Yingying Wang

1.5k total citations · 1 hit paper
61 papers, 1.1k citations indexed

About

Yingying Wang is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yingying Wang has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Yingying Wang's work include Ferroelectric and Piezoelectric Materials (10 papers), Catalytic Processes in Materials Science (9 papers) and Acoustic Wave Resonator Technologies (7 papers). Yingying Wang is often cited by papers focused on Ferroelectric and Piezoelectric Materials (10 papers), Catalytic Processes in Materials Science (9 papers) and Acoustic Wave Resonator Technologies (7 papers). Yingying Wang collaborates with scholars based in China, Germany and United Kingdom. Yingying Wang's co-authors include Xuewen Rong, Yibin Li, Yong Song, Chengbu Liu, Yuanyuan Qi, Liu X, Ling Su, Jun Ouyang, Ning Mu and Dongju Zhang and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry C.

In The Last Decade

Yingying Wang

52 papers receiving 1.1k citations

Hit Papers

The Influence of the Activation Function in a Convolution... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Yingying Wang
Comparison fields: 5 of 153
  • Materials Chemistry 290
  • Molecular Biology 175
  • Biomedical Engineering 168
  • Computer Vision and Pattern Recognition 162
  • Electrical and Electronic Engineering 149
Replace Jian Jia with:
Jian Jia China
Wei Dai China
Meiyu Huang China
Bin Zhou China
Mingyang Sun China
Bernhard Jung Germany
Taotao Wang China
Liping Zhang China
Si Chen China
Jian Jia China View profile →
Citations per field, relative to Yingying Wang
Yingying Wang · 1×
Citations per year, relative to Yingying Wang
Yingying Wang · 1×

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-authorship network of co-authors of Yingying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Wang. A scholar is included among the top collaborators of Yingying Wang 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 Yingying Wang. Yingying Wang 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
# Work Indexed citations
1 1
2 0
3 0
4 8
5 1
6 0
7 8
8 2
9 1
10 5
11 8
12 15
13 8
14 14
15 50
16 12
17 10
18 3
19
Self-detection Watermarking Algorithm and Its Application to Vector Geo-spatial Data
2
20 39

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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