World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
9380
World Ranking
4750
National Ranking
200

Jiali Shang 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 Jiali Shang 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: 178 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Jiali Shang 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 Jiali Shang 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: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Jiali Shang is affiliated with Agriculture and Agriculture-Food Canada in Canada, focusing on research primarily in the environmental and agricultural sciences. Their work encompasses a significant volume of publications emphasizing remote sensing technologies and their applications within agricultural contexts.

The main fields of study for Jiali Shang include:

  • Environmental Science
  • Agricultural and Biological Sciences

Within these fields, the prominent subfields of their research are:

  • Environmental Engineering
  • Ecology
  • Global and Planetary Change
  • Plant Science
  • Aerospace Engineering

Their research topics cover a range of areas centered around remote sensing and agricultural applications:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Soil Moisture and Remote Sensing
  • Plant Water Relations and Carbon Dynamics
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Soil Geostatistics and Mapping
  • Leaf Properties and Growth Measurement

Jiali Shang has collaborated frequently with several co-authors, including:

  • Jiangui Liu
  • Jinfei Wang
  • Taifeng Dong
  • Yongxian Su
  • Budong Qian

The most frequent publication venues for their work are:

  • Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Computers and Electronics in Agriculture

Recent papers authored or co-authored by Jiali Shang include:

  • "Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture," 2020, Remote Sensing
  • "Review of Remote Sensing Applications in Grassland Monitoring," 2022, Remote Sensing
  • "Estimating Crop Biomass Using Leaf Area Index Derived from Landsat 8 and Sentinel-2 Data," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data," 2020, Remote Sensing
  • "Estimating Soil Moisture Over Winter Wheat Fields During Growing Season Using Machine-Learning Methods," 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Best Publications

  • Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

    Bing Lu;Phuong D. Dao;Jiangui Liu;Yuhong He

  • Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories

    Heather McNairn;Catherine Champagne;Jiali Shang;Delmar Holmstrom

  • Compact polarimetry overview and applications assessment

    F. J. Charbonneau;B. Brisco;R. K. Raney;H. McNairn

  • The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms

    Heather McNairn;Thomas J. Jackson;Grant Wiseman;Stephane Belair

  • Assessment of red-edge vegetation indices for crop leaf area index estimation.

    Taifeng Dong;Jiangui Liu;Jiali Shang;Budong Qian

  • The Contribution of ALOS PALSAR Multipolarization and Polarimetric Data to Crop Classification

    H. McNairn;Jiali Shang;Xianfeng Jiao;C. Champagne

  • RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring

    Grant Wiseman;Heather McNairn;Saeid Homayouni;Jiali Shang

  • Object-oriented crop mapping and monitoring using multi-temporal polarimetric RADARSAT-2 data

    Xianfeng Jiao;John M. Kovacs;Jiali Shang;Heather McNairn

  • Review of Remote Sensing Applications in Grassland Monitoring

    Unknown

  • Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2

    Heather McNairn;Angela Kross;David Lapen;R. Caves

  • Estimating winter wheat biomass by assimilating leaf area index derived from fusion of Landsat-8 and MODIS data

    Taifeng Dong;Jiangui Liu;Budong Qian;Ting Zhao

  • Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data

    Francis Canisius;Jiali Shang;Jiangui Liu;Xiaodong Huang

  • A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop Monitoring

    Heather McNairn;Jiali Shang

  • AAFC annual crop inventory

    T. Fisette;P. Rollin;Z. Aly;L. Campbell

  • Multiyear Crop Monitoring Using Polarimetric RADARSAT-2 Data

    Chen Liu;Jiali Shang;P. W. Vachon;H. McNairn

  • Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data

    Taifeng Dong;Jiangui Liu;Budong Qian;Liming He

  • The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index

    Xianfeng Jiao;Heather McNairn;Jiali Shang;Elizabeth Pattey

  • Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean.

    Chunhua Liao;Jinfei Wang;Taifeng Dong;Jiali Shang

  • Towards operational radar-only crop type classification: comparison of a traditional decision tree with a random forest classifier

    B. Deschamps;H. McNairn;J. Shang;X. Jiao

  • Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results

    R. Magagi;A. A. Berg;K. Goita;S. Belair

  • Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration

    Taifeng Dong;Jiali Shang;Jing M. Chen;Jiangui Liu

  • Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada

    Jiali Shang;Jiangui Liu;Baoluo Ma;Ting Zhao

Frequent Co-Authors

Budong Qian
Budong Qian Agriculture and Agriculture-Food Canada
Qi Jing
Qi Jing Environment and Climate Change Canada
Heather McNairn
Heather McNairn Environment and Climate Change Canada
Bao-Luo Ma
Bao-Luo Ma Agriculture and Agriculture-Food Canada
Elizabeth Pattey
Elizabeth Pattey Agriculture and Agriculture-Food Canada
Jing M. Chen
Jing M. Chen University of Toronto
Raffaele Lafortezza
Raffaele Lafortezza University of Bari Aldo Moro
Juan M. Lopez-Sanchez
Juan M. Lopez-Sanchez University of Alicante
Bingfang Wu
Bingfang Wu Chinese Academy of Sciences
Brian McConkey
Brian McConkey Viresco Solutions Inc.

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