World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 65 2251 2147 229 225 192 12835

Zhou Shi publications per year

The chart shows the history of publications by Zhou Shi between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhou Shi published across 27 years, from 1999 to 2025, averaging 17.4 papers a year. Output peaked at 76 publications in 2022. 136 of the 469 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 76. Peak 76 publications in 2022. 1999: 1 publication 2000: 2 publications 2001: 0 publications 2002: 3 publications 2003: 2 publications 2004: 1 publication 2005: 3 publications 2006: 3 publications 2007: 13 publications 2008: 5 publications 2009: 6 publications 2010: 4 publications 2011: 1 publication 2012: 4 publications 2013: 8 publications 2014: 5 publications 2015: 8 publications 2016: 15 publications 2017: 7 publications 2018: 20 publications 2019: 30 publications 2020: 25 publications 2021: 25 publications 2022: 76 publications 2023: 66 publications 2024: 70 publications 2025: 66 publications
1999 2025

469 publications in total across all disciplines

View publications per year as a table
Zhou Shi: publications per year, 1999 to 2025
Year Publications
1999 1
2000 2
2001 0
2002 3
2003 2
2004 1
2005 3
2006 3
2007 13
2008 5
2009 6
2010 4
2011 1
2012 4
2013 8
2014 5
2015 8
2016 15
2017 7
2018 20
2019 30
2020 25
2021 25
2022 76
2023 66
2024 70
2025 66
Total 469
Download as CSV

Zhou 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 Zhou Shi 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, 191–200 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: 192 publications — 61st percentile

61% 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
191–200 377 192
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
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

Zhou 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 Zhou Shi 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, 65 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: 65 D-Index — 78th percentile

78% 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
63 150
64 124
65 119 65
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

Zhou Shi is affiliated with Zhejiang University in China and focuses on environmental science with extensive research contributions spanning several subfields including environmental engineering, ecology, soil science, artificial intelligence, and atmospheric science.

Their research primarily addresses topics such as soil geostatistics and mapping, geochemistry and geologic mapping, soil carbon and nitrogen dynamics, remote sensing in agriculture, spectroscopy and chemometric analyses, land use and ecosystem services, and heavy metals in the environment.

Zhou Shi has authored research papers published across a range of prominent venues. The most frequent publication outlets include:

  • Geoderma
  • Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • Journal of Cleaner Production

Notable recent publications include:

  • Mapping high resolution National Soil Information Grids of China, 2021, Science Bulletin
  • Current status, spatial features, health risks, and potential driving factors of soil heavy metal pollution in China at province level, 2020, Environmental Pollution
  • Digital mapping of GlobalSoilMap soil properties at a broad scale: A review, 2021, Geoderma
  • Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning, 2020, Environmental Pollution
  • Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory, 2020, Journal of Hazardous Materials

Zhou Shi frequently collaborates with several co-authors, including:

  • Songchao Chen
  • Bifeng Hu
  • Jie Peng
  • Yongsheng Hong
  • Jie Xue

The scientist's publication record shows a significant involvement in research integrating machine learning and environmental data to address soil pollution and ecosystem services.

Overall, Zhou Shi's work contributes to the understanding of soil characteristics, environmental contaminants, and the application of remote sensing and computational techniques in environmental science.

Best Publications

  • A global spectral library to characterize the world’s soil

    R.A. Viscarra Rossel;T. Behrens;E. Ben-Dor;D.J. Brown

  • Mapping high resolution National Soil Information Grids of China

    Feng Liu;Huayong Wu;Yuguo Zhao;Decheng Li

  • Current status, spatial features, health risks, and potential driving factors of soil heavy metal pollution in China at province level.

    Bifeng Hu;Shuai Shao;Hao Ni;Zhiyi Fu

  • Digital mapping of GlobalSoilMap soil properties at a broad scale: A review

    Songchao Chen;Dominique Arrouays;Vera Leatitia Mulder;Laura Poggio

  • Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China

    Jie Peng;Jie Peng;Asim Biswas;Qingsong Jiang;Qingsong Jiang;Ruiying Zhao

  • Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land

    Yan Li;Zhou Shi;Feng Li;Hong-Yi Li

  • Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models.

    Hongfen Teng;Zongzheng Liang;Songchao Chen;Yong Liu

  • Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations

    Zhou Shi;QianLong Wang;Jie Peng;WenJun Ji

  • Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning.

    Bifeng Hu;Jie Xue;Yin Zhou;Shuai Shao

  • Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory

    Xiaolin Jia;Tingting Fu;Bifeng Hu;Bifeng Hu;Zhou Shi

  • Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis–NIR spectral library

    Z. Shi;W. Ji;W. Ji;R. A. Viscarra Rossel;S. Chen

  • Land use and climate change effects on soil organic carbon in North and Northeast China.

    Yin Zhou;Alfred E. Hartemink;Zhou Shi;Zhou Shi;Zongzheng Liang

  • Accounting for the effects of water and the environment on proximally sensed vis–NIR soil spectra and their calibrations

    W. Ji;W. Ji;R. A. Viscarra Rossel;Z. Shi

  • A high-resolution map of soil pH in China made by hybrid modelling of sparse soil data and environmental covariates and its implications for pollution.

    Songchao Chen;Zongzheng Liang;Richard Webster;Ganlin Zhang

  • Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution.

    Bifeng Hu;Songchao Chen;Songchao Chen;Jie Hu;Fang Xia

  • AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE

    Unknown

  • A spatial data mining algorithm for downscaling TMPA 3B43 V7 data over the Qinghai-Tibet Plateau with the effects of systematic anomalies removed

    Ziqiang Ma;Zhou Shi;Yin Zhou;Junfeng Xu

  • Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia

    Hongfen Teng;Raphael A. Viscarra Rossel;Zhou Shi;Thorsten Behrens

  • A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China.

    Xiaolin Jia;Bifeng Hu;Ben P. Marchant;Lianqing Zhou

  • Quantitative Estimation of Soil Salinity Using UAV-Borne Hyperspectral and Satellite Multispectral Images

    Jie Hu;Jie Peng;Yin Zhou;Dongyun Xu

  • Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra

    Meihua Yang;Dongyun Xu;Songchao Chen;Hongyi Li

Frequent Co-Authors

Asim Biswas
Asim Biswas University of Guelph
A-Xing Zhu
A-Xing Zhu University of Wisconsin–Madison
R. A. Viscarra Rossel
R. A. Viscarra Rossel Curtin University
Gan-Lin Zhang
Gan-Lin Zhang Chinese Academy of Sciences
Abdul Mounem Mouazen
Abdul Mounem Mouazen Ghent University
John P. A. Lamers
John P. A. Lamers University of Bonn
Adrian Chappell
Adrian Chappell Cardiff University
Dominique Arrouays
Dominique Arrouays INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Stefan Dech
Stefan Dech German Aerospace Center
Christopher Martius
Christopher Martius Center for International Forestry Research, Germany

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Environmental Sciences, exploring related online degrees can provide a broader understanding and diverse career options. Many students seek the easiest bachelor's degree pathways to balance education with work or other commitments, making it essential to find programs that offer flexibility without compromising quality.

Specialized fields such as geology are closely linked to environmental studies. Pursuing a geology degree online provides practical insights into Earth's processes, which is invaluable for environmental monitoring and conservation roles.

Geographic Information Systems (GIS) play a critical role in environmental data analysis and management. Enrolling in top-tier gis degree programs equips students with technical skills to visualize and solve complex environmental challenges effectively.

For those aiming at leadership roles in environmental policy and public sector management, pursuing one of the best online masters in public administration can be a strategic step. This degree focuses on governance and administration, vital for driving sustainable initiatives.

Best Scientists Citing Zhou Shi

Trending Scientists

Recently Published Articles