Guangxing Wang

999 total citations
43 papers, 722 citations indexed

About

Guangxing Wang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Guangxing Wang has authored 43 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Guangxing Wang's work include Remote-Sensing Image Classification (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (4 papers). Guangxing Wang is often cited by papers focused on Remote-Sensing Image Classification (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Neural Network Applications (4 papers). Guangxing Wang collaborates with scholars based in China, United States and Australia. Guangxing Wang's co-authors include Gong Cheng, Junwei Han, Peicheng Zhou, Xingxing Xie, Peng Ren, Heng Zhou, Yue Han, Ying Guo, Shengyang Li and Yanqing Yao and has published in prestigious journals such as Biometrics, IEEE Transactions on Geoscience and Remote Sensing and Optics Express.

In The Last Decade

Guangxing Wang

38 papers receiving 701 citations

Peers

Guangxing Wang
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 240
  • Media Technology 216
  • Mechanical Engineering 103
  • Polymers and Plastics 100
  • Artificial Intelligence 95
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Citations per field, relative to Guangxing Wang
Guangxing Wang · 1×
Citations per year, relative to Guangxing Wang
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Countries citing papers authored by Guangxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxing Wang. A scholar is included among the top collaborators of Guangxing 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 Guangxing Wang. Guangxing 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
# Work Indexed citations
1 0
2 17
3 10
4 10
5 8
6 4
7 7
8 94
9 9
10 3
11 29
12 3
13
A large scale neural network model for crash prediction in urban road networks
0
14
The prediction of traffic congestion and incident on urban road networks using Naive Bayes classifier
10
15
Spatial uncertainty analysis when mapping natural resources using remotely sensed data
4
16
PAPR reduction method for SFBC MIMO-OFDM systems
1
17 3
18
TE Routing Algorithm to Minimize Maximum Link Utilization
1
19 2
20
An Algorithm for Computing RCN Reliability with 2 Terminal
0

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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