World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
58
Citations
12620
World Ranking
10572
National Ranking
1729

Wenchuan Wang publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Wenchuan Wang sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 197 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Wenchuan Wang D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Wenchuan Wang sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 58 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Wenchuan Wang is affiliated with Beijing University of Chemical Technology in China and specializes in interdisciplinary research spanning environmental science and engineering. Their work largely addresses challenges in water science, hydrology, and optimization through the integration of advanced computational methods.

Their research encompasses multiple fields of study, including:

  • Environmental Science
  • Engineering

Within these fields, Wang's contributions focus on several subfields:

  • Water Science and Technology
  • Environmental Engineering
  • Global and Planetary Change
  • Electrical and Electronic Engineering
  • Artificial Intelligence

The main topics covered in Wang's research include:

  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Flood Risk Assessment and Management
  • Energy Load and Power Forecasting
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Water resources management and optimization

Wang has published research in several journals with high frequency, such as:

  • Water
  • Water Resources Management
  • Journal of Hydrology
  • Earth Science Informatics
  • Research Square

Among recent academic papers, the following stand out by title, year, and publication venue:

  • "scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data," 2022, Nature Machine Intelligence
  • "Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems," 2024, Artificial Intelligence Review
  • "Arctic puffin optimization: A bio-inspired metaheuristic algorithm for solving engineering design optimization," 2024, Advances in Engineering Software
  • "Yin-Yang firefly algorithm based on dimensionally Cauchy mutation," 2020, Expert Systems with Applications
  • "An Ensemble Hybrid Forecasting Model for Annual Runoff Based on Sample Entropy, Secondary Decomposition, and Long Short-Term Memory Neural Network," 2021, Water Resources Management

Wang regularly collaborates with several researchers, including:

  • Hong-fei Zang
  • Dongmei Xu
  • Kwok-wing Chau
  • Changjun Liu
  • Xiao-xue Hu

Best Publications

  • Targeted Synthesis of a Porous Aromatic Framework with High Stability and Exceptionally High Surface Area

    Teng Ben;Hao Ren;Shengqian Ma;Dapeng Cao

  • Recent Progress in MOF-Derived, Heteroatom-Doped Porous Carbons as Highly Efficient Electrocatalysts for Oxygen Reduction Reaction in Fuel Cells

    Liu Yang;Xiaofei Zeng;Wenchuan Wang;Dapeng Cao

  • A refined force field for molecular simulation of imidazolium-based ionic liquids

    Zhiping Liu;Shiping Huang;Wenchuan Wang

  • Lithium-doped 3D covalent organic frameworks: high-capacity hydrogen storage materials.

    Dapeng Cao;Jianhui Lan;Wenchuan Wang;Berend Smit

  • Screening of ionic liquids to capture CO2 by COSMO-RS and experiments

    Xiaochun Zhang;Zhiping Liu;Wenchuan Wang

  • Metal–Organic Frameworks with Incorporated Carbon Nanotubes: Improving Carbon Dioxide and Methane Storage Capacities by Lithium Doping†

    Zhonghua Xiang;Zan Hu;Dapeng Cao;Wantai Yang

  • Doping of Alkali, Alkaline-Earth, and Transition Metals in Covalent-Organic Frameworks for Enhancing CO2 Capture by First-Principles Calculations and Molecular Simulations

    Jianhui Lan;Dapeng Cao;Wenchuan Wang;Berend Smit

  • Replacement mechanism of methane hydrate with carbon dioxide from microsecond molecular dynamics simulations

    Dongsheng Bai;Xianren Zhang;Guangjin Chen;Wenchuan Wang

  • Novel percolation phenomena and mechanism of strengthening elastomers by nanofillers

    Zhenhua Wang;Jun Liu;Sizhu Wu;Wenchuan Wang

  • Molecular dynamics simulation of room-temperature ionic liquid mixture of [bmim][BF4] and acetonitrile by a refined force field

    Xiaoping Wu;Zhiping Liu;Shiping Huang;Wenchuan Wang

  • A hybrid absorption–adsorption method to efficiently capture carbon

    Huang Liu;Bei Liu;Li Chiang Lin;Guangjin Chen

  • Systematic Tuning and Multifunctionalization of Covalent Organic Polymers for Enhanced Carbon Capture

    Zhonghua Xiang;Rocio Mercado;Johanna M. Huck;Hui Wang

  • Microsecond molecular dynamics simulations of the kinetic pathways of gas hydrate formation from solid surfaces.

    Dongsheng Bai;Guangjin Chen;Xianren Zhang;Wenchuan Wang

  • Optimization of Single-Walled Carbon Nanotube Arrays for Methane Storage at Room Temperature

    Dapeng Cao;Xianren Zhang;Jianfeng Chen;Wenchuan Wang

  • Multiscale simulation and modelling of adsorptive processes for energy gas storage and carbon dioxide capture in porous coordination frameworks

    Zhonghua Xiang;Dapeng Cao;Jianhui Lan;Wenchuan Wang

  • Absorption of CO2 in the ionic liquid 1-n-hexyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate ([hmim][FEP]): a molecular view by computer simulations.

    Xiaochun Zhang;Feng Huo;Zhiping Liu;Wenchuan Wang

  • A novel united-atom force field for imidazolium-based ionic liquids.

    Zhiping Liu;Xiaoping Wu;Wenchuan Wang

  • Molecular dynamics simulation for insight into microscopic mechanism of polymer reinforcement

    Jun Liu;Sizhu Wu;Liqun Zhang;Wenchuan Wang

  • How Properties of Solid Surfaces Modulate the Nucleation of Gas Hydrate

    Dongsheng Bai;Guangjin Chen;Xianren Zhang;Amadeu K. Sum

  • Silicon Nanotube as a Promising Candidate for Hydrogen Storage: From the First Principle Calculations to Grand Canonical Monte Carlo Simulations

    Jianhui Lan;Daojian Cheng;Dapeng Cao;Wenchuan Wang

  • LithiumhDoped 3D Covalent Organic Frameworks: HighhCapacity Hydrogen Storage Materials

    Dapeng Cao;Jianhui Lan;Wenchuan Wang;Berend Smit

Frequent Co-Authors

Dapeng Cao
Dapeng Cao Beijing University of Chemical Technology
Daojian Cheng
Daojian Cheng Beijing University of Chemical Technology
Chongli Zhong
Chongli Zhong Tianjin Polytechnic University
Guang-Jin Chen
Guang-Jin Chen China University of Petroleum, Beijing
Xiao Cheng Zeng
Xiao Cheng Zeng City University of Hong Kong
Liqun Zhang
Liqun Zhang Xi'an Jiaotong University
Berend Smit
Berend Smit École Polytechnique Fédérale de Lausanne
Qingyuan Yang
Qingyuan Yang Beijing University of Chemical Technology
Jian-Feng Chen
Jian-Feng Chen Beijing University of Chemical Technology
Wantai Yang
Wantai Yang Beijing University of Chemical Technology

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