Wen Yao

219 papers receiving 4.1k citations

Wen Yao's Hit Papers

Self-adaptive loss balanced Physics-informed neural networks 2022 · 277 citations
2770+5+10Years since publication100200300

Peers

Wen Yao
Comparison fields: 5 of 168
  • Statistics, Probability and Uncertainty 742
  • Statistical and Nonlinear Physics 555
  • Computational Theory and Mathematics 675
  • Automotive Engineering 353
  • Safety, Risk, Reliability and Quality 262
Replace Weihua Gui with:
Weihua Gui China
Antonello Monti Germany
Lei Wang China
Jie Chen China
Johan Löfberg Sweden
Tongwen Chen Canada
Donghua Zhou China
Kameshwar Poolla United States
K. Khorasani Canada
Eduardo F. Camacho Spain
Wen Yao relative to Weihua Gui China Weihua Gui's profile →
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Countries citing papers authored by Wen Yao

Since Specialization
Citations

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

Fields of papers citing papers by Wen Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles
Hit paper breakdown →
2011393
2 2013292
3
Self-adaptive loss balanced Physics-informed neural networks
Hit paper breakdown →
2022277
4 2011203
5 2010119
6 201096
7 202291
8 201582
9 202178
10 201974
11 201667
12 202267
13 201465
14 202165
15 201362
16 202261
17 202260
18 202258
19 202052
20 201252

About Wen Yao

Wen Yao is a scholar working on Artificial Intelligence, Aerospace Engineering, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 241 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (31 papers), Probabilistic and Robust Engineering Design (27 papers), Model Reduction and Neural Networks (27 papers), Adversarial Robustness in Machine Learning (27 papers), Distributed Control Multi-Agent Systems (15 papers), Topology Optimization in Engineering (15 papers), Spacecraft Design and Technology (15 papers) and Reliability and Maintenance Optimization (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (742 citations), Statistical and Nonlinear Physics (555 citations), Computational Theory and Mathematics (675 citations), Automotive Engineering (353 citations) and Safety, Risk, Reliability and Quality (262 citations). Wen Yao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaoqian Chen, Michel van Tooren, Chao‐Hsien Chu, Li Zang, Wei Peng, Weien Zhou, Zhiqiang Gong, Xü Liu, Wencai Luo and Jian Guo. Their work appears in journals such as Structural and Multidisciplinary Optimization, IEEE Transactions on Evolutionary Computation, Engineering Applications of Artificial Intelligence, Reliability Engineering & System Safety and Complex & Intelligent Systems.

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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