World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
62
Citations
12419
World Ranking
2639
National Ranking
261

Kaishan Song 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 Kaishan Song 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: 300 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Kaishan Song 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 Kaishan Song 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: 62 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Kaishan Song is affiliated with Liaocheng University in China and specializes in Environmental Science and Earth and Planetary Sciences. Their research focuses extensively on marine and coastal ecosystems, remote sensing applications in agriculture, land use and ecosystem services, and water quality monitoring and technologies. Additional research topics include aquatic ecosystems and phytoplankton dynamics as well as soil geostatistics and mapping.

They have published significantly in leading journals, with frequent contributions to:

  • Remote Sensing
  • The Science of The Total Environment
  • Remote Sensing of Environment
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Some recent representative publications by Kaishan Song include:

  • National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images (2020), ISPRS Journal of Photogrammetry and Remote Sensing
  • Mapping global distribution of mangrove forests at 10-m resolution (2023), Science Bulletin
  • Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm (2021), The Science of The Total Environment
  • Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation (2020), Remote Sensing of Environment
  • Global divergent trends of algal blooms detected by satellite during 1982-2018 (2022), Global Change Biology

Their frequent collaborators include Ge Liu, Zhidan Wen, Yingxin Shang, Sijia Li, and Chong Fang. This network of co-authors indicates a robust collaborative framework across various subfields related to remote sensing and environmental monitoring.

Kaishan Song's work spans several sub-disciplines such as Oceanography, Global and Planetary Change, Ecology, Water Science and Technology, and Environmental Engineering, demonstrating a broad interdisciplinary approach within environmental and earth sciences.

Best Publications

  • Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China

    Dianwei Liu;Dianwei Liu;Zongming Wang;Bai Zhang;Kaishan Song

  • National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images

    Dehua Mao;Zongming Wang;Baojia Du;Lin Li

  • China's wetlands loss to urban expansion

    Dehua Mao;Dehua Mao;Zongming Wang;Jianguo Wu;Jianguo Wu;Bingfang Wu

  • Large greenhouse gases emissions from China's lakes and reservoirs.

    Siyue Li;Richard T. Bush;Isaac R. Santos;Quanfa Zhang

  • Mapping global distribution of mangrove forests at 10-m resolution.

    Unknown

  • Changes of land use and of ecosystem service values in Sanjiang Plain, Northeast China.

    Zongming Wang;Bai Zhang;Shuqing Zhang;Xiaoyan Li

  • Rapid expansion of coastal aquaculture ponds in China from Landsat observations during 1984–2016

    Chunying Ren;Chunying Ren;Zongming Wang;Yuanzhi Zhang;Yuanzhi Zhang;Bai Zhang

  • Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.

    Hongtao Duan;Yuanzhi Zhang;Bai Zhang;Kaishan Song

  • Loss and Fragmentation of Marshes in the Sanjiang Plain, Northeast China, 1954–2005

    Zongming Wang;Kaishan Song;Wenhong Ma;Chunying Ren

  • Characterization of CDOM in saline and freshwater lakes across China using spectroscopic analysis

    Kaishan Song;Yingxin Shang;Zhidan Wen;Pierre-Andre Jacinthe

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

    Unknown

  • Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm.

    Sijia Li;Kaishan Song;Shuai Wang;Ge Liu

  • Composition of dissolved organic matter (DOM) in lakes responds to the trophic state and phytoplankton community succession.

    Unknown

  • Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation

    Ming Shen;Hongtao Duan;Hongtao Duan;Zhigang Cao;Kun Xue

  • Interannual changes of coastal aquaculture ponds in China at 10-m spatial resolution during 2016–2021

    Unknown

  • 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

  • Climatic versus Anthropogenic Controls of Decadal Trends (1983-2017) in Algal Blooms in Lakes and Reservoirs across China.

    Kaishan Song;Chong Fang;Chong Fang;Pierre-Andre Jacinthe;Zhidan Wen

  • Water quality monitoring using Landsat Themate Mapper data with empirical algorithms in Chagan Lake, China

    Kaishan Song;Zongming Wang;John Blackwell;Bai Zhang

  • Landsat-Based Estimation of Mangrove Forest Loss and Restoration in Guangxi Province, China, Influenced by Human and Natural Factors

    Mingming Jia;Zongming Wang;Yuanzhi Zhang;Chunying Ren

  • Hyperspectral Remote Sensing of Total Phosphorus (TP) in Three Central Indiana Water Supply Reservoirs

    Kaishan Song;Lin Li;Shuai Li;Lenore Tedesco

  • Quantification of lake clarity in China using Landsat OLI imagery data

    Kaishan Song;Ge Liu;Qiang Wang;Zhidan Wen

  • Remote sensing of freshwater cyanobacteria: An extended IOP Inversion Model of Inland Waters (IIMIW) for partitioning absorption coefficient and estimating phycocyanin

    Linhai Li;Lin Li;Kaishan Song;Kaishan Song

  • Shrinkage and fragmentation of grasslands in the West Songnen Plain, China

    Zongming Wang;Kaishan Song;Bai Zhang;Dianwei Liu

  • An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application

    Linhai Li;Lin Li;Kaishan Song;Yunmei Li

  • Remote estimation of soil organic matter content in the Sanjiang Plain, Northest China: The optimal band algorithm versus the GRA-ANN model

    Xiuliang Jin;Jia Du;Huanjun Liu;Zongming Wang

  • Wetland degradation: its driving forces and environmental impacts in the Sanjiang Plain, China.

    Kaishan Song;Zongming Wang;Jia Du;Lei Liu

Frequent Co-Authors

Zongming Wang
Zongming Wang Chinese Academy of Sciences
Zhidan Wen
Zhidan Wen Northeast Institute of Geography and Agroecology
Lin Li
Lin Li Indiana University – Purdue University Indianapolis
Ying Zhao
Ying Zhao Ludong University
Hongtao Duan
Hongtao Duan Chinese Academy of Sciences
Pierre-André Jacinthe
Pierre-André Jacinthe Indiana University – Purdue University Indianapolis
Dehua Mao
Dehua Mao Chinese Academy of Sciences
Kun Shi
Kun Shi Chinese Academy of Sciences
Hong Yang
Hong Yang University of Reading
Jianguo Wu
Jianguo Wu Arizona State University

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