Shiping Wang

5.6k citations
193 papers · 3.7k · 2 hit papers · h-index 33

Impact in

Papers in

    • Face and Expression Recognition 50
    • Advanced Image and Video Retrieval Techniques 32
    • Video Surveillance and Tracking Methods 27
    • Image Retrieval and Classification Techniques 21
    • Advanced Graph Neural Networks 38
    • Domain Adaptation and Few-Shot Learning 23

Shiping Wang

174 papers receiving 3.6k citations

Shiping Wang's Hit Papers

Learnable graph convolutional network and feature fusion for multi-view learning 2023 · 110 citations
1100+2+4Years since publication100200300

Peers

Shiping Wang
Comparison fields: 5 of 167
  • Computational Mathematics 58
  • Computer Vision and Pattern Recognition 1.7k
  • Artificial Intelligence 1.9k
  • Urban Studies 210
  • Media Technology 225
Replace Wei Peng with:
Wei Peng United States
Benyu Zhang China
Marius Kloft Germany
Deng Cai China
Lifang He China
Quanquan Gu United States
Zhao Kang China
Jie Wen China
Quanming Yao China
Shiping Wang relative to Wei Peng United States Wei Peng's profile →
Citations per field
00.5×2.9×
Wei Peng · 1×
Citations per year

Countries citing papers authored by Shiping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shiping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shiping Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shiping Wang Line = papers co-authored together Shiping Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Multimodal Representation Learning: A Survey
Hit paper breakdown →
2019307
2 2020148
3 2014144
4 2020132
5
Learnable graph convolutional network and feature fusion for multi-view learning
Hit paper breakdown →
2023110
6 200196
7 202195
8 202192
9 201687
10 200683
11 202277
12 201765
13 202362
14 201460
15 202158
16 202258
17 201757
18 201754
19 201154
20 201948

About Shiping Wang

Shiping Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Urban Studies and Computational Theory and Mathematics, having authored 193 papers that have together received 3.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (50 papers), Advanced Graph Neural Networks (38 papers), Advanced Image and Video Retrieval Techniques (32 papers), Video Surveillance and Tracking Methods (27 papers), Domain Adaptation and Few-Shot Learning (23 papers), Image Retrieval and Classification Techniques (21 papers), Advanced Computing and Algorithms (16 papers) and Rough Sets and Fuzzy Logic (14 papers). The work is most often cited by research in Computational Mathematics (58 citations), Computer Vision and Pattern Recognition (1.7k citations), Artificial Intelligence (1.9k citations), Urban Studies (210 citations) and Media Technology (225 citations). Shiping Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wenzhong Guo, William Zhu, Zhaoliang Chen, Jianwen Wang, Qingxin Zhu, Shide Du, Yuanfei Dai, Lele Fu, Jinyu Cai and Guobao Xiao. Their work appears in journals such as Information Sciences, Knowledge-Based Systems, Neural Networks, IEEE Transactions on Multimedia and Expert Systems with Applications.

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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