SCADA and CMS signals for failure detection and diagnosis of a wind turbine gearbox

    Y. Feng;Y. Qiu;C.J. Crabtree;H. Long

  • Flow characteristics and intrinsic workability of IN718 superalloy

    Fei Chen;Juan Liu;Hengan Ou;Bin Lu;Bin Lu

  • A constitutive model of polyether-ether-ketone (PEEK)

    Fei Chen;Hengan Ou;Bin Lu;Hui Long

  • Titanium based cranial reconstruction using incremental sheet forming

    B. Lu;B. Lu;H. Ou;S. Q. Shi;H. Long

  • Evaluation of deformation stability and fracture mechanism in incremental sheet forming

    S. Ai;S. Ai;B. Lu;B. Lu;J. Chen;H. Long

  • Using an FMEA method to compare prospective wind turbine design reliabilities

    P J Tavner;A Higgins;H Arabian;H Long

  • Effects of the roller feed ratio on wrinkling failure in conventional spinning of a cylindrical cup

    L Wang;H Long;D Ashley;M Roberts

  • Roller path design by tool compensation in multi-pass conventional spinning

    Lin Wang;Hui Long;Hui Long

Frequent Co-Authors

Hengan Ou
Hengan Ou University of Nottingham
Rob Dwyer-Joyce
Rob Dwyer-Joyce University of Sheffield
Peter Tavner
Peter Tavner Durham University
Jun Chen
Jun Chen Nankai University
Jian Cao
Jian Cao Northwestern University
Mei Zhan
Mei Zhan Northwestern Polytechnical University
Lin Hua
Lin Hua Wuhan University of Technology
Mw W. Fu
Mw W. Fu Hong Kong Polytechnic University
He Yang
He Yang Northwestern Polytechnical University
Janusz Bialek
Janusz Bialek Imperial College London

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