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Kaishan Song

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 62 2642 2520 265 261 300 12419

Kaishan Song publications per year

The chart shows the history of publications by Kaishan Song between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kaishan Song published across 23 years, from 2003 to 2025, averaging 15.7 papers a year. Output peaked at 39 publications in 2023. 44 of the 360 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2023. 2003: 1 publication 2004: 1 publication 2005: 6 publications 2006: 8 publications 2007: 8 publications 2008: 12 publications 2009: 13 publications 2010: 27 publications 2011: 17 publications 2012: 13 publications 2013: 11 publications 2014: 14 publications 2015: 7 publications 2016: 14 publications 2017: 8 publications 2018: 25 publications 2019: 18 publications 2020: 19 publications 2021: 24 publications 2022: 31 publications 2023: 39 publications 2024: 20 publications 2025: 24 publications
2003 2025

360 publications in total across all disciplines

View publications per year as a table
Kaishan Song: publications per year, 2003 to 2025
Year Publications
2003 1
2004 1
2005 6
2006 8
2007 8
2008 12
2009 13
2010 27
2011 17
2012 13
2013 11
2014 14
2015 7
2016 14
2017 8
2018 25
2019 18
2020 19
2021 24
2022 31
2023 39
2024 20
2025 24
Total 360
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 291–300 publications, is where this scientist sits. 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 300 publications — 86th percentile

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

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127 300
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

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.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 62 D-Index, is where this scientist sits. 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

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 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143 62
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

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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Additionally, if you are passionate about the Earth’s physical processes, pursuing geology degrees online is an excellent way to specialize. These programs blend theoretical learning with practical skills, providing strong career prospects in conservation, land management, and research.

Best Scientists Citing Kaishan Song

Zongming Wang

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Dehua Mao

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Yunlin Zhang

Chinese Academy of Sciences

Publications: 34

Hongtao Duan

Hongtao Duan

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Publications: 33

Ronghua Ma

Ronghua Ma

Chinese Academy of Sciences

Publications: 29

Hong Yang

Hong Yang

University of Reading

Publications: 27

Kun Shi

Kun Shi

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Publications: 22

Lin Li

Lin Li

Indiana University – Purdue University Indianapolis

Publications: 22

Xiangming Xiao

Xiangming Xiao

University of Oklahoma

Publications: 19

Siyue Li

Siyue Li

Chinese Academy of Sciences

Publications: 15

Erik Jeppesen

Erik Jeppesen

Aarhus University

Publications: 14

Jinwei Dong

Jinwei Dong

Chinese Academy of Sciences

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Kyung Hwa Cho

Kyung Hwa Cho

Korea University

Publications: 11

Changchun Song

Changchun Song

Chinese Academy of Sciences

Publications: 11

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