Weizhong Yan

3.2k total citations · 1 hit paper
62 papers, 2.0k citations indexed

About

Weizhong Yan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Weizhong Yan has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 30 papers in Control and Systems Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Weizhong Yan's work include Fault Detection and Control Systems (24 papers), Anomaly Detection Techniques and Applications (19 papers) and Neural Networks and Applications (7 papers). Weizhong Yan is often cited by papers focused on Fault Detection and Control Systems (24 papers), Anomaly Detection Techniques and Applications (19 papers) and Neural Networks and Applications (7 papers). Weizhong Yan collaborates with scholars based in United States, China and United Kingdom. Weizhong Yan's co-authors include Tim Oates, Zhiguang Wang, Kai Goebel, Lijie Yu, Jingkui Zhang, Masoud Abbaszadeh, Lalit K. Mestha, Hai Qiu, Feng Xue and Neil Eklund and has published in prestigious journals such as Sensors, Review of Scientific Instruments and IEEE Internet of Things Journal.

In The Last Decade

Weizhong Yan

60 papers receiving 2.0k citations

Hit Papers

Time series classification from scratch with deep neural ... 2017 2026 2020 2023 2017 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Time series classification from scratch with deep neural networks: A strong baseline
    2017 1.2k citations Zhiguang Wang, Weizhong Yan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weizhong Yan United States 16 866 696 450 210 197 62 2.0k
Fazle Karim United States 10 862 1.0× 727 1.0× 197 0.4× 196 0.9× 249 1.3× 18 2.0k
Somshubra Majumdar United States 12 952 1.1× 776 1.1× 197 0.4× 196 0.9× 333 1.7× 23 2.2k
Pierre-Alain Müller France 14 1.3k 1.5× 1.1k 1.6× 193 0.4× 241 1.1× 318 1.6× 26 2.7k
Hassan Ismail Fawaz France 8 1.2k 1.3× 1.1k 1.6× 189 0.4× 272 1.3× 316 1.6× 10 2.5k
Lhassane Idoumghar France 18 1.4k 1.6× 1.1k 1.6× 325 0.7× 288 1.4× 427 2.2× 118 3.2k
Meng Sun China 16 519 0.6× 384 0.6× 250 0.6× 58 0.3× 302 1.5× 127 1.6k
M. Markou United Kingdom 9 1.2k 1.4× 301 0.4× 372 0.8× 189 0.9× 259 1.3× 16 1.7k
Guilherme A. Barreto Brazil 17 630 0.7× 170 0.2× 350 0.8× 130 0.6× 219 1.1× 106 1.4k
Fakhreddine Karray Canada 12 733 0.8× 140 0.2× 649 1.4× 221 1.1× 407 2.1× 44 2.4k
Mansour Sheikhan Iran 23 719 0.8× 459 0.7× 237 0.5× 48 0.2× 252 1.3× 88 1.8k

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
1.
2.
Yan, Weizhong, et al.. (2019). Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines. 11. 1–7. 2 indexed citations
3.
Abbaszadeh, Masoud, Lalit K. Mestha, & Weizhong Yan. (2018). Forecasting and Early Warning for Adversarial Targeting in Industrial Control Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
4.
Wang, Zhiguang, Weizhong Yan, & Tim Oates. (2017). Time series classification from scratch with deep neural networks: A strong baseline. 1578–1585. 1235 indexed citations breakdown →
5.
Xu, Yunwen, et al.. (2017). Concept drift learning with alternating learners. 2104–2111. 9 indexed citations
6.
Yan, Weizhong & Lijie Yu. (2015). On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach. Annual Conference of the PHM Society. 7(1). 87 indexed citations
7.
Yan, Weizhong, et al.. (2013). On Optimizing Anomaly Detection Rules for Gas Turbine Health Monitoring. Annual Conference of the PHM Society. 5(1). 1 indexed citations
8.
Yan, Weizhong, et al.. (2009). On improving performance of aircraft engine gas path fault diagnosis. Transactions of the Institute of Measurement and Control. 31(3-4). 275–291. 5 indexed citations
9.
10.
Yan, Weizhong, C. James Li, & Kai Goebel. (2008). A MULTIPLE CLASSIFIER SYSTEM FOR AIRCRAFT ENGINE FAULT DIAGNOSIS. 5 indexed citations
11.
Xue, Feng, et al.. (2008). An Instance-Based Method for Remaining Useful Life Estimation for Aircraft Engines. Journal of Failure Analysis and Prevention. 8(2). 199–206. 36 indexed citations
12.
Veeramachaneni, Kalyan, Weizhong Yan, Kai Goebel, & Lisa Ann Osadciw. (2007). Improving Classifier Fusion Using Particle Swarm Optimization. 128–135. 16 indexed citations
13.
Subbu, Raj, Piero P. Bonissone, Srinivas Bollapragada, et al.. (2007). A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric. 8 indexed citations
14.
Goebel, Kai, Hai Qiu, Neil Eklund, & Weizhong Yan. (2007). Modeling Propagation of Gas Path Damage. 1–8. 21 indexed citations
15.
Qiu, Hai, Neil Eklund, Weizhong Yan, et al.. (2007). Estimating Deterioration Level of Aircraft Engines. 661–667. 5 indexed citations
16.
Xue, Feng, et al.. (2006). Operational Data Based Anomaly Detection for Locomotive Diagnostics.. 236–241. 9 indexed citations
17.
18.
Goebel, Kai, et al.. (2003). Diagnostic system configuration optimization and its application to aircraft engine fault diagnosis. 4 indexed citations
19.
Yan, Weizhong, et al.. (2002). <title>Classifier performance measures in multifault diagnosis for aircraft engines</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4733. 88–97. 13 indexed citations
20.
Goebel, Kai & Weizhong Yan. (2000). Feature Selection for Tool Wear Diagnosis Using Soft Computing Techniques. 157–163. 18 indexed citations

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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