Xuemei Liu

872 citations
27 papers · 431 · h-index 12

Impact in

Papers in

Xuemei Liu

26 papers receiving 430 citations

Peers

Xuemei Liu
Comparison fields: 5 of 100
  • Behavioral Neuroscience 23
  • Cognitive Neuroscience 123
  • Cellular and Molecular Neuroscience 113
  • Pollution 55
  • Sensory Systems 16
Replace Tracey Wheeler with:
Tracey Wheeler United States
Sarah Robinson United States
Weisheng Wang China
Kun Li China
A. J. Smith United States
Xiaomei Liao China
John R. Martin United States
Colette vom Berg Switzerland
María A. Carrasco Brazil
P. K. Mishra India
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Citations per field
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Citations per year

Countries citing papers authored by Xuemei Liu

Since Specialization
Citations

This map shows the geographic impact of Xuemei Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xuemei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuemei Liu more than expected).

Fields of papers citing papers by Xuemei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuemei Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xuemei Liu. The network helps show where Xuemei Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xuemei Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xuemei Liu Line = papers co-authored together Xuemei Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 202245
3 201525
4 202021
5 201920
6 202318
7 202216
8 201916
9 202115
10 201814
11 202113
12 202413
13 202211
14 20239
15 20219
16 20219
17 20236
18 20236
19 20214
20
Analysis of soil slope’s transient stability under intensive rainfall
20083

About Xuemei Liu

Xuemei Liu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Management, Monitoring, Policy and Law, Pollution and Environmental Chemistry, having authored 27 papers that have together received 431 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Landslides and related hazards (5 papers), Fish Ecology and Management Studies (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Tree Root and Stability Studies (3 papers), Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers) and Plant Surface Properties and Treatments (2 papers). The work is most often cited by research in Behavioral Neuroscience (23 citations), Cognitive Neuroscience (123 citations), Cellular and Molecular Neuroscience (113 citations), Pollution (55 citations) and Sensory Systems (16 citations). Xuemei Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Liping Wang, Zheng Zhou, Guangxin Zhang, Jingjie Zhang, Lei Li, Yuanming Liu, Fuqiang Xu, Chen Chen, Ru Song and Yongqiang Tang. Their work appears in journals such as Frontiers in Earth Science, Science Bulletin, Water Research, Environmental Pollution and Frontiers in Plant Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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