Shengcai Liao

15.4k citations
96 papers · 5.3k indexed · 2 hit papers · h-index 34

Shengcai Liao

89 papers receiving 5.2k citations

Hit Papers

Deep Metric Learning for Person Re-identification200720262013201920142007200400600

Peers

Shengcai Liao
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 4.9k
  • Biomedical Engineering 907
  • Signal Processing 884
  • Artificial Intelligence 649
  • Media Technology 530
Replace Feiyue Huang with:
Feiyue Huang China
Ruimin Hu China
Zhiding Yu United States
Ram Nevatia United States
Weiyao Lin China
Yi Dong China
François Fleuret Switzerland
Yap‐Peng Tan Singapore
Wei Jia China
Shao‐Yi Chien Taiwan
Shengcai Liao relative to Feiyue Huang China Feiyue Huang's profile →
Citations per field
00.5×10×15×20×24.8×
Feiyue Huang · 1×
Citations per year

Countries citing papers authored by Shengcai Liao

Since Specialization
Citations

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

Fields of papers citing papers by Shengcai Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengcai Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Shengcai Liao. A scholar is included among the top collaborators of Shengcai Liao 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 Shengcai Liao. Shengcai Liao 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 0
2 1
3 0
4 1
5 17
6 33
7 90
8
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
9
9 105
10 122
11
Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions
2
12
Deep Person Re-Identification with Improved Embedding.
5
13
Joint Dimension Reduction and Metric Learning for Person Re-identification.
6
14 21
15 166
16 213
17 127
18 26
19
Illumination Invariant Face Recognition Using Near-Infrared Imagesbreakdown →
415
20
Face recognition using ordinal features
2

About Shengcai Liao

Shengcai Liao is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Signal Processing, having authored 96 papers that have together received 5.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (52 papers), Face recognition and analysis (30 papers) and Face and Expression Recognition (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.9k citations), Signal Processing (884 citations) and Media Technology (530 citations). Shengcai Liao has collaborated with scholars based in China, United Arab Emirates and United States. Frequent co-authors include Stan Z. Li, Zhen Lei, Yi Dong, Anil K. Jain, Ling Shao, Rufeng Chu, Lun Zhang, Jianqing Zhu, Zhen Lei and Matti Pietikäinen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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