World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
9223
World Ranking
7594
National Ranking
2706

Wei 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 Wei 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: 86 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Wei 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 Wei 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: 41 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Wei Shi is affiliated with the National Oceanic and Atmospheric Administration in the United States. Their research primarily focuses on Earth and Planetary Sciences as well as Environmental Science, with a specialized concentration in Oceanography and related subfields such as Global and Planetary Change and Ecology.

The scientist has contributed extensively to topics concerning marine and coastal ecosystems, oceanographic and atmospheric processes, and climate variability and models. Other notable research interests include atmospheric and environmental gas dynamics, ocean waves and remote sensing, coral and marine ecosystems studies, and remote sensing applications in agriculture.

Wei Shi has a record of publications in several academic journals and venues. Frequent venues include:

  • Scientific Reports
  • Remote Sensing
  • Science of Remote Sensing
  • Journal of Marine Systems
  • Academic Radiology

Prominent recent papers authored by Wei Shi include:

  • "A biological Indian Ocean Dipole event in 2019," 2021, Scientific Reports
  • "Phytoplankton biomass dynamics in the Arabian Sea from VIIRS observations," 2021, Journal of Marine Systems

Other papers closely related to their research area, though with different lead authors, emphasize similar topics of oceanographic observation and remote sensing in marine environments.

Wei Shi has collaborated frequently with several fellow researchers, including:

  • Menghua Wang
  • Chen Yang
  • Yaoyao Cui
  • Steven D. Miller
  • Steven H. D. Haddock

These collaborations reflect a multidisciplinary approach involving expertise in marine sciences, remote sensing technologies, and environmental monitoring.

Best Publications

  • The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system

    Kenneth E. Mitchell;Dag Lohmann;Paul R. Houser;Eric F. Wood

  • Assessing objective techniques for gauge-based analyses of global daily precipitation

    Mingyue Chen;Wei Shi;Pingping Xie;Viviane B. S. Silva

  • The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing

    Menghua Wang;Wei Shi

  • Evaluation of MODIS SWIR and NIR-SWIR atmospheric correction algorithms using SeaBASS data

    Menghua Wang;Menghua Wang;SeungHyun Son;SeungHyun Son;SeungHyun Son;Wei Shi;Wei Shi;Wei Shi

  • Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies

    Menghua Wang;Menghua Wang;Wei Shi

  • Extreme Precipitation Events in the Western United States Related to Tropical Forcing

    R. W. Higgins;J.-K. E. Schemm;W. Shi;A. Leetmaa

  • Water property monitoring and assessment for China's inland Lake Taihu from MODIS-Aqua measurements

    Menghua Wang;Wei Shi;Wei Shi;Junwu Tang

  • Intercomparison of the Principal Modes of Interannual and Intraseasonal Variability of the North American Monsoon System

    Unknown

  • An assessment of the black ocean pixel assumption for MODIS SWIR bands

    Wei Shi;Wei Shi;Menghua Wang

  • Cloud Masking for Ocean Color Data Processing in the Coastal Regions

    Menghua Wang;Wei Shi

  • Satellite views of the Bohai Sea, Yellow Sea, and East China Sea

    Wei Shi;Wei Shi;Menghua Wang

  • Green macroalgae blooms in the Yellow Sea during the spring and summer of 2008

    Wei Shi;Wei Shi;Menghua Wang

  • Impacts of VIIRS SDR performance on ocean color products

    Menghua Wang;Xiaoming Liu;Xiaoming Liu;Liqin Tan;Liqin Tan;Lide Jiang;Lide Jiang

  • MODIS‐derived ocean color products along the China east coastal region

    Menghua Wang;Junwu Tang;Wei Shi

  • Dominant Factors Responsible for Interannual Variability of the Summer Monsoon in the Southwestern United States

    Unknown

  • Observations of a Hurricane Katrina‐induced phytoplankton bloom in the Gulf of Mexico

    Wei Shi;Menghua Wang

  • An Improved Gridded Historical Daily Precipitation Analysis for Brazil

    Viviane B. S. Silva;Vernon E. Kousky;Wei Shi;R. Wayne Higgins

  • Satellite observations of the seasonal sediment plume in central East China Sea

    Wei Shi;Wei Shi;Menghua Wang

  • Detection of turbid waters and absorbing aerosols for the MODIS ocean color data processing

    Wei Shi;Menghua Wang

  • Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region.

    Menghua Wang;Wei Shi;Lide Jiang

  • Satellite observations of flood-driven Mississippi River plume in the spring of 2008

    Wei Shi;Wei Shi;Menghua Wang

  • Bias Adjustment of Satellite Precipitation Estimation Using Ground-Based Measurement: A Case Study Evaluation over the Southwestern United States

    Farid Ishak Boushaki;Kuo-Lin Hsu;Soroosh Sorooshian;Gi-Hyeon Park

Frequent Co-Authors

Menghua Wang
Menghua Wang National Oceanic and Atmospheric Administration
Yunlin Zhang
Yunlin Zhang Chinese Academy of Sciences
Kenneth J. Voss
Kenneth J. Voss University of Miami
William G. Pichel
William G. Pichel National Oceanic and Atmospheric Administration
David Gochis
David Gochis National Center for Atmospheric Research

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