Qiang Bai

1.5k total citations · 1 hit paper
42 papers, 851 citations indexed

About

Qiang Bai is a scholar working on Mechanical Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Qiang Bai has authored 42 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 10 papers in Control and Systems Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Qiang Bai's work include Robot Manipulation and Learning (6 papers), Effects of Environmental Stressors on Livestock (5 papers) and Soft Robotics and Applications (5 papers). Qiang Bai is often cited by papers focused on Robot Manipulation and Learning (6 papers), Effects of Environmental Stressors on Livestock (5 papers) and Soft Robotics and Applications (5 papers). Qiang Bai collaborates with scholars based in China, Japan and United States. Qiang Bai's co-authors include Shaobo Li, Jing Yang, Xingxing Zhang, Zhiang Li, Ansi Zhang, Yasunobu Fujita, Fengzhang Ren, Yaorong Feng, Dejun Li and Qifeng Li and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Surface Science.

In The Last Decade

Qiang Bai

38 papers receiving 821 citations

Hit Papers

Review of Image Classification Algorithms Based on Convol... 2021 2026 2022 2024 2021 100 200 300 400

Peers

Qiang Bai
Comparison fields: 5 of 141
  • Computer Vision and Pattern Recognition 215
  • Mechanical Engineering 158
  • Control and Systems Engineering 137
  • Artificial Intelligence 135
  • Biomedical Engineering 93
Replace Paul Murray with:
Paul Murray United Kingdom
Jiangming Kan China
Xiaoxiao Niu China
Kamarul Hawari Ghazali Malaysia
Jun Ding China
Xiaolong Zhou China
Wenjie Wang China
Wentao Liu China
Zefei Zhu China
Guiqing Li China
Paul Murray United Kingdom View profile →
Citations per field, relative to Qiang Bai
Qiang Bai · 1×
Citations per year, relative to Qiang Bai
Qiang Bai · 1×

Countries citing papers authored by Qiang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Bai. A scholar is included among the top collaborators of Qiang 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 Qiang Bai. Qiang 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 5
2 0
3 0
4 2
5 11
6 7
7 1
8 1
9 16
10 3
11 7
12 7
13 3
14 17
15
Review of Image Classification Algorithms Based on Convolutional Neural Networks breakdown →
406
16 28
17 1
18 6
19
Analysis on Reasons for Instability of Mechanical Performance of N80Q Casing
1
20 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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