World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
51
Citations
10824
World Ranking
3614
National Ranking
72

Chaoyang Wu publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Chaoyang Wu sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 124 publications — 35th percentile

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

The last bar groups every scientist with 531 publications or more.

Chaoyang Wu D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Chaoyang Wu sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 51 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Chaoyang Wu is affiliated with the Chinese Academy of Sciences in China and conducts research primarily in the field of Environmental Science, with a focus on global and planetary change, ecology, and atmospheric science. Their work also spans ecological modeling and environmental engineering, contributing to a diverse understanding of environmental processes.

Their research topics include plant water relations and carbon dynamics, remote sensing in agriculture, species distribution and climate change, climate variability and models, urban heat island mitigation, atmospheric and environmental gas dynamics, and land use and ecosystem services.

The scientist has published papers in various scientific journals. Notable recent publications include:

  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover, 2020, Science Advances
  • Increased drought effects on the phenology of autumn leaf senescence, 2022, Nature Climate Change
  • Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling, 2020, Nature Communications
  • Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China, 2020, The Science of The Total Environment
  • Widespread decline in winds delayed autumn foliar senescence over high latitudes, 2021, Proceedings of the National Academy of Sciences

Chaoyang Wu frequently publishes in the following venues:

  • Nature Communications
  • Agricultural and Forest Meteorology
  • Global Change Biology
  • Environmental Research Letters
  • Nature Climate Change

Collaborations form a significant part of their work, with notable co-authors including Josep Peñuelas, Xiaoyue Wang, Yongguang Zhang, Quansheng Ge, and Rachhpal S. Jassal. These partnerships indicate a collaborative research approach across multiple environmental science domains.

Best Publications

  • Increased atmospheric vapor pressure deficit reduces global vegetation growth

    Wenping Yuan;Yi Zheng;Shilong Piao;Philippe Ciais

  • Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang

  • An underestimated role of precipitation frequency in regulating summer soil moisture

    Chaoyang Wu;Jing M. Chen;Jukka Pumpanen;Alessandro Cescatti

  • Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model

    Mingquan Wu;Zheng Niu;Changyao Wang;Chaoyang Wu;Chaoyang Wu

  • Divergent shifts in peak photosynthesis timing of temperate and alpine grasslands in China

    Jilin Yang;Jinwei Dong;Xiangming Xiao;Junhu Dai

  • Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang;Wenjiang Huang

  • Contrasting responses of autumn-leaf senescence to daytime and night-time warming

    Chaoyang Wu;Xiaoyue Wang;Huanjiong Wang;Philippe Ciais

  • Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere

    Jie Peng;Chaoyang Wu;Xiaoyang Zhang;Xiaoyue Wang

  • Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites

    Chaoyang Wu;Dailiang Peng;Kamel Soudani;Lukas Siebicke

  • Comparison of multiple models for estimating gross primary production using MODIS and eddy covariance data in Harvard Forest

    Chaoyang Wu;J. William Munger;Zheng Niu;Da Kuang

  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover

    Ni Huang;Li Wang;Xiao-Peng Song;T. Andrew Black

  • Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn

    Chaoyang Wu;Jing M. Chen;T. Andrew Black;David T. Price

  • Land surface phenology from optical satellite measurement and CO2 eddy covariance technique

    Alemu Gonsamo;Jing M. Chen;David T. Price;Werner A. Kurz

  • A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics

    Shiguang Xu;Chaoyang Wu;Li Wang;Alemu Gonsamo

  • Land surface phenology of China's temperate ecosystems over 1999–2013: Spatial–temporal patterns, interaction effects, covariation with climate and implications for productivity

    Chaoyang Wu;Xuehui Hou;Dailiang Peng;Alemu Gonsamo

  • Modeling growing season phenology in North American forests using seasonal mean vegetation indices from MODIS

    Chaoyang Wu;Chaoyang Wu;Alemu Gonsamo;Christopher M. Gough;Jing M. Chen

  • Snow cover phenology affects alpine vegetation growth dynamics on the Tibetan Plateau: Satellite observed evidence, impacts of different biomes, and climate drivers

    Xiaoyue Wang;Chaoyang Wu;Dailiang Peng;Alemu Gonsamo

  • Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation: Evaluation and calibration

    Chaoyang Wu;Chaoyang Wu;Jing M. Chen;Ni Huang

  • Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China.

    Min Wang;Zhi Ding;Chaoyang Wu;Lisheng Song

  • Overestimation of the effect of climatic warming on spring phenology due to misrepresentation of chilling.

    Huanjiong Wang;Chaoyang Wu;Philippe Ciais;Josep Peñuelas

  • Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize

    Chaoyang Wu;Zheng Niu;Shuai Gao

Frequent Co-Authors

Alemu Gonsamo
Alemu Gonsamo McMaster University
Jing M. Chen
Jing M. Chen University of Toronto
Zheng Niu
Zheng Niu Chinese Academy of Sciences
Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Xiaoyang Zhang
Xiaoyang Zhang South Dakota State University
Rachhpal S. Jassal
Rachhpal S. Jassal University of British Columbia
Christopher M. Gough
Christopher M. Gough Virginia Commonwealth University
Quansheng Ge
Quansheng Ge Chinese Academy of Sciences
David Price
David Price University of Aberdeen
Werner A. Kurz
Werner A. Kurz Natural Resources Canada

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