Yali Wang

613 total citations
26 papers, 441 citations indexed

About

Yali Wang is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Yali Wang has authored 26 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Yali Wang's work include Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Air Quality and Health Impacts (2 papers). Yali Wang is often cited by papers focused on Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Air Quality and Health Impacts (2 papers). Yali Wang collaborates with scholars based in China, United States and Netherlands. Yali Wang's co-authors include Qiankun Gao, Xiaolu Li, Yishi Shi, Wenfeng Zheng, Sanguo Zhang, Tuo Li, Lirong Yin, Li Peng, Geng Ji and Hu Xiong and has published in prestigious journals such as Optics Letters, IEEE Access and RSC Advances.

In The Last Decade

Yali Wang

24 papers receiving 412 citations

Peers

Yali Wang
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 172
  • Artificial Intelligence 166
  • Atomic and Molecular Physics, and Optics 76
  • Environmental Engineering 48
  • Health, Toxicology and Mutagenesis 43
Replace Jian Shi with:
Jian Shi China
Sébastien Adam France
Lin Qiu China
Liang Huang United States
Inge Koch Australia
Samuel D. Gasster United States
Son T. United Kingdom
T. Head United States
Malachi Schram United States
Jian Shi China View profile →
Citations per field, relative to Yali Wang
Yali Wang · 1×
Citations per year, relative to Yali Wang
Yali Wang · 1×

Countries citing papers authored by Yali Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yali Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Wang. A scholar is included among the top collaborators of Yali 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 Yali Wang. Yali 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 1
4 14
5 1
6 6
7 11
8 1
9 1
10 40
11 1
12 40
13 17
14 1
15 24
16 40
17 1
18 1
19 184
20
Scientific research projects evaluation based on weighted optimum order numbers
0

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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