Weizhong Yan

3.2k citations
62 papers · 2.0k indexed · 1 hit paper · h-index 16
Topics
Fault Detection and Control Systems (24 papers)Anomaly Detection Techniques and Applications (19 papers)Neural Networks and Applications (7 papers)

In The Last Decade

Weizhong Yan

60 papers receiving 2.0k citations

Hit Papers

Time series classification from scratch with deep neural ...201720262020202320174008001.2k

Peers

Weizhong Yan
Comparison fields: 5 of 138
  • Artificial Intelligence 866
  • Signal Processing 696
  • Control and Systems Engineering 450
  • Biomedical Engineering 210
  • Computer Vision and Pattern Recognition 197
Replace Stefano Squartini with:
Stefano Squartini Italy
Fazle Karim United States
Somshubra Majumdar United States
Puneet Agarwal United States
Fakhreddine Karray Canada
Pierre-Alain Müller France
Lhassane Idoumghar France
Yuxun Zhou United States
Hassan Ismail Fawaz France
Bahador Khaleghi Canada
Weizhong Yan relative to Stefano Squartini Italy Stefano Squartini's profile →
Citations per field
00.5×1.5×
Stefano Squartini · 1×
Citations per year

Countries citing papers authored by Weizhong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Weizhong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhong Yan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 1
3 2
4 3
5 9
6 87
7 1
8 31
9 4
10 5
11
A MULTIPLE CLASSIFIER SYSTEM FOR AIRCRAFT ENGINE FAULT DIAGNOSIS
5
12 36
13 21
14 16
15 5
16
Operational Data Based Anomaly Detection for Locomotive Diagnostics.
9
17 0
18
Diagnostic system configuration optimization and its application to aircraft engine fault diagnosis
4
19 13
20 18

About Weizhong Yan

Weizhong Yan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (24 papers), Anomaly Detection Techniques and Applications (19 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Signal Processing (696 citations), Artificial Intelligence (866 citations) and Control and Systems Engineering (450 citations). Weizhong Yan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Tim Oates, Zhiguang Wang, Kai Goebel, Lijie Yu, Jingkui Zhang, Lalit K. Mestha, Masoud Abbaszadeh, Hai Qiu, Feng Xue and Neil Eklund. Their work appears in journals such as Sensors, Review of Scientific Instruments and IEEE Internet of Things Journal.

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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