Yizhi Wang

758 citations
57 papers · 503 indexed · h-index 12
Topics
Neural Networks and Reservoir Computing (8 papers)Quantum Computing Algorithms and Architecture (7 papers)Quantum Information and Cryptography (7 papers)

In The Last Decade

Yizhi Wang

51 papers receiving 483 citations

Peers

Yizhi Wang
Comparison fields: 5 of 87
  • Electrical and Electronic Engineering 143
  • Artificial Intelligence 115
  • Materials Chemistry 95
  • Control and Systems Engineering 81
  • Computer Vision and Pattern Recognition 63
Replace Lu Feng with:
Lu Feng United States
Kakali Sarkar India
Bingcai Chen China
Zhi Cai China
Jiajun Hu China
Xing Zhou China
James Benson United States
Yizhi Wang relative to Lu Feng United States Lu Feng's profile →
Citations per field
00.5×1.7×
Lu Feng · 1×
Citations per year

Countries citing papers authored by Yizhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yizhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yizhi Wang. A scholar is included among the top collaborators of Yizhi Wang 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 Yizhi Wang. Yizhi Wang 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 3
2 1
3 0
4 2
5 0
6 6
7 2
8 0
9 6
10 68
11 2
12 1
13 3
14 11
15 22
16 34
17
Graphical Time Warping for Joint Alignment of Multiple Curves
2
18 50
19 5
20
Motion Restricted Condition and Singular Configuration for Mecanum Wheeled Omni-Directional Motion System
3

About Yizhi Wang

Yizhi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Filtration and Separation, having authored 57 papers that have together received 503 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (8 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Information and Cryptography (7 papers). The work is most often cited by research in Transportation (26 citations), Automotive Engineering (45 citations) and Artificial Intelligence (115 citations). Yizhi Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jianming Hu, Yi Jin, Mingqin Zhao, Yi Zhang, Miao Lai, Ying Zheng, Junjie Wu, Zhi‐Yong Wu, Chao Xu and Wanzeng Kong. Their work appears in journals such as Physical Review Letters, Nature Communications and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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