Weidong Cao

1.1k citations
35 papers · 694 indexed · h-index 16
Topics
Advanced Neural Network Applications (6 papers)Robotics and Sensor-Based Localization (5 papers)Manufacturing Process and Optimization (4 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Weidong Cao

34 papers receiving 664 citations

Peers

Weidong Cao
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 227
  • Aerospace Engineering 160
  • Artificial Intelligence 132
  • Mechanical Engineering 96
  • Industrial and Manufacturing Engineering 86
Replace Qiaozhi Hua with:
Qiaozhi Hua China
José Lima Portugal
Carlos Cardeira Portugal
J. C. Mohanta India
Alfonso Gómez-Espinosa Mexico
Zinat Tasneem Bangladesh
Gustavo Velasco-Hernandez Ireland
Ottar L. Osen Norway
Zhezhuang Xu China
Konstantin Mikhaylov Finland
Weidong Cao relative to Qiaozhi Hua China Qiaozhi Hua's profile →
Citations per field
00.5×4.7×
Qiaozhi Hua · 1×
Citations per year

Countries citing papers authored by Weidong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Cao. A scholar is included among the top collaborators of Weidong Cao 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 Weidong Cao. Weidong Cao 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 6
2 0
3 5
4 2
5 1
6 3
7 6
8 49
9 6
10 2
11 2
12 4
13 20
14 32
15 46
16 17
17 5
18 27
19 20
20 4

About Weidong Cao

Weidong Cao is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 35 papers that have together received 694 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (5 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Industrial and Manufacturing Engineering (86 citations) and Aerospace Engineering (160 citations). Weidong Cao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jianjun Ni, Guangyi Tang, Simon X. Yang, Yinan Chen, Yan Chen, Kang Shen, Xin Liu, Yang Gu, Junbo Tuo and Yujie Liu. Their work appears in journals such as Journal of Cleaner Production, IEEE Access and Composites Part B 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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