World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
35
Citations
5701
World Ranking
9275
National Ranking
791

Kai-Yun Wang publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Kai-Yun Wang sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 80 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Kai-Yun Wang D-index placement in Environmental Sciences in 2026

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

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Kai-Yun Wang is affiliated with East China Normal University in China and conducts research primarily in the field of engineering. Their work focuses largely on mechanical engineering and its application within railway systems and infrastructure.

The scientist's research spans several subfields, including:

  • Mechanical Engineering
  • Mechanics of Materials
  • General Engineering
  • Civil and Structural Engineering
  • Industrial and Manufacturing Engineering

Key research topics covered by Kai-Yun Wang include:

  • Railway Engineering and Dynamics
  • Civil and Geotechnical Engineering Research
  • Mechanical stress and fatigue analysis
  • Railway Systems and Energy Efficiency
  • Gear and Bearing Dynamics Analysis
  • Aerodynamics and Fluid Dynamics Research
  • Machine Fault Diagnosis Techniques

Kai-Yun Wang has contributed scholarly articles to multiple publication venues, with frequent appearances in:

  • Vehicle System Dynamics
  • Journal of Mechanical Engineering
  • International Journal of Rail Transportation
  • Railway Engineering Science
  • Measurement

Recent significant papers include:

  • "Improved analytical calculation model of spur gear mesh excitations with tooth profile deviations" (2020), published in Mechanism and Machine Theory
  • "An improved dynamic model of spur gear transmission considering coupling effect between gear neighboring teeth" (2021), published in Nonlinear Dynamics
  • "Impact vibration behavior of railway vehicles: a state-of-the-art overview" (2021), published in Acta Mechanica Sinica
  • "A two-level adaptive chirp mode decomposition method for the railway wheel flat detection under variable-speed conditions" (2021), published in Journal of Sound and Vibration
  • "Full-scale multi-functional test platform for investigating mechanical performance of track-subgrade systems of high-speed railways" (2020), published in Railway Engineering Science

Collaborations feature prominently in Kai-Yun Wang's research, with frequent co-authors including:

  • Wanming Zhai
  • Liang Ling
  • Shiqian Chen
  • Yunfan Yang
  • Zaigang Chen

Best Publications

  • Temperature response of parameters of a biochemically based model of photosynthesis. II. A review of experimental data

    B. E. Medlyn;B. E. Medlyn;E. Dreyer;D. Ellsworth;M. Forstreuter

  • Stomatal conductance of forest species after long‐term exposure to elevated CO2 concentration: a synthesis

    B. E. Medlyn;B. E. Medlyn;C. V. M. Barton;M. S. J. Broadmeadow;R. Ceulemans

  • Effects of elevated (CO2) on photosynthesis in European forest species: a meta-analysis of model parameters

    Belinda E. Medlyn;Belinda E. Medlyn;F. W. Badeck;D. G.G. De Pury;C. V.M. Barton

  • Effects of needle age, long-term temperature and CO2 treatments on the photosynthesis of Scots pine

    Kaiyun Wang;Seppo Kellomäki;Kaisa Laitinen

  • Differences in drought responses of three contrasting Eucalyptus microtheca F. Muell. populations

    Chunyang Li;Chunyang Li;Kaiyun Wang

  • Acclimation of photosynthetic parameters in Scots pine after three years exposure to elevated temperature and CO2

    Kai-Yun Wang;Seppo Kellomäki;Kaisa Laitinen

  • Effects of long-term CO2 and temperature elevation on crown nitrogen distribution and daily photosynthetic performance of Scots pine

    Seppo Kellomäki;Kai-Yun Wang

  • Seasonal and annual stem respiration of Scots pine trees under boreal conditions.

    Tianshan Zha;Seppo Kellomäki;Kai-Yun Wang;Aija Ryyppö

  • Canopy CO2 exchange of Scots pine and its seasonal variation after four-year exposure to elevated CO2 and temperature

    Kai-Yun Wang

  • Photosynthetic responses to needle water potentials in Scots pine after a four-year exposure to elevated CO2 and temperature

    Seppo Kellomäki;Kai-Yun Wang

  • Controlled Environment Chambers for Investigating Tree Response to Elevated CO2 and Temperature Under Boreal Conditions

    S. Kellomäki;Kai-Yun Wang;M. Lemettinen

  • Influence of clear-cutting on the risk of wind damage at forest edges

    Hongcheng Zeng;Heli Peltola;Ari Talkkari;Ari Venäläinen

  • Modeling water table changes in boreal peatlands of Finland under changing climate conditions

    Jinnan Gong;Jinnan Gong;Kaiyun Wang;Kaiyun Wang;Seppo Kellomäki;Chao Zhang;Chao Zhang

  • Growth and Resource Use of Birch Seedlings Under Elevated Carbon Dioxide and Temperature

    S. Kellomäki;K.-Y. Wang

  • Photosynthetic responses of Scots pine to elevated CO2 and nitrogen supply: results of a branch-in-bag experiment

    Seppo Kellomäki;Kai-Yun Wang

  • Total and Component Carbon Fluxes of a Scots Pine Ecosystem from Chamber Measurements and Eddy Covariance

    Tianshan Zha;Zisheng Xing;Kai-Yun Wang;Seppo Kellomäki

  • Carbon sequestration and ecosystem respiration for 4 years in a Scots pine forest

    Tianshan Zha;Seppo Kellomäki;Kai-Yun Wang;Ismo Rouvinen

  • Modifications in Photosynthetic Pigments and Chlorophyll Fluorescence in 20-Year-Old Pine Trees after a Four-Year Exposure to Carbon Dioxide and Temperature Elevation

    K.-Y. Wang;K.-Y. Wang;S. Kellomäki;T. Zha

  • Effects of elevated CO2 and temperature on leaf characteristics, photosynthesis and carbon storage in aboveground biomass of a boreal bioenergy crop (Phalaris arundinacea L.) under varying water regimes

    Xiao Zhou;Zhen-Ming Ge;Zhen-Ming Ge;Seppo Kellomäki;Kai-Yun Wang;Kai-Yun Wang

  • Component carbon fluxes and their contribution to ecosystem carbon exchange in a pine forest: an assessment based on eddy covariance measurements and an integrated model.

    K.-Y. Wang;S. Kellomäki;T. S. Zha;H. Peltola

Frequent Co-Authors

Seppo Kellomäki
Seppo Kellomäki University of Eastern Finland
Heli Peltola
Heli Peltola University of Eastern Finland
Tianshan Zha
Tianshan Zha Beijing Forestry University
Pertti J. Martikainen
Pertti J. Martikainen University of Eastern Finland
Belinda E. Medlyn
Belinda E. Medlyn Western Sydney University
Ari Venäläinen
Ari Venäläinen Finnish Meteorological Institute
Chunyang Li
Chunyang Li Zhejiang University
Craig V. M. Barton
Craig V. M. Barton Western Sydney University
Paul G. Jarvis
Paul G. Jarvis University of Edinburgh
Reinhart Ceulemans
Reinhart Ceulemans University of Antwerp

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