Ruxue Bai

676 citations
14 papers · 523 indexed · 1 hit paper · h-index 8
Topics
Machine Fault Diagnosis Techniques (4 papers)Gear and Bearing Dynamics Analysis (3 papers)Machine Learning and ELM (2 papers)
Partner nations
ChinaSpainGermany

In The Last Decade

Ruxue Bai

14 papers receiving 499 citations

Hit Papers

An enhanced convolutional neural network for bearing faul...2020202620222024202050100150200

Peers

Ruxue Bai
Comparison fields: 5 of 53
  • Control and Systems Engineering 352
  • Mechanical Engineering 252
  • Mechanics of Materials 139
  • Civil and Structural Engineering 61
  • Artificial Intelligence 58
Replace Hongbo Ma with:
Hongbo Ma China
Shaopu Yang China
Bachir Bensaker Algeria
Yi Du China
Zhenling Mo China
Jeevanand Seshadrinath India
Guoqiang Li China
Qiuhua Miao China
Zhuang Ye China
Xiaolong Zhang China
Ruxue Bai relative to Hongbo Ma China Hongbo Ma's profile →
Citations per field
00.5×1.6×
Hongbo Ma · 1×
Citations per year

Countries citing papers authored by Ruxue Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ruxue Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruxue Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ruxue Bai. A scholar is included among the top collaborators of Ruxue 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 Ruxue Bai. Ruxue Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 4
3 1
4 7
5 26
6 31
7 78
8 7
9 1
10 16
11 1
12 94
13
An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency imagebreakdown →
215
14 41

About Ruxue Bai

Ruxue Bai is a scholar working on General Engineering, Software and Control and Systems Engineering, having authored 14 papers that have together received 523 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (4 papers), Gear and Bearing Dynamics Analysis (3 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Control and Systems Engineering (352 citations), Mechanical Engineering (252 citations) and General Engineering (7 citations). Ruxue Bai has collaborated with scholars based in China, Spain and Germany. Frequent co-authors include Zong Meng, Dengyun Sun, Ying Zhang, Quansheng Xu, Fengjie Fan, Lixiao Cao, Limin Peng, Chengyong Cao, Chenghua Shi and Mingfeng Lei. Their work appears in journals such as Expert Systems with Applications, Reliability Engineering & System Safety and IEEE Transactions on Instrumentation and Measurement.

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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