Xiaoying Lü

3.7k citations
167 papers · 2.9k · h-index 28

Impact in

Papers in

Xiaoying Lü

146 papers receiving 2.8k citations

Peers

Xiaoying Lü
Comparison fields: 5 of 149
  • Cellular and Molecular Neuroscience 1.4k
  • Behavioral Neuroscience 99
  • Research and Theory 23
  • Endocrine and Autonomic Systems 140
  • Developmental Neuroscience 79
Replace Tara L. Walker with:
Tara L. Walker Australia
Börje Bjelke Sweden
Lucía Petrelli Italy
Hongyu Sun China
Uk Namgung South Korea
Ho‐Won Lee South Korea
Andrew N. Clarkson New Zealand
Minah Suh South Korea
Huan Ma China
Isabelle Aubert Canada
Xiaoying Lü relative to Tara L. Walker Australia Tara L. Walker's profile →
Citations per field
00.5×4.0×
Tara L. Walker · 1×
Citations per year

Countries citing papers authored by Xiaoying Lü

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoying Lü, 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 Xiaoying Lü Line = papers co-authored together Xiaoying Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019177
2 2008122
3 2004113
4 2005112
5 2004105
6 201396
7 201191
8 200478
9 200068
10 201068
11 200862
12 200560
13 200958
14 200758
15 200657
16 200552
17 200750
18 200649
19 200548
20 200545

About Xiaoying Lü

Xiaoying Lü is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 167 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (48 papers), EEG and Brain-Computer Interfaces (31 papers), Muscle activation and electromyography studies (30 papers), Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (21 papers), Analog and Mixed-Signal Circuit Design (10 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers) and Bone Tissue Engineering Materials (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Behavioral Neuroscience (99 citations), Research and Theory (23 citations), Endocrine and Autonomic Systems (140 citations) and Developmental Neuroscience (79 citations). Xiaoying Lü has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tamás Bartfai, Andréy Mazarati, Kayo Mitsukawa, Zhigong Wang, Linda Lundström, Ülo Langel, Alasdair M. Barr, Masataka Kawai, Liming Fang and Fuzeng Ren. Their work appears in journals such as Neuropeptides, Journal of Biomedical Nanotechnology, Biomedical Materials, Proceedings of the National Academy of Sciences and Regenerative Biomaterials.

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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