World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
73
Citations
24687
World Ranking
844
National Ranking
32

Zhangxin Chen 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 Zhangxin Chen 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: 854 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Zhangxin Chen 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 Zhangxin Chen 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: 73 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the Royal Society of Canada Academy of Science

Overview

Zhangxin Chen is affiliated with the University of Calgary in Canada and has an extensive publication record primarily in the field of engineering. Their research spans multiple subfields including Ocean Engineering, Mechanics of Materials, Mechanical Engineering, Renewable Energy, Sustainability and the Environment, and Environmental Engineering.

The scientist's work covers several main topics such as:

  • Hydrocarbon exploration and reservoir analysis
  • Hydraulic fracturing and reservoir analysis
  • Enhanced oil recovery techniques
  • Reservoir engineering and simulation methods
  • Petroleum processing and analysis
  • CO2 sequestration and geologic interactions
  • Drilling and well engineering

Zhangxin Chen has published papers in frequent venues which include:

  • SSRN Electronic Journal
  • Fuel
  • Energy
  • Journal of Petroleum Science and Engineering
  • Energy & Fuels

Among recent significant publications are:

  • "2D Transition Metal Dichalcogenides for Photocatalysis" (2023) in Angewandte Chemie International Edition
  • "Regenerative fuel cells: Recent progress, challenges, perspectives and their applications for space energy system" (2020) in Applied Energy
  • "Numerical simulation of large-scale seasonal hydrogen storage in an anticline aquifer: A case study capturing hydrogen interactions and cushion gas injection" (2023) in Applied Energy
  • "General Synthesis of Transition-Metal-Based Carbon-Group Intermetallic Catalysts for Efficient Electrocatalytic Hydrogen Evolution in Wide pH Range" (2022) in Advanced Energy Materials
  • "Coproduction of hydrogen and lactic acid from glucose photocatalysis on band-engineered Zn1-xCdxS homojunction" (2021) in iScience

The scientist has collaborated frequently with coauthors including Keliu Wu, Xiaohu Dong, Jinguang Hu, Gang Hui, and Jing Li, indicating a strong network within their research community.

Zhangxin Chen has contributed to academic literature beyond journal articles through book publications as well. Notably, they have published the book titled Finite Volume Methods for the Incompressible Navier-Stokes Equations (2022) with Springer Nature.

In recognition of their work, Zhangxin Chen was awarded the title of Fellow of the Royal Society of Canada in 2020 by the Academy of Science.

Best Publications

  • Critical review of the impact of tortuosity on diffusion

    Lihua Shen;Zhangxin Chen

  • Wettability effect on nanoconfined water flow

    Keliu Wu;Zhangxin Chen;Jing Li;Xiangfang Li

  • Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection

    Xiaohu Dong;Huiqing Liu;Zhangxin Chen;Zhangxin Chen;Keliu Wu

  • Reservoir simulation : mathematical techniques in oil recovery

    Zhangxin Chen

  • A Model for Multiple Transport Mechanisms Through Nanopores of Shale Gas Reservoirs with Real Gas Effect-Adsorption-Mechanic Coupling

    Keliu Wu;Zhangxin Chen;Xiangfang Li;Chaohua Guo

  • Model for Surface Diffusion of Adsorbed Gas in Nanopores of Shale Gas Reservoirs

    Keliu Wu;Xiangfang Li;Chenchen Wang;Wei Yu

  • Real gas transport through nanopores of varying cross-section type and shape in shale gas reservoirs

    Keliu Wu;Keliu Wu;Zhangxin Chen;Xiangfang Li

  • Heavy oil polymer flooding from laboratory core floods to pilot tests and field applications: Half-century studies

    Hadi Saboorian-Jooybari;Morteza Dejam;Zhangxin Chen

  • A Unified Model for Gas Transfer in Nanopores of Shale-Gas Reservoirs: Coupling Pore Diffusion and Surface Diffusion

    Keliu Wu;Xiangfang Li;Chaohua Guo;Chenchen Wang

  • Measurement of gas storage processes in shale and of the molecular diffusion coefficient in kerogen

    S. Reza Etminan;Farzam Javadpour;Brij B. Maini;Zhangxin Chen

  • On the implementation of mixed methods as nonconforming methods for second-order elliptic problems

    Todd Arbogast;Zhangxin Chen

  • Phase Equilibria of Confined Fluids in Nanopores of Tight and Shale Rocks Considering the Effect of Capillary Pressure and Adsorption Film

    Xiaohu Dong;Xiaohu Dong;Huiqing Liu;Jirui Hou;Keliu Wu

  • ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network

    Renzhi Cao;Colton Freitas;Leong Chan;Miao Sun

  • Comparison of machine learning methods for estimating permeability and porosity of oil reservoirs via petro-physical logs

    Mohammad Ali Ahmadi;Zhangxing Chen

  • Degenerate Two-Phase Incompressible Flow: I. Existence, Uniqueness and Regularity of a Weak Solution

    Zhangxin Chen

  • Flow behavior of gas confined in nanoporous shale at high pressure: Real gas effect

    Keliu Wu;Zhangxin Chen;Xiangfang Li;Jinze Xu

  • An Improved IMPES Method for Two-Phase Flow in Porous Media

    Zhangxin Chen;Guanren Huan;Baoyan Li

  • Multidimensional Scaling Analysis for Passive Moving Target Localization With TDOA and FDOA Measurements

    He-Wen Wei;Rong Peng;Qun Wan;Zhang-Xin Chen

  • A model for gas transport in microfractures of shale and tight gas reservoirs

    Keliu Wu;Xiangfang Li;Chenchen Wang;Zhangxin Chen

  • Expanded mixed finite element methods for linear second-order elliptic problems, I

    Zhangxin Chen

  • Prismatic mixed finite elements for second order elliptic problems

    Z. Chen;J. Douglas

Frequent Co-Authors

Keliu Wu
Keliu Wu China University of Petroleum, Beijing
Hassan Hassanzadeh
Hassan Hassanzadeh University of Calgary
Richard E. Ewing
Richard E. Ewing Texas A&M University
Huiqing Liu
Huiqing Liu China University of Petroleum, Beijing
Morteza Dejam
Morteza Dejam University of Wyoming
Xiangfang Li
Xiangfang Li China University of Petroleum, Beijing
Yili Kang
Yili Kang Southwest Petroleum University
Mingzhe Dong
Mingzhe Dong University of Calgary
Jianchun Guo
Jianchun Guo Southwest Petroleum University
Jun Yao
Jun Yao China University of Petroleum, Beijing

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