Yingying Wang

53 papers receiving 1.2k citations

Yingying Wang's Hit Papers

The Influence of the Activation Function in a Convolution Neural Network Model of Facial Expression Recognition 2020 · 238 citations
2380+2+4Years since publication50100150200

Peers

Yingying Wang
Comparison fields: 5 of 155
  • Process Chemistry and Technology 72
  • Human-Computer Interaction 62
  • Renewable Energy, Sustainability and the Environment 140
  • Computer Vision and Pattern Recognition 178
  • Experimental and Cognitive Psychology 91
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Citations per year

Countries citing papers authored by Yingying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Influence of the Activation Function in a Convolution Neural Network Model of Facial Expression Recognition
Hit paper breakdown →
2020238
2 202098
3 201488
4 201566
5 201959
6 201959
7 202044
8 201940
9 200740
10 202133
11 201928
12 201928
13 201425
14 201224
15 201724
16 201923
17 201623
18 201919
19 201917
20 202115

About Yingying Wang

Yingying Wang is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Process Chemistry and Technology, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (10 papers), Catalytic Processes in Materials Science (9 papers), Acoustic Wave Resonator Technologies (7 papers), Face and Expression Recognition (6 papers), Multiferroics and related materials (5 papers), Emotion and Mood Recognition (5 papers), Carbon dioxide utilization in catalysis (5 papers) and Advanced Chemical Physics Studies (4 papers). The work is most often cited by research in Process Chemistry and Technology (72 citations), Human-Computer Interaction (62 citations), Renewable Energy, Sustainability and the Environment (140 citations), Computer Vision and Pattern Recognition (178 citations) and Experimental and Cognitive Psychology (91 citations). Yingying Wang has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Yibin Li, Xuewen Rong, Yong Hua Song, Chengbu Liu, Yuanyuan Qi, Ling Su, Xiangguo Liu, Jun Ouyang, Ning Mu and Dongju Zhang. Their work appears in journals such as Cell Communication and Signaling, Progress in Reaction Kinetics and Mechanism, Applied Sciences, The Journal of Physical Chemistry C and Ceramics International.

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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