Xuemei Li

769 citations
29 papers · 645 indexed · h-index 12
Topics
Neural Networks Stability and Synchronization (6 papers)Nonlinear Differential Equations Analysis (5 papers)Advanced biosensing and bioanalysis techniques (5 papers)

In The Last Decade

Xuemei Li

28 papers receiving 630 citations

Peers

Xuemei Li
Comparison fields: 5 of 83
  • Molecular Biology 292
  • Materials Chemistry 216
  • Electrical and Electronic Engineering 160
  • Biomedical Engineering 133
  • Electrochemistry 107
Replace Fengguang Zhao with:
Fengguang Zhao China
José Ilton de Oliveira Filho Saudi Arabia
Yunfei Tang China
A.R. Wright United Kingdom
Junlang Chen China
Shailendra K. Jha India
Wenting Wang China
Guifang Cheng China
Lijun Wei China
Xuemei Li relative to Fengguang Zhao China Fengguang Zhao's profile →
Citations per field
00.5×8.7×
Fengguang Zhao · 1×
Citations per year

Countries citing papers authored by Xuemei Li

Since Specialization
Citations

This map shows the geographic impact of Xuemei Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuemei Li more than expected).

Fields of papers citing papers by Xuemei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuemei Li. 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 Li. The network helps show where Xuemei Li may publish in the future.

Co-authorship network of co-authors of Xuemei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuemei Li. A scholar is included among the top collaborators of Xuemei Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuemei Li. Xuemei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 9
3 9
4 10
5 7
6 11
7 80
8 15
9 27
10 6
11 41
12 18
13 277
14
Process of wind load in geologic hazards
1
15 6
16 13
17 0
18 6
19 1
20
Stability of Shunting Inhibitory Cellular Neural Networks
1

About Xuemei Li

Xuemei Li is a scholar working on Modeling and Simulation, Applied Mathematics and Computer Networks and Communications, having authored 29 papers that have together received 645 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (6 papers), Nonlinear Differential Equations Analysis (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Electrochemistry (107 citations), Modeling and Simulation (28 citations) and Renewable Energy, Sustainability and the Environment (79 citations). Xuemei Li has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Shusheng Zhang, Kong-Cheng Hu, Xinge Liu, Qizhong Zhang, Shusheng Zhang, Xiaoquan Lu, Shouting Zhang, Duoliang Shan, Zhen Zhang and Xuehong Zhang. Their work appears in journals such as Analytical Chemistry, Chemical Communications and Analytica Chimica Acta.

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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