Baiyan Liu

524 citations
37 papers · 395 indexed · 1 hit paper · h-index 13

Baiyan Liu

34 papers receiving 393 citations

Hit Papers

High‐Precision Multibit Opto‐Electronic Synapses Based on...22202520265101520

Peers

Baiyan Liu
Comparison fields: 5 of 99
  • Neurology 101
  • Complementary and alternative medicine 80
  • Biological Psychiatry 19
  • Developmental Neuroscience 19
  • Pharmacology 30
Replace Shuang He with:
Shuang He China
Weian Chen China
Wenjun Fu China
Jaesuk Lee South Korea
Anurag Tripathi India
Lulu Tan China
Zachary A. Pfeiffer United States
Wenjuan Shen China
Tianwen Wu China
Rong Yan China
Baiyan Liu relative to Shuang He China Shuang He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Baiyan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Baiyan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
High‐Precision Multibit Opto‐Electronic Synapses Based on ReS 2 /h‐BN/Graphene Heterostructure for Energy‐Efficient and High‐Accuracy Neuromorphic Computingbreakdown →
202522
2 20251
3 20241
4 20243
5 20247
6 20240
7 20249
8 202312
9 20239
10 202312
11 20226
12 202211
13 202222
14 202211
15 202127
16 20201
17 201728
18 20144
19
The Basis of Modern Biology About the Relation of Liver and Spleen In TCM
20100
20 200784

About Baiyan Liu

Baiyan Liu is a scholar working on Neurology, Complementary and alternative medicine and Developmental Neuroscience, having authored 37 papers that have together received 395 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Neurological Disease Mechanisms and Treatments (5 papers), Antioxidants, Aging, Portulaca oleracea (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Enhanced Oil Recovery Techniques (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Neurology (101 citations), Complementary and alternative medicine (80 citations) and Biological Psychiatry (19 citations). Baiyan Liu has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Bowei Chen, Xuemei Chen, Jianhui Rong, Jiangang Shen, Tong Li, Yaqian Xu, Yingfei Liu, Piao Zheng, Jimmy Xiangji Huang and Chong Lin. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and Journal of Ethnopharmacology.

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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