Shouhong Wan

691 total citations
58 papers, 360 citations indexed

About

Shouhong Wan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Shouhong Wan has authored 58 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 24 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Shouhong Wan's work include Advanced Image and Video Retrieval Techniques (17 papers), Advanced Data Storage Technologies (13 papers) and Cloud Computing and Resource Management (9 papers). Shouhong Wan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Advanced Data Storage Technologies (13 papers) and Cloud Computing and Resource Management (9 papers). Shouhong Wan collaborates with scholars based in China, Switzerland and United Kingdom. Shouhong Wan's co-authors include Peiquan Jin, Lihua Yue, Yu Xia, Wenchao Huang, Panlong Yang, Yan Xiong, Xuangou Wu, Xinlu Li, Le Zou and Xiaofeng Wang and has published in prestigious journals such as IEEE Transactions on Wireless Communications, Applied Soft Computing and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Shouhong Wan

49 papers receiving 346 citations

Peers

Shouhong Wan
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 152
  • Computer Networks and Communications 115
  • Media Technology 93
  • Aerospace Engineering 70
  • Artificial Intelligence 60
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Weidong Yan China View profile →
Citations per field, relative to Shouhong Wan
Shouhong Wan · 1×
Citations per year, relative to Shouhong Wan
Shouhong Wan · 1×

Countries citing papers authored by Shouhong Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shouhong Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouhong Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shouhong Wan. A scholar is included among the top collaborators of Shouhong Wan 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 Shouhong Wan. Shouhong Wan 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 0
3 5
4 2
5 1
6 2
7 22
8 10
9 1
10 3
11 1
12 4
13 1
14 4
15 8
16
Performance evaluation in automatic target recognition using BP neural network
3
17 3
18 13
19 2
20 11

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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