Renhe Yao

472 citations
20 papers · 357 · 1 hit paper · h-index 9

Impact in

Papers in

Renhe Yao

18 papers receiving 346 citations

Renhe Yao's Hit Papers

Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples 2024 · 60 citations
600+1Years since publication204060

Peers

Renhe Yao
Comparison fields: 5 of 38
  • Control and Systems Engineering 305
  • Mechanical Engineering 174
  • Mechanics of Materials 86
  • Industrial and Manufacturing Engineering 24
  • Safety, Risk, Reliability and Quality 19
Replace Qiqiang Wu with:
Qiqiang Wu China
Guoqiang Li China
Dikang Peng China
Haizhou Huang China
Andrés Ferrada Chile
Shuzhi Dong China
Zhen Shi China
Ali Dibaj Norway
Tianjing He China
Renhe Yao relative to Qiqiang Wu China Qiqiang Wu's profile →
Citations per field
00.5×1.5×2.2×
Qiqiang Wu · 1×
Citations per year

Countries citing papers authored by Renhe Yao

Since Specialization
Citations

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

Fields of papers citing papers by Renhe Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Renhe Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Renhe Yao Line = papers co-authored together Renhe Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples
Hit paper breakdown →
202460
2 202154
3 202351
4 202350
5 202250
6 202131
7 202111
8 202211
9 20248
10 20237
11 20217
12 20236
13 20234
14 20242
15 20242
16 20251
17 20231
18 20241
19 20240
20 20260

About Renhe Yao

Renhe Yao is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (20 papers), Gear and Bearing Dynamics Analysis (16 papers), Fault Detection and Control Systems (11 papers), Engineering Diagnostics and Reliability (2 papers), Mechanical Failure Analysis and Simulation (2 papers), Imbalanced Data Classification Techniques (1 paper), Reliability and Maintenance Optimization (1 paper) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (305 citations), Mechanical Engineering (174 citations), Mechanics of Materials (86 citations), Industrial and Manufacturing Engineering (24 citations) and Safety, Risk, Reliability and Quality (19 citations). Renhe Yao has collaborated with scholars based in China, United States and India. Frequent co-authors include Hongkai Jiang, Yunpeng Liu, Tao Zeng, Xingqiu Li, Yutong Dong, Kaibo Wang, Qiao Yang, Mingzhe Mu, Chaoqiang Liu and Zhenghong Wu. Their work appears in journals such as Measurement Science and Technology, ISA Transactions, Mechanical Systems and Signal Processing, Science China Technological Sciences and Engineering Applications of Artificial Intelligence.

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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