Xu Wang

1.9k citations
143 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

Xu Wang

129 papers receiving 1.5k citations

Xu Wang's Hit Papers

Multi-scale deep intra-class transfer learning for bearing fault diagnosis 2020 · 284 citations
2840+2+4Years since publication50100150200250

Peers

Xu Wang
Comparison fields: 5 of 85
  • Control and Systems Engineering 506
  • Automotive Engineering 123
  • Civil and Structural Engineering 191
  • Computational Mechanics 134
  • General Engineering 2
Replace Anooshiravan Farshidianfar with:
Anooshiravan Farshidianfar Iran
Yean‐Ren Hwang Taiwan
Chih-Chun Cheng Taiwan
Shigehiko KANEKO Japan
Mehdi Behzad Iran
Weiguang Zheng China
Ferruccio Resta Italy
Weihua Zhang China
Yat Sze Choy Hong Kong
Anders Brandt Denmark
Xu Wang relative to Anooshiravan Farshidianfar Iran Anooshiravan Farshidianfar's profile →
Citations per field
00.5×1.5×1.8×
Anooshiravan Farshidianfar · 1×
Citations per year

Countries citing papers authored by Xu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xu Wang, 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 Xu Wang Line = papers co-authored together Xu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-scale deep intra-class transfer learning for bearing fault diagnosis
Hit paper breakdown →
2020284
2 2018138
3 2017136
4 201893
5 202249
6 201844
7 201140
8 202037
9 202334
10 201833
11 200926
12 200825
13 201925
14 202025
15 201022
16 202222
17 202121
18 201119
19 202119
20 202118

About Xu Wang

Xu Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Signal Processing, Civil and Structural Engineering and Cognitive Neuroscience, having authored 143 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (9 papers), Non-Invasive Vital Sign Monitoring (9 papers), Speech and Audio Processing (8 papers), Electrical and Bioimpedance Tomography (8 papers), Speech Recognition and Synthesis (7 papers), Medical Image Segmentation Techniques (6 papers), Sensorless Control of Electric Motors (6 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Control and Systems Engineering (506 citations), Automotive Engineering (123 citations), Civil and Structural Engineering (191 citations), Computational Mechanics (134 citations) and General Engineering (2 citations). Xu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhongkui Zhu, Dong Wang, Changqing Shen, Min Xia, Jun Zhu, Dan di Yang, Guangyu Tian, Yong Huang, Tian He and Qiji Sun. Their work appears in journals such as Scientific Reports, Applied Optics, IEEE Transactions on Power Electronics, Case Studies in Construction Materials 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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