Dongzhe Wang

1.2k citations
18 papers · 907 indexed · 1 hit paper · h-index 12
Topics
Topic Modeling (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (5 papers)
Partner nations
SingaporeChinaJapan

In The Last Decade

Dongzhe Wang

17 papers receiving 886 citations

Hit Papers

Machine Health Monitoring Using Local Feature-Based Gated...20172026202020232017200400600

Peers

Dongzhe Wang
Comparison fields: 5 of 108
  • Control and Systems Engineering 397
  • Mechanical Engineering 301
  • Artificial Intelligence 186
  • Electrical and Electronic Engineering 137
  • Mechanics of Materials 98
Replace Zhe Yang with:
Zhe Yang China
Jiacheng Xie China
Xueyi Li China
Yuanhong Chang China
Jialun Liu China
Kosta Ristovski United States
Xiaohui Yang China
Yuri A.W. Shardt Germany
Xianguang Kong China
Dongzhe Wang relative to Zhe Yang China Zhe Yang's profile →
Citations per field
00.5×6.2×
Zhe Yang · 1×
Citations per year

Countries citing papers authored by Dongzhe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dongzhe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongzhe Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongzhe Wang. A scholar is included among the top collaborators of Dongzhe 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 Dongzhe Wang. Dongzhe Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 21
2 1
3 1
4 29
5 21
6 28
7 15
8 2
9 27
10 13
11 4
12 17
13 20
14
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networksbreakdown →
675
15 13
16
Adaptive multimodal fusion with web resources for scene classification
3
17
Improving scene classification by fusion of training data and web resources
4
18 13

About Dongzhe Wang

Dongzhe Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Catalysis, having authored 18 papers that have together received 907 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Control and Systems Engineering (397 citations), Medical Laboratory Technology (19 citations) and Industrial and Manufacturing Engineering (92 citations). Dongzhe Wang has collaborated with scholars based in Singapore, China and Japan. Frequent co-authors include Kezhi Mao, Fei Shen, Rui Zhao, Jinjiang Wang, Ruqiang Yan, Gang Xue, Gee-Wah Ng, Miaomiao Li, Cheng‐Chew Lim and Jinsheng Liang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Catalysis Today and Neurocomputing.

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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