Guoying Zhao

29.4k citations
355 papers · 18.2k indexed · 12 hit papers · h-index 69

Guoying Zhao

333 papers receiving 17.7k citations

Hit Papers

PhysFormer: Faci...142200720262013201950010001.5k

Peers

Guoying Zhao
Comparison fields: 5 of 194
  • Computer Vision and Pattern Recognition 11.5k
  • Experimental and Cognitive Psychology 5.4k
  • Human-Computer Interaction 1.7k
  • Signal Processing 3.0k
  • Urban Studies 787
Replace Bin Hu with:
Bin Hu China
Yong‐Jin Liu China
Yingli Tian United States
Aleix M. Martı́nez United States
Ioannis Pitas Greece
Wen Gao China
Shuihua Wang‎ China
Xun Chen China
Guodong Guo China
Hui Yu China
Guoying Zhao relative to Bin Hu China Bin Hu's profile →
Citations per field
00.5×6.5×
Bin Hu · 1×
Citations per year

Countries citing papers authored by Guoying Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Guoying Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 20250
4 20251
5 20241
6 20242
7 20242
8 20244
9 20243
10 20235
11
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformerbreakdown →
2022142
12 202266
13 202221
14 202152
15 20206
16
Texture classification in extreme scale variations using GANet
201922
17 20197
18
Towards reading hidden emotions:a comparative study of spontaneous micro-expression spotting and recognition methodsbreakdown →
2018275
19 201812
20
Remote Heart Rate Measurement from Face Videos under Realistic Situationsbreakdown →
2014376

About Guoying Zhao

Guoying Zhao is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 355 papers that have together received 18.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (77 papers), Face and Expression Recognition (65 papers), Face recognition and analysis (59 papers), Human Pose and Action Recognition (48 papers), Advanced Image and Video Retrieval Techniques (35 papers), Image Retrieval and Classification Techniques (26 papers), Hand Gesture Recognition Systems (24 papers) and Video Surveillance and Tracking Methods (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (11.5k citations), Experimental and Cognitive Psychology (5.4k citations) and Human-Computer Interaction (1.7k citations). Guoying Zhao has collaborated with scholars based in Finland, China and United Kingdom. Frequent co-authors include Matti Pietikäinen, Xiaobai Li, Matti Pietikäinen, Xiaohua Huang, Xiaopeng Hong, Zitong Yu, Sujing Wang, Stan Z. Li, Wei Peng and Tomas Pfister. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

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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