Yandong Wen

9.2k citations
32 papers · 2.6k indexed · 1 hit paper · h-index 12
Topics
Face recognition and analysis (15 papers)Face and Expression Recognition (13 papers)Sparse and Compressive Sensing Techniques (5 papers)

In The Last Decade

Yandong Wen

30 papers receiving 2.5k citations

Hit Papers

SphereFace: Deep Hypersphere Embedding for Face Recognition2017202620202023201750010001.5k

Peers

Yandong Wen
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 2.1k
  • Signal Processing 949
  • Artificial Intelligence 720
  • Computational Mechanics 114
  • Control and Systems Engineering 105
Replace Changxing Ding with:
Changxing Ding China
Jian Zhao China
Jonathan Brandt United States
Jiankang Deng United Kingdom
Vitomir Štruc Slovenia
Dihong Gong China
Hailin Shi China
Qijun Zhao China
Carlos D. Castillo United States
Xi Zhou China
Yandong Wen relative to Changxing Ding China Changxing Ding's profile →
Citations per field
00.5×1.5×1.8×
Changxing Ding · 1×
Citations per year

Countries citing papers authored by Yandong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yandong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yandong Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yandong Wen. A scholar is included among the top collaborators of Yandong Wen 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 Yandong Wen. Yandong Wen 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
#WorkIndexed citations
1 1
2 3
3 6
4 2
5 3
6 23
7
Face Reconstruction from Voice using Generative Adversarial Networks
24
8 2
9 2
10 2
11 63
12 1
13 3
14 6
15 242
16 108
17 9
18 31
19 30
20 0

About Yandong Wen

Yandong Wen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Face recognition and analysis (15 papers), Face and Expression Recognition (13 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (949 citations) and Artificial Intelligence (720 citations). Yandong Wen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weiyang Liu, Bhiksha Raj, Zhiding Yu, Le Song, Ming Li, Yu Qiao, Zhifeng Li, Zhiyuan Fang, Xiao Zhang and Alexander Richard. Their work appears in journals such as IEEE Access, Pattern Recognition and International Journal of Computer Vision.

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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