Yingjie Wang

678 citations
40 papers · 475 · h-index 10

Impact in

Papers in

    • Machine Learning and Data Classification 4
    • Machine Learning and ELM 3
    • Neural Networks and Applications 3
    • Machine Learning and Algorithms 3
    • Face and Expression Recognition 9
    • Image Retrieval and Classification Techniques 3
    • Face recognition and analysis 3

Yingjie Wang

34 papers receiving 445 citations

Peers

Yingjie Wang
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 249
  • Signal Processing 90
  • Computational Mechanics 81
  • Fluid Flow and Transfer Processes 21
  • Biomedical Engineering 89
Replace Taoufik Saidani with:
Taoufik Saidani Saudi Arabia
Jing Qin China
Wendong Wang China
Ömer Karal Türkiye
Yoichi Sato Japan
A. Ertüzün Türkiye
Xiaohui Chen China
Xingguo Li United States
Xiaolong Zhu China
Ali Akbari United Kingdom
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Citations per field
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Taoufik Saidani · 1×
Citations per year

Countries citing papers authored by Yingjie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingjie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yingjie 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 Yingjie Wang Line = papers co-authored together Yingjie Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002176
2 200552
3 201946
4 201238
5 202025
6 202120
7 200518
8 201613
9 200512
10 200211
11
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
20206
12 20146
13 20206
14 20225
15 20174
16 20243
17 20213
18 20193
19 20173
20 20163

About Yingjie Wang

Yingjie Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Computer Networks and Communications, having authored 40 papers that have together received 475 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Machine Learning and Data Classification (4 papers), Machine Learning and ELM (3 papers), Neural Networks and Applications (3 papers), Image Retrieval and Classification Techniques (3 papers), Machine Learning and Algorithms (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Signal Processing (90 citations), Computational Mechanics (81 citations), Fluid Flow and Transfer Processes (21 citations) and Biomedical Engineering (89 citations). Yingjie Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chin-Seng Chua, Yeong-Khing Ho, Hong Chen, Xuan Mei, Ruizheng Liang, Min Wei, Tingting Hu, Xisheng Weng, Guoqiang Xu and Hongwu Deng. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Image and Vision Computing, Applied Intelligence, Pattern Recognition Letters and Scientific Reports.

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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