Changdong Wang

17 papers receiving 311 citations

Hit Papers

Neural-transformer: A brain-inspired lightweight mechanic...202420262025202420242025204060

Peers

Changdong Wang
Comparison fields: 5 of 37
  • Control and Systems Engineering 181
  • Electrical and Electronic Engineering 77
  • Artificial Intelligence 71
  • Mechanical Engineering 67
  • Mechanics of Materials 41
Replace Ghaleb Hoblos with:
Ghaleb Hoblos France
Arinan Dourado United States
Yunpeng Cao China
Hongchun Sun China
Laurent Rambault France
Md Rifat Shahriar Australia
Tefang Chen China
Haizhou Huang China
Mohamed Saad Egypt
Changdong Wang relative to Ghaleb Hoblos France Ghaleb Hoblos's profile →
Citations per field
00.5×9.5×
Ghaleb Hoblos · 1×
Citations per year

Countries citing papers authored by Changdong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changdong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changdong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changdong Wang. A scholar is included among the top collaborators of Changdong 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 Changdong Wang. Changdong 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 9
2 1
3
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosisbreakdown →
21
4 0
5 1
6 0
7 0
8 1
9 1
10 40
11
Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noisebreakdown →
61
12
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domainbreakdown →
47
13 40
14 31
15 3
16 38
17 11
18 2
19 1
20 4

About Changdong Wang

Changdong Wang is a scholar working on Control and Systems Engineering, Media Technology and Artificial Intelligence, having authored 21 papers that have together received 312 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Machine Fault Diagnosis Techniques (6 papers) and Pulsed Power Technology Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (181 citations), Medical Laboratory Technology (4 citations) and Artificial Intelligence (71 citations). Changdong Wang has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Huamin Jie, Zhenyu Zhao, Jingli Yang, Kye Yak See, Tianyu Gao, Wensong Wang, Fei Fan, Yu Zeng, Shiqi Jiang and Zhenyu Zhao. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Intelligent Transportation 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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