World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
57
Citations
10457
World Ranking
3503
National Ranking
373

Kun Shi 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 Kun Shi 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: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Kun Shi 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 Kun Shi 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: 57 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Kun Shi is a researcher affiliated with the Chinese Academy of Sciences in China, with a primary focus in the fields of Environmental Science and Earth and Planetary Sciences. Their work spans a range of topics related to aquatic and coastal ecosystems, illustrating a detailed engagement with environmental monitoring and water quality assessment.

Their published research includes investigations centered on water quality, remote sensing technologies, and aquatic ecosystem dynamics. Recent papers authored by or involving Shi include the following:

  • Monitoring water quality using proximal remote sensing technology, 2021, The Science of The Total Environment
  • Extreme Climate Anomalies Enhancing Cyanobacterial Blooms in Eutrophic Lake Taihu, China, 2021, Water Resources Research
  • Chromophoric dissolved organic matter in inland waters: Present knowledge and future challenges, 2020, The Science of The Total Environment
  • Remote sensing estimation of water clarity for various lakes in China, 2021, Water Research
  • Global divergent trends of algal blooms detected by satellite during 1982-2018, 2022, Global Change Biology

Shi frequently collaborates with several co-authors, including:

  • Yunlin Zhang
  • Boqiang Qin
  • Yibo Zhang
  • Yongqiang Zhou
  • Guangwei Zhu

Publishing venues where Shi has regularly contributed comprise:

  • The Science of The Total Environment
  • Water Research
  • Journal of Hydrology
  • Remote Sensing
  • Nature Communications

Shi's research domains include broader and subfields such as:

  • Environmental Science
  • Earth and Planetary Sciences
  • Oceanography
  • Environmental Chemistry
  • Water Science and Technology
  • Ecology
  • Global and Planetary Change

The scientist's work engages main thematic areas reflecting the complexity of aquatic environments. These include:

  • Marine and coastal ecosystems
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Fish Ecology and Management Studies
  • Microbial Community Ecology and Physiology
  • Water Quality Monitoring and Analysis
  • Water Quality and Pollution Assessment
  • Water Quality Monitoring Technologies

Best Publications

  • Global loss of aquatic vegetation in lakes

    Yunlin Zhang;Erik Jeppesen;Xiaohan Liu;Boqiang Qin

  • Why Lake Taihu continues to be plagued with cyanobacterial blooms through 10 years (2007-2017) efforts

    Boqiang Qin;Hans W. Paerl;Justin D. Brookes;Jianguo Liu

  • Dissolved oxygen stratification and response to thermal structure and long-term climate change in a large and deep subtropical reservoir (Lake Qiandaohu, China).

    Yunlin Zhang;Zhixu Wu;Mingliang Liu;Jianbo He

  • Long-term remote monitoring of total suspended matter concentration in Lake Taihu using 250 m MODIS-Aqua data

    Kun Shi;Yunlin Zhang;Guangwei Zhu;Xiaohan Liu

  • Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China

    Xuejiao Hou;Lian Feng;Hongtao Duan;Xiaoling Chen

  • Aquatic vegetation in response to increased eutrophication and degraded light climate in Eastern Lake Taihu: Implications for lake ecological restoration.

    Yunlin Zhang;Xiaohan Liu;Boqiang Qin;Kun Shi

  • Long-term MODIS observations of cyanobacterial dynamics in Lake Taihu: Responses to nutrient enrichment and meteorological factors.

    Kun Shi;Yunlin Zhang;Yongqiang Zhou;Xiaohan Liu

  • Improving water quality in China: Environmental investment pays dividends.

    Yongqiang Zhou;Jianrong Ma;Yunlin Zhang;Boqiang Qin

  • Optical properties and composition changes in chromophoric dissolved organic matter along trophic gradients: Implications for monitoring and assessing lake eutrophication

    Yunlin Zhang;Yongqiang Zhou;Kun Shi;Boqiang Qin

  • Thermal structure and response to long-term climatic changes in Lake Qiandaohu, a deep subtropical reservoir in China

    Yunlin Zhang;Zhixu Wu;Mingliang Liu;Jianbo He

  • Global divergent trends of algal blooms detected by satellite during 1982–2018

    Unknown

  • Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges

    Kun Shi;Yunlin Zhang;Boqiang Qin;Botian Zhou

  • Monitoring water quality using proximal remote sensing technology.

    Xiao Sun;Yunlin Zhang;Kun Shi;Yibo Zhang

  • Extreme Climate Anomalies Enhancing Cyanobacterial Blooms in Eutrophic Lake Taihu, China

    Boqiang Qin;Boqiang Qin;Jianming Deng;Kun Shi;Jia Wang

  • Inflow rate-driven changes in the composition and dynamics of chromophoric dissolved organic matter in a large drinking water lake.

    Yongqiang Zhou;Yunlin Zhang;Erik Jeppesen;Kathleen R. Murphy

  • The persistence of cyanobacterial (Microcystis spp.) blooms throughout winter in Lake Taihu, China

    Jianrong Ma;Boqiang Qin;Hans W. Paerl;Justin D. Brookes

  • The role of tropical cyclones in stimulating cyanobacterial (Microcystis spp.) blooms in hypertrophic Lake Taihu, China

    Mengyuan Zhu;Hans W. Paerl;Guangwei Zhu;Tingfeng Wu

  • Phenology of Phytoplankton Blooms in a Trophic Lake Observed from Long-Term MODIS Data

    Kun Shi;Kun Shi;Yunlin Zhang;Yibo Zhang;Na Li

  • Chromophoric dissolved organic matter in inland waters: Present knowledge and future challenges.

    Yunlin Zhang;Lei Zhou;Yongqiang Zhou;Liuqing Zhang

  • How autochthonous dissolved organic matter responds to eutrophication and climate warming: Evidence from a cross-continental data analysis and experiments

    Yongqiang Zhou;Thomas A. Davidson;Xiaolong Yao;Yunlin Zhang

  • Long-Term Satellite Observations of Microcystin Concentrations in Lake Taihu during Cyanobacterial Bloom Periods

    Kun Shi;Yunlin Zhang;Hai Xu;Guangwei Zhu

  • Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model

    Kaishan Song;Lin Li;L.P. Tedesco;Shuai Li

  • Monitoring the river plume induced by heavy rainfall events in large, shallow, Lake Taihu using MODIS 250m imagery

    Yunlin Zhang;Kun Shi;Yongqiang Zhou;Xiaohan Liu

  • The influence of changes in wind patterns on the areal extension of surface cyanobacterial blooms in a large shallow lake in China.

    Tingfeng Wu;Boqiang Qin;Justin D. Brookes;Kun Shi

  • Dissolved organic matter fluorescence at wavelength 275/342 nm as a key indicator for detection of point-source contamination in a large Chinese drinking water lake

    Yongqiang Zhou;Erik Jeppesen;Yunlin Zhang;Kun Shi

Frequent Co-Authors

Yunlin Zhang
Yunlin Zhang Chinese Academy of Sciences
Boqiang Qin
Boqiang Qin Chinese Academy of Sciences
Guangwei Zhu
Guangwei Zhu Chinese Academy of Sciences
Erik Jeppesen
Erik Jeppesen Aarhus University
Justin D. Brookes
Justin D. Brookes University of Adelaide
Kaishan Song
Kaishan Song Liaocheng University
Lin Li
Lin Li Indiana University – Purdue University Indianapolis
Hans W. Paerl
Hans W. Paerl University of North Carolina at Chapel Hill
Zhidan Wen
Zhidan Wen Northeast Institute of Geography and Agroecology
Yang Gao
Yang Gao Nanjing University

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