Yaonan Wang

821 papers receiving 14.7k citations

Yaonan Wang's Hit Papers

Pixel-Level Noise Mining for Weakly Supervised Salient Object Detection 2025 · 29 citations
290+5+10Years since publication250500750

Peers

Yaonan Wang
Comparison fields: 5 of 193
  • Computer Vision and Pattern Recognition 4.1k
  • Control and Systems Engineering 4.6k
  • Media Technology 1.5k
  • Industrial and Manufacturing Engineering 1.1k
  • Computer Networks and Communications 1.7k
Replace Shuai Li with:
Shuai Li China
Xin Xu China
S. Shankar Sastry United States
Yuan Yuan China
Seyed Mohammad Mirjalili Iran
Nanning Zheng China
Jie Chen China
Sam Kwong Hong Kong
Tao Zhang China
Tim Blackwell United Kingdom
Yaonan Wang relative to Shuai Li China Shuai Li's profile →
Citations per field
00.5×3.4×
Shuai Li · 1×
Citations per year

Countries citing papers authored by Yaonan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaonan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 914 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microfluidic Mixing: A Review
Hit paper breakdown →
2011871
2 2001341
3 2002247
4 2009245
5 2002230
6 2018201
7 1993195
8 2016188
9 2012153
10 2003149
11 2010149
12 2018145
13 2022144
14 2015130
15 2016130
16 2012121
17 2018121
18 2017119
19 2020109
20 2020108

About Yaonan Wang

Yaonan Wang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, having authored 914 papers that have together received 15.1k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (106 papers), Robotic Path Planning Algorithms (88 papers), Distributed Control Multi-Agent Systems (85 papers), Industrial Vision Systems and Defect Detection (69 papers), Robotics and Sensor-Based Localization (66 papers), Advanced Vision and Imaging (56 papers), Advanced Neural Network Applications (53 papers) and Image Processing Techniques and Applications (50 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Control and Systems Engineering (4.6k citations), Media Technology (1.5k citations), Industrial and Manufacturing Engineering (1.1k citations) and Computer Networks and Communications (1.7k citations). Yaonan Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaofang Yuan, Zhiqiang Miao, Shutao Li, James T. Kwok, Lung‐Ming Fu, Hui Zhang, Chia‐Yen Lee, Chin‐Lung Chang, Yimin Yang and Hang Zhong. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Automation Science and Engineering.

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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