Science Explorer Back to mapMap
Discussion
Researcher · Central South University of Forestry and Technology · China

Liang Xiao-cui

Liang Xiao-cui publishes mostly in Ecology, Education and Water Science and Technology, on topics such as Forest, Soil, and Plant Ecology in China, Plant Ecology and Soil Science and Environmental and Agricultural Sciences.

OpenAlex
World rank
#7,306,609
of 7,710,434 ranked researchers
Rank in China
#955,354
of 978,568
Works
27
Citations
29
Citations per work
1.1
h-index
4
i10-index 0Top 94% in Ecology
Liang Xiao-cui

What does Liang Xiao-cui research?

Liang Xiao-cui's work is mostly in Environmental Science (45%), Social Sciences (16%), Agricultural and Biological Sciences (6%).

Physical Sciences: 14 works · 50.7% of their workEnvironmental Science: 12 works · 44.7% of their workEcology: 5 works · 19.4% of their workWater Science and Technology: 4 works · 13.4% of their workGlobal and Planetary Change: 3 works · 11.9% of their workEarth and Planetary Sciences: 2 works · 6.0% of their workAtmospheric Science: 2 works · 6.0% of their workEverything else: 7 works · 26.9% of their workSocial Sciences: 4 works · 16.4% of their workSocial Sciences: 4 works · 16.4% of their workEducation: 4 works · 16.4% of their workLife Sciences: 2 works · 6.0% of their workAgricultural and Biological Sciences: 2 works · 6.0% of their workPlant Science: 2 works · 6.0% of their workTHEIR WORKLiang Xiao-cui27works
Life Sciences6%Physical Sciences51%Social Sciences16%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Environmental Science1244.7%
    2. Earth and Planetary Sciences26.0%
  2. Everything else726.9%
    1. Social Sciences416.4%
    1. Agricultural and Biological Sciences26.0%
  1. 1Ecology19% of their works
  2. 2Education16% of their works
  3. 3Water Science and Technology13% of their works
  4. 4Global and Planetary Change12% of their works
  5. 5Atmospheric Science6% of their works
  6. 6Plant Science6% of their works

Research topics

Which keywords describe Liang Xiao-cui's research?

The keywords of their largest research topics: Climate Change, Remote Sensing, Water Resources, China, Environmental Impact, Global Change, Web-Based Education and Ecosystem.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 22 words, with their numbers
  1. Climate Change375 topics
  2. Remote Sensing375 topics
  3. Water Resources182 topics
  4. China142 topics
  5. Environmental Impact142 topics
  6. Global Change111 topic
  7. Web-Based Education111 topic
  8. Ecosystem91 topic
  9. Hydrological Effects91 topic
  10. Land Cover91 topic
  11. Soil Moisture91 topic
  12. Land Use Change82 topics
  13. Ecosystem Services51 topic
  14. Wetland Landscape51 topic
  15. Geohazards31 topic
  16. Hyperspectral Imaging31 topic
  17. Nitrogen Cycle31 topic
  18. Soil Carbon Sequestration31 topic
  19. Air Force21 topic
  20. Ecological Statistics21 topic
  21. Meta-Analysis21 topic
  22. Modernization21 topic

Where does Liang Xiao-cui work?

Liang Xiao-cui's main affiliation in the publication record is Central South University of Forestry and Technology, China.

How many publications and citations does Liang Xiao-cui have?

OpenAlex counts 27 works and 29 citations for Liang Xiao-cui, an h-index of 4, ranking #7,306,609 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Liang Xiao-cui. Posts are plain text and can be reported.