World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
5487
World Ranking
7425
National Ranking
462

Xue Z. Wang 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 Xue Z. Wang 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: 167 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Xue Z. Wang 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 Xue Z. Wang 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

Xue Z. Wang is affiliated with the University of Leeds in the United Kingdom. Their research primarily focuses on materials science, with an emphasis on materials chemistry as the main subfield of study.

Their work covers several specialized subfields, including:

  • Materials Chemistry
  • Water Science and Technology
  • Physical and Theoretical Chemistry
  • Spectroscopy
  • Analytical Chemistry

Wang's research addresses key topics such as:

  • Crystallization and Solubility Studies
  • Analytical Chemistry and Chromatography
  • Electrostatics and Colloid Interactions
  • Coagulation and Flocculation Studies
  • Image Processing Techniques and Applications
  • Chemical and Physical Properties in Aqueous Solutions
  • Spectroscopy and Chemometric Analyses

Frequent collaborators include Yang Zhang, Guangzheng Zhou, Lingyu Liu, Zihua Wang, and Xiao Juan Liu.

Wang has contributed to numerous publications in respected scientific journals. Notable publication venues with multiple contributions include:

  • Powder Technology
  • Crystals
  • Journal of Chemical & Engineering Data
  • Industrial & Engineering Chemistry Research
  • Journal of Crystal Growth

Recent papers authored or co-authored by Wang are:

  • "Solubility of Benzanilide Crystals in Organic Solvents," 2020, Journal of Chemical & Engineering Data
  • "In Situ Measurement of 3D Crystal Size Distribution by Double-View Image Analysis with Case Study on l-Glutamic Acid Crystallization," 2020, Industrial & Engineering Chemistry Research
  • "Characterization of particle size distribution in slurries using ultrasonic attenuation spectroscopy: Addressing challenges of unknown physical properties," 2021, Powder Technology
  • "Solubility of Dimethyl 2,2'-Azobis(2-methylpropionate) in 15 Pure Solvents and in a Methanol + Water Binary Solvent System," 2020, Journal of Chemical & Engineering Data
  • "Deep learning-based image analysis for in situ microscopic imaging of cell culture process," 2023, Engineering Applications of Artificial Intelligence

Best Publications

  • Multi-scale segmentation image analysis for the in-process monitoring of particle shape with batch crystallisers

    J. Calderon De Anda;X.Z. Wang;K.J. Roberts

  • A new approach to near-infrared spectral data analysis using independent component analysis.

    J. Chen;X. Z. Wang

  • Knowledge discovery from process operational data using PCA and fuzzy clustering

    Y.M. Sebzalli;X.Z. Wang

  • Crystal growth measurement using 2D and 3D imaging and the perspectives for shape control

    Xue Z. Wang;Kevin J. Roberts;Caiyun Ma

  • Data Mining and Knowledge Discovery for Process Monitoring and Control

    Xue Zhang Wang;C. McGreavy

  • Classifying organic crystals via in-process image analysis and the use of monitoring charts to follow polymorphic and morphological changes

    J. Calderon De Anda;X.Z. Wang;X. Lai;K.J. Roberts

  • Statistical Process Control Charts for Batch Operations Based on Independent Component Analysis

    Hamza Albazzaz;Xue Z. Wang

  • Agent-based information flow for process industries' supply chain modelling

    R. García-Flores;X.Z. Wang;G.E. Goltz

  • Application of wavelets and neural networks to diagnostic system development, 1, feature extraction

    B.H. Chen;X.Z. Wang;S.H. Yang;C. McGreavy

  • Real-Time Measurement of the Growth Rates of Individual Crystal Facets Using Imaging and Image Analysis: A Feasibility Study on Needle-shaped Crystals of L-Glutamic Acid

    X.Z. Wang;J. Calderon De Anda;K.J. Roberts

  • Dimension reduction of process dynamic trends using independent component analysis

    R.F Li;X.Z Wang

  • Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties

    Tao Liu;Xue Z. Wang;Xue Z. Wang;Junghui Chen

  • A multi-agent system for chemical supply chain simulation and management support

    Rodolfo García-Flores;Xue Zhong Wang

  • Real-time product morphology monitoring in crystallization using imaging technique

    J. Calderon De Anda;X. Z. Wang;X. Lai;K. J. Roberts

  • Nano(Q)SAR: Challenges, pitfalls and perspectives.

    Ratna Tantra;Ceyda Oksel;Tomasz Puzyn;Jian Wang

  • Morphological Population Balance for Modeling Crystal Growth in Face Directions

    Cai Y. Ma;Xue Z. Wang;Kevin J. Roberts

  • Multi-dimensional population balance modeling of the growth of rod-like L-glutamic acid crystals using growth rates estimated from in-process imaging

    Cai Y. Ma;Xue Z. Wang;Kevin J. Roberts

  • (Q)SAR Modelling of Nanomaterial Toxicity - A Critical Review

    Ceyda Oksel;Cai Y. Ma;Jing J. Liu;Jing J. Liu;Terry Wilkins

  • Synthesis and characterization of doped nano-sized ceria–zirconia solid solutions

    Xiaole Weng;Xiaole Weng;Ben Perston;Xue Z. Wang;Isaac Abrahams

  • Model identification of crystal facet growth kinetics in morphological population balance modeling of l-glutamic acid crystallization and experimental validation

    Chao Y. Ma;Xue Z. Wang

  • Neural network based fault diagnosis using unmeasurable inputs

    S.H. Yang;B.H. Chen;X.Z. Wang

Frequent Co-Authors

Jawwad A. Darr
Jawwad A. Darr University College London
Albert Frederick Carley
Albert Frederick Carley Cardiff University
Yu Qian
Yu Qian South China University of Technology
David A. Winkler
David A. Winkler La Trobe University
Panagiotis D. Christofides
Panagiotis D. Christofides University of California, Los Angeles
Junghui Chen
Junghui Chen Chung Yuan Christian University
Antonio Marcomini
Antonio Marcomini Ca Foscari University of Venice
Ihtesham Ur Rehman
Ihtesham Ur Rehman Lancaster University
Jonathan C. Knowles
Jonathan C. Knowles University College London
David J. Morgan
David J. Morgan Cardiff University

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