Ruihan Wang

547 citations
18 papers · 396 indexed · 1 hit paper · h-index 7
Topics
Machine Fault Diagnosis Techniques (8 papers)Fault Detection and Control Systems (7 papers)Engineering Diagnostics and Reliability (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsACS Applied Materials & Interfaces

In The Last Decade

Ruihan Wang

15 papers receiving 386 citations

Hit Papers

A Novel Deep Learning Method for Intelligent Fault Diagno...2019202620212023201950100150

Peers

Ruihan Wang
Comparison fields: 5 of 63
  • Control and Systems Engineering 256
  • Mechanical Engineering 118
  • Mechanics of Materials 113
  • Artificial Intelligence 58
  • Electrical and Electronic Engineering 43
Replace Xiaojian Xu with:
Xiaojian Xu China
Pengcheng Jiang China
Junqiang Liu China
Alessandro Paolo Daga Italy
Shixi Ma China
Jie Tao China
Jong-Duk Son South Korea
Chengying Zhao China
M. Saimurugan India
Muheng Wei China
Ruihan Wang relative to Xiaojian Xu China Xiaojian Xu's profile →
Citations per field
00.5×1.5×2.0×
Xiaojian Xu · 1×
Citations per year

Countries citing papers authored by Ruihan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruihan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihan Wang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 11
6 25
7 2
8 24
9 0
10 37
11 6
12 2
13 46
14 6
15 43
16 4
17
A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusionbreakdown →
185
18
Online detection algorithm of power system fault using limited PMUs
1

About Ruihan Wang

Ruihan Wang is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Mechanics of Materials, having authored 18 papers that have together received 396 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (8 papers), Fault Detection and Control Systems (7 papers) and Engineering Diagnostics and Reliability (4 papers). The work is most often cited by research in Control and Systems Engineering (256 citations), Mechanics of Materials (113 citations) and Mechanical Engineering (118 citations). Ruihan Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hui Chen, Cong Guan, Zehui Zhang, Wenfeng Gong, Qin Wang, Meiling Zhang, Ran Yan, Xinyu Meng, Zhengxia Wang and Shaohan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.

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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