Xinya Wu

619 citations
13 papers · 479 · 1 hit paper · h-index 8

Impact in

Papers in

Xinya Wu

12 papers receiving 465 citations

Xinya Wu's Hit Papers

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery 2020 · 197 citations
1970+2+4Years since publication50100150

Peers

Xinya Wu
Comparison fields: 5 of 58
  • Control and Systems Engineering 215
  • Computer Networks and Communications 109
  • Polymers and Plastics 58
  • Signal Processing 40
  • Artificial Intelligence 112
Replace Xiaoyu Fang with:
Xiaoyu Fang China
Hongyuan Wang China
Liyin Zhang China
Shize Huang China
Md. Nazmul Hasan Bangladesh
MyungKeun Yoon South Korea
L.A.L. de Almeida Brazil
Tianyu Liu China
Meiling Zhang China
Xinya Wu relative to Xiaoyu Fang China Xiaoyu Fang's profile →
Citations per field
00.5×3.3×
Xiaoyu Fang · 1×
Citations per year

Countries citing papers authored by Xinya Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xinya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery
Hit paper breakdown →
2020197
2 202193
3 201358
4 201951
5 201321
6 202017
7 202217
8 202014
9 20215
10 20244
11 20251
12 20241
13 20250

About Xinya Wu

Xinya Wu is a scholar working on Materials Chemistry, Computer Networks and Communications, Artificial Intelligence, Organic Chemistry and Civil and Structural Engineering, having authored 13 papers that have together received 479 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Catalytic Processes in Materials Science (3 papers), Catalysis and Oxidation Reactions (2 papers), Machine Fault Diagnosis Techniques (2 papers), Fault Detection and Control Systems (2 papers), Engineering Diagnostics and Reliability (2 papers), Advanced Thermoelectric Materials and Devices (2 papers) and Thermal Radiation and Cooling Technologies (2 papers). The work is most often cited by research in Control and Systems Engineering (215 citations), Computer Networks and Communications (109 citations), Polymers and Plastics (58 citations), Signal Processing (40 citations) and Artificial Intelligence (112 citations). Xinya Wu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Changming Cheng, Zhike Peng, Yan Zhang, Yijie Mu, Shien‐Ping Feng, Yonghong Chen, Wenming Zhang, Ren Jishun, Dong Wang and Yang Luo. Their work appears in journals such as IEEE Communications Letters, Mechanical Systems and Signal Processing, Journal of environmental chemical engineering, Materials Today Physics and Applied Surface Science.

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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