World's Best Scientists 2026 revealed!
David Shan-Hill Wong

David Shan-Hill Wong

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7488
World Ranking
6521
National Ranking
64

David Shan-Hill Wong 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 David Shan-Hill Wong 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: 211 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

David Shan-Hill Wong 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 David Shan-Hill Wong 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

David Shan-Hill Wong is affiliated with National Tsing Hua University in Taiwan, focusing primarily on engineering research. Their work spans a range of subfields including Control and Systems Engineering, Mechanical Engineering, Materials Chemistry, Biomedical Engineering, and Organic Chemistry. The predominant field of study is engineering, with a significant emphasis on control systems and related technologies.

Their research interests encompass several main topics:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Carbon Dioxide Capture Technologies
  • Process Optimization and Integration
  • Machine Fault Diagnosis Techniques
  • Mineral Processing and Grinding
  • Iterative Learning Control Systems

The scientist has published extensively in various academic venues. Frequent publication outlets include:

  • Journal of the Taiwan Institute of Chemical Engineers
  • Journal of Process Control
  • Industrial & Engineering Chemistry Research
  • IEEE Transactions on Instrumentation and Measurement
  • Process Safety and Environmental Protection

Notable recent papers authored or co-authored by David Shan-Hill Wong include:

  • Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network, 2022, IEEE Transactions on Instrumentation and Measurement
  • Effect of CO2 adsorbents on the Ni-based dual-function materials for CO2 capturing and in situ methanation, 2020, Journal of the Chinese Chemical Society
  • Electrification of distillation for decarbonization: An overview and perspective, 2024, Renewable and Sustainable Energy Reviews
  • Development of Robust and Physically Interpretable Soft Sensor for Industrial Distillation Column Using Transfer Learning with Small Datasets, 2021, Processes
  • Trajectory-based operation monitoring of transition procedure in multimode process, 2020, Journal of Process Control

Frequent co-authors collaborating with David Shan-Hill Wong include:

  • Jia-Lin Kang
  • Ying Zheng
  • Shi-Shang Jang
  • Yuan Yao
  • Weidong Yang

Best Publications

  • A theoretically correct mixing rule for cubic equations of state

    David Shan Hill Wong;Stanley I. Sandler

  • A novel deep eutectic solvent-based ionic liquid used as electrolyte for dye-sensitized solar cells

    Huei-Ru Jhong;David Shan-Hill Wong;Chi-Chao Wan;Yung-Yun Wang

  • Adsorption and Desorption of Carbon Dioxide onto and from Activated Carbon at High Pressures

    Jeng Hsin Chen;David Shan Hill Wong;Chung Sung Tan;Ramkumar Subramanian

  • Equation of state mixing rule for nonideal mixtures using available activity coefficient model parameters and that allows extrapolation over large ranges of temperature and pressure

    David S. H. Wong;Hasan Orbey;Stanley I. Sandler

  • Phase equilibria of water and ionic liquids [emim][PF6] and [bmim][PF6]

    David Shan Hill Wong;Jia Pei Chen;Jyh Ming Chang;Cheng Huang Chou

  • Effect of Water on Solubility of Carbon Dioxide in (Aminomethanamide + 2-Hydroxy-N,N,N-trimethylethanaminium Chloride)

    Wen Cheng Su;David Shan Hill Wong;Meng Hui Li

  • Predictive control of quality in batch polymerization using hybrid ANN models

    Andy Yen-Di Tsen;Shi Shang Jang;David Shan Hill Wong;Babu Joseph

  • Controller design and reduction of bullwhip for a model supply chain system using z-transform analysis

    Pin-Ho Lin;David Shan-Hill Wong;Shi-Shang Jang;Shyan-Shu Shieh

  • Densities of a deep eutectic solvent based on choline chloride and glycerol and its aqueous mixtures at elevated pressures

    Rhoda B. Leron;David Shan Hill Wong;Meng-Hui Li

  • Controllability and energy efficiency of a high-purity divided wall column

    San-Jang Wang;David S.H. Wong

  • Plantwide control of CO 2 capture by absorption and stripping using monoethanolamine solution

    Yu-Jeng Lin;Tian-Hong Pan;David Shan-Hill Wong;Shi-Shang Jang

  • Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO

    Kai Sun;Shao-Hsuan Huang;David Shan-Hill Wong;Shi-Shang Jang

  • Carbon dioxide capture and regeneration with amine/alcohol/water blends

    Po-Han Lin;David Shan Hill Wong

  • Growth of ZnO Nanostructures with Controllable Morphology Using a Facile Green Antisolvent Method

    Ji Yao Dong;Yung-Jung Hsu;David Shan Hill Wong;Shih Yuan Lu

  • Operating windows of slot die coating: Comparison of theoretical predictions with experimental observations

    Chi-Feng Lin;David S. Hill Wong;Ta-Jo Liu;Ping-Yao Wu

  • Accurate equation of state predictions at high temperatures and pressures using the existing UNIFAC model

    Hasan Orbey;Stanley I. Sandler;David Shan Hill Wong

  • High-performance asymmetric supercapacitor consisting of Ni–Co–Cu oxy-hydroxide nanosheets and activated carbon

    Chien-Hung Lien;Chi-Chang Hu;Chun-Tsung Hsu;David Shan-Hill Wong

  • Control strategies for flexible operation of power plant with CO2 capture plant

    Yu-Jeng Lin;David Shan-Hill Wong;Shi-Shang Jang;Jenq-Jang Ou

  • Design and control of transesterification reactive distillation with thermal coupling

    San-Jang Wang;David Shan-Hill Wong;Shuh-Woei Yu

  • Fault Detection Based on Statistical Multivariate Analysis and Microarray Visualization

    Ming-Da Ma;D.S.-H. Wong;Shi-Shang Jang;Sheng-Tsaing Tseng

  • Calculations of Solubilities of Aromatic Compounds in Supercritical Carbon Dioxide

    Yu Jane Sheng;Ping Chin Chen;Yan Ping Chen;David Shan Hill Wong

Frequent Co-Authors

Stanley I. Sandler
Stanley I. Sandler University of Delaware
Yuan Yao
Yuan Yao National Tsing Hua University
Shih-Yuan Lu
Shih-Yuan Lu National Tsing Hua University
Junghui Chen
Junghui Chen Chung Yuan Christian University
Chi-Chang Hu
Chi-Chang Hu National Tsing Hua University
I-Lung Chien
I-Lung Chien National Taiwan University
Sinn-wen Chen
Sinn-wen Chen National Tsing Hua University
Yung-Jung Hsu
Yung-Jung Hsu National Yang Ming Chiao Tung University
Shiang-Tai Lin
Shiang-Tai Lin National Taiwan University
Jie Zhang
Jie Zhang The University of Texas at Dallas

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