World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
8668
World Ranking
6041
National Ranking
2183

Guofan Shao 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 Guofan Shao 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: 166 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Guofan Shao 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 Guofan Shao 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: 46 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Guofan Shao is affiliated with Purdue University West Lafayette in the United States and specializes in Environmental Science. Their research spans multiple subfields, including Global and Planetary Change, Environmental Engineering, Ecology, Health, Toxicology and Mutagenesis, and Nature and Landscape Conservation.

The scientist's work addresses various topics related to land use, ecosystems, and urban environments. Key research themes include Land Use and Ecosystem Services, Remote Sensing and LiDAR Applications, Urban Green Space and Health, Remote Sensing in Agriculture, Forest Ecology and Management, Urban Heat Island Mitigation, and Urban Transport and Accessibility.

Guofan Shao has contributed to a number of recent publications, reflecting a focus on remote sensing, ecology, and sustainability:

  • "A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing" (2020), Journal of Forestry Research
  • "An evaluation of urban green space in Shanghai, China, using eye tracking" (2020), Urban Forestry & Urban Greening
  • "Automatic Identification of Individual Primates with Deep Learning Techniques" (2020), iScience
  • "Remarks about landsenses ecology and ecosystem services" (2020), International Journal of Sustainable Development & World Ecology
  • "Effects of Land Use on Stream Water Quality in the Rapidly Urbanized Areas: A Multiscale Analysis" (2020), Water

Frequent publication venues for Shao include:

  • Remote Sensing
  • Journal of Forestry Research
  • International Journal of Sustainable Development & World Ecology
  • Sustainability
  • Ecological Indicators

Collaborative work has been conducted with several co-authors who have contributed multiple times alongside Shao. These frequent collaborators include Lina Tang, Joseph P. Hupy, Ting Lan, Zhibang Xu, and Zhonghao Zhang.

Best Publications

  • A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing

    Sha Huang;Sha Huang;Lina Tang;Joseph P. Hupy;Yang Wang

  • China's forest policy for the 21st century.

    Peichang Zhang;Guofan Shao;Guang Zhao;Dennis C. Le Master

  • Drone remote sensing for forestry research and practices

    Lina Tang;Guofan Shao

  • On the accuracy of landscape pattern analysis using remote sensing data

    Guofan Shao;Jianguo Wu;Jianguo Wu

  • Polycyclic aromatic hydrocarbons (PAHs) in atmospheric PM2.5 and PM10 at a coal-based industrial city: Implication for PAH control at industrial agglomeration regions, China

    Di Wu;Zongshuang Wang;Jianhua Chen;Shaofei Kong

  • Simulating forest ecosystem response to climate warming incorporating spatial effects in north‐eastern China

    Hong S. He;Hong S. He;Zhanqing Hao;David J. Mladenoff;Guofan Shao

  • Landsenses ecology and ecological planning toward sustainable development

    Jingzhu Zhao;Xin Liu;Rencai Dong;Guofan Shao

  • Geomorphological controls on coastal vegetation at the Virginia Coast Reserve

    Bruce P. Hayden;Marcio C.F.V. Santos;Guofan Shao;R.Craig Kochel

  • Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations

    Jiangfu Liao;Lina Tang;Guofan Shao;Xiaodan Su

  • An evaluation of urban green space in Shanghai, China, using eye tracking

    Jie Li;Jie Li;Zhonghao Zhang;Fu Jing;Jun Gao

  • Object-Based Land-Cover Mapping with High Resolution Aerial Photography at a County Scale in Midwestern USA

    Xiaoxiao Li;Guofan Shao

  • The planning, construction, and management toward sustainable cities in China needs the Environmental Internet of Things

    Jingzhu Zhao;Xiancao Zheng;Rencai Dong;Guofan Shao

  • Object-based urban vegetation mapping with high-resolution aerial photography as a single data source

    Xiaoxiao Li;Guofan Shao

  • Decision Support Systems in Forest Management

    Keith M. Reynolds;Mark Twery;Manfred J. Lexer;Harald Vacik

  • Forest cover types derived from Landsat Thematic Mapper imagery for Changbai Mountain area of China

    Guofan Shao;Herman H. Shugart;Guang Zhao;Shidong Zhao

  • Climatic controls of eastern North American coastal tree and shrub distributions

    Guofan Shao;Patrick N. Halpin

  • Opportunities and challenges for the protection and ecological functions promotion of natural forests in China

    Limin Dai;Shanlin Li;Wangming Zhou;Lin Qi

  • Forest degradation deepens around and within protected areas in East Asia

    Lina Tang;Guofan Shao;Zhengji Piao;Limin Dai

  • Dynamic simulations of mixed broadleaved-Pinus koraiensis forests in the Changbaishan Biosphere Reserve of China

    Guofan Shao;Peter Schall;John F. Weishampel

  • The progress of operational forest fire monitoring with infrared remote sensing

    Lizhong Hua;Guofan Shao

  • Spatial and temporal growth dynamics of Barrier Island shrub thickets

    Donald R. Young;Guofan Shao;John H. Porter

  • A neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence

    Jiangfu Liao;Lina Tang;Guofan Shao;Quanyi Qiu

Frequent Co-Authors

Donald R. Young
Donald R. Young Virginia Commonwealth University
Herman H. Shugart
Herman H. Shugart University of Virginia
Hong S. He
Hong S. He University of Missouri
Jianguo Wu
Jianguo Wu Arizona State University
Hong Yang
Hong Yang University of Reading
Zhanqing Hao
Zhanqing Hao Northwestern Polytechnical University
Harald Bugmann
Harald Bugmann ETH Zurich
David J. Mladenoff
David J. Mladenoff University of Wisconsin–Madison
Robert K. Swihart
Robert K. Swihart Purdue University West Lafayette
Robert B. Jackson
Robert B. Jackson Stanford University

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