Yuan Bai

1.9k total citations · 1 hit paper
80 papers, 1.3k citations indexed

About

Yuan Bai is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Yuan Bai has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 13 papers in Electrical and Electronic Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Yuan Bai's work include Advanced Sensor and Energy Harvesting Materials (23 papers), Conducting polymers and applications (11 papers) and Viral Infections and Vectors (8 papers). Yuan Bai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (23 papers), Conducting polymers and applications (11 papers) and Viral Infections and Vectors (8 papers). Yuan Bai collaborates with scholars based in China, United States and United Kingdom. Yuan Bai's co-authors include Zhou Li, Xuecheng Qu, Hongqing Feng, Dan Luo, Engui Wang, Jiangtao Xue, Ruizeng Luo, Yansong Gai, Yu Cao and Xianxian Zhao and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Yuan Bai

73 papers receiving 1.3k citations

Hit Papers

Reshaping the Endogenous Electric Field to Boost Wound Re... 2023 2026 2024 2025 2023 40 80 120

Peers

Yuan Bai
Comparison fields: 5 of 134
  • Biomedical Engineering 677
  • Polymers and Plastics 345
  • Electrical and Electronic Engineering 213
  • Infectious Diseases 155
  • Cognitive Neuroscience 123
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Citations per field, relative to Yuan Bai
Yuan Bai · 1×
Citations per year, relative to Yuan Bai
Yuan Bai · 1×

Countries citing papers authored by Yuan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Bai. A scholar is included among the top collaborators of Yuan Bai 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 Yuan Bai. Yuan Bai 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
# Work Indexed citations
1 2
2 0
3 1
4 3
5 2
6 0
7 22
8 2
9 2
10 17
11 30
12 3
13 4
14 14
15 8
16 11
17 3
18 12
19
Suitable scale of oasis in Keriya River basin,Xinjiang
9
20
Improvement and Promotion of Deep Profile Control Technology for Water Injection Wells in Low Permeability Oilfields
1

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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