World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
61
Citations
11496
World Ranking
2809
National Ranking
1114

Ruiliang Pu 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 Ruiliang Pu 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: 175 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Ruiliang Pu 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 Ruiliang Pu 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: 61 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Ruiliang Pu is affiliated with the University of South Florida in the United States. Their research primarily focuses on environmental science, with a substantial concentration on global and planetary change, ecology, environmental engineering, atmospheric science, and health-related toxicology and mutagenesis.

The scientist's work addresses various aspects of land use and ecosystem services, remote sensing applications in agriculture, urban heat island mitigation, urban green space and health, coastal wetland ecosystem dynamics, remote sensing and LiDAR technologies, as well as climate change and permafrost studies.

Recent publications by Ruiliang Pu include the following papers:

  • Mapping Tree Species Using Advanced Remote Sensing Technologies: A State-of-the-Art Review and Perspective, 2021, Journal of Remote Sensing
  • An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives, 2021, European Journal of Agronomy
  • Assessing spatiotemporal characteristics of urban heat islands from the perspective of an urban expansion and green infrastructure, 2021, Sustainable Cities and Society
  • A preliminary exploration of the cooling effect of tree shade in urban landscapes, 2020, International Journal of Applied Earth Observation and Geoinformation
  • Construction of ecological security patterns and ecological restoration zones in the city of Ningbo, China, 2022, Journal of Geographical Sciences

Frequent collaborators in their work include Peng Tian, Luodan Cao, Haitao Zhang, Yongchao Liu, and Hongbo Gong. These coauthors indicate an active research network supporting multidisciplinary studies.

The scientist regularly publishes in several journals. Notable venues with multiple publications include:

  • Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • Journal of Geographical Sciences
  • Ecological Indicators
  • Land

Best Publications

  • Monitoring plant diseases and pests through remote sensing technology: a review.

    Jingcheng Zhang;Yanbo Huang;Ruiliang Pu;Pablo Gonzalez-Moreno

  • Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data

    Peng Gong;Ruiliang Pu;G.S. Biging;M.R. Larrieu

  • A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species

    Ruiliang Pu;Shawn Landry

  • Land-use/land-cover change detection using improved change-vector analysis

    Jing Chen;Peng Gong;Chunyang He;Ruiliang Pu

  • Conifer species recognition: An exploratory analysis of in situ hyperspectral data

    Peng Gong;Ruiliang Pu;Bin Yu

  • Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index

    Ruiliang Pu;Peng Gong;G.S. Biging;M.R. Larrieu

  • Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval

    Ruiliang Pu;Ruiliang Pu;Peng Gong;Peng Gong;Ryo Michishita;Todashi Sasagawa

  • Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping

    Ruiliang Pu;Ruiliang Pu;Peng Gong;Peng Gong

  • Spectral absorption features as indicators of water status in coast live oak (Quercus agrifolia) leaves

    Ruiliang Pu;S. Ge;N. M. Kelly;Peng Gong

  • Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery

    Ruiliang Pu;Shawn Landry;Qian Yu

  • Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements

    Jing-Cheng Zhang;Rui-Liang Pu;Ji-Hua Wang;Wen-Jiang Huang

  • Seasonal Patterns and Remote Spectral Estimation of Canopy Chemistry Across the Oregon Transect

    Pamela A. Matson;Lee Johnson;Christine Billow;John Miller

  • Analysis of in situ hyperspectral data for nutrient estimation of giant sequoia

    Peng Gong;Ruiliang Pu;R. C. Heald

  • A Weighted Normalized Difference Water Index for Water Extraction using Landsat Imagery

    Qiandong Guo;Ruiliang Pu;Jialin Li;Jun Cheng

  • Assessing spatiotemporal characteristics of urban heat islands from the perspective of an urban expansion and green infrastructure

    Peng Tian;Jialin Li;Luodan Cao;Ruiliang Pu

  • An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

    Yuanyuan Fu;Guijun Yang;Ruiliang Pu;Zhenhai Li

  • Spectral mixture analysis for mapping abundance of urban surface components from the Terra/ASTER data

    Ruiliang Pu;Ruiliang Pu;Ruiliang Pu;Peng Gong;Peng Gong;Ryo Michishita;Todashi Sasagawa

  • Downscaling Thermal Infrared Radiance for Subpixel Land Surface Temperature Retrieval

    Desheng Liu;Ruiliang Pu

  • Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses

    Jingcheng Zhang;Jingcheng Zhang;Jingcheng Zhang;Ruiliang Pu;Wenjiang Huang;Wenjiang Huang;Lin Yuan;Lin Yuan

  • Coniferous forest leaf area index estimation along the Oregon transect using compact airborne spectrographic imager data

    Peng Gong;Ruiliang Pu;J. R. Miller

  • Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition

    B. Yu;M. Ostland;P. Gong;R. Pu

  • Spectroscopic determination of wheat water status using 1650-1850 nm spectral absorption features

    Q. Tian;Q. Tong;Ruiliang Pu;X. Guo

  • Advances in Environmental Remote Sensing : Sensors, Algorithms, and Applications

    Unknown

Frequent Co-Authors

Peng Gong
Peng Gong University of Hong Kong
Guijun Yang
Guijun Yang Center for Information Technology
Susan S. Bell
Susan S. Bell University of South Florida
Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Zhanqing Li
Zhanqing Li University of Maryland, College Park
John R. Miller
John R. Miller York University
Bing Xu
Bing Xu Tsinghua University
Bin Yu
Bin Yu University of California, Berkeley
Peijun Shi
Peijun Shi Beijing Normal University
Ivan Csiszar
Ivan Csiszar National Oceanic and Atmospheric Administration

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

Pursuing a career in Environmental Sciences often opens doors to diverse educational opportunities that blend science with leadership and policy-making. For those considering advanced education, exploring online edd programs no dissertation can be a strategic choice, especially for professionals aiming to enhance educational leadership skills without the traditional dissertation hurdle.

For educators and administrators interested in advancing from educational specialist to doctorate levels, the best online eds to edd programs provide a streamlined pathway to achieve highest credentials while maintaining flexibility.

Those passionate about social sciences within environmental contexts may benefit from fully funded dsw programs online, allowing for doctoral studies in social work with funding support, merging environment and community welfare disciplines.

Additionally, starting with an accredited affordable online general studies degree can provide a versatile foundation for students exploring interdisciplinary paths before specializing in environmental sciences.

Best Scientists Citing Ruiliang Pu

Trending Scientists

Recently Published Articles