Ying Bai

1.9k total citations
92 papers, 1.1k citations indexed

About

Ying Bai is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Ying Bai has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Mechanical Engineering. Recurrent topics in Ying Bai's work include Robotic Mechanisms and Dynamics (12 papers), Iterative Learning Control Systems (9 papers) and Medical Image Segmentation Techniques (9 papers). Ying Bai is often cited by papers focused on Robotic Mechanisms and Dynamics (12 papers), Iterative Learning Control Systems (9 papers) and Medical Image Segmentation Techniques (9 papers). Ying Bai collaborates with scholars based in United States, China and United Kingdom. Ying Bai's co-authors include Dali Wang, Andrew Hibbs, Chulsung Park, Pai H. Chou, Robert Matthews, Jiying Zhao, Xinran Wang, Hanqi Zhuang, Chuan Wu and Ruiqi Guo and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ying Bai

77 papers receiving 1.1k citations

Peers

Ying Bai
Comparison fields: 5 of 151
  • Electrical and Electronic Engineering 275
  • Control and Systems Engineering 221
  • Biomedical Engineering 220
  • Mechanical Engineering 182
  • Computer Vision and Pattern Recognition 181
Replace Honghai Zhang with:
Honghai Zhang China
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Petros Karvelis Greece
Edmond Q. Wu China
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Wilfrido Moreno United States
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Honghai Zhang China View profile →
Citations per field, relative to Ying Bai
Ying Bai · 1×
Citations per year, relative to Ying Bai
Ying Bai · 1×

Countries citing papers authored by Ying Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ying Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Bai. A scholar is included among the top collaborators of Ying 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 Ying Bai. Ying 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 0
4 1
5 2
6 0
7 0
8 2
9 41
10 4
11 2
12 13
13 18
14 9
15 25
16 2
17 7
18 0
19 4
20
Advanced Fuzzy Logic Technologies in Industrial Applications (Advances in Industrial Control)
9

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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