Anyu Wang

581 citations
24 papers · 279 · h-index 10

Impact in

Papers in

Anyu Wang

23 papers receiving 278 citations

Peers

Anyu Wang
Comparison fields: 5 of 58
  • Computer Networks and Communications 159
  • Computational Theory and Mathematics 65
  • Artificial Intelligence 76
  • Health, Toxicology and Mutagenesis 20
  • Pollution 16
Replace Shubham Chandak with:
Shubham Chandak United States
Liming Ma China
Huifang Yu China
Byung-Soon Choi South Korea
Shuqing Zhao China
Md. Zafar Ali Khan India
Yuhan Chen China
Yufei Cai China
Yuanchao Xu China
Fedor Tsarev Russia
Anyu Wang relative to Shubham Chandak United States Shubham Chandak's profile →
Citations per field
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Shubham Chandak · 1×
Citations per year

Countries citing papers authored by Anyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Anyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201543
3 201337
4 202335
5 202217
6 201712
7 201611
8 202210
9 20259
10 20249
11 20247
12 20236
13 20245
14 20234
15 20214
16 20233
17 20233
18 20243
19 20242
20 20231

About Anyu Wang

Anyu Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 279 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Advanced Data Storage Technologies (6 papers), Caching and Content Delivery (4 papers), Coding theory and cryptography (3 papers), Cellular Automata and Applications (2 papers), Transportation Planning and Optimization (2 papers), Biosensors and Analytical Detection (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Computer Networks and Communications (159 citations), Computational Theory and Mathematics (65 citations), Artificial Intelligence (76 citations), Health, Toxicology and Mutagenesis (20 citations) and Pollution (16 citations). Anyu Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zhifang Zhang, Mulan Liu, Dongdai Lin, Xiao Feng, Xi Yu, Ying Xiao, Tian Zhong, Yang Yu, Peipei Song and Xianxu Li. Their work appears in journals such as The Science of The Total Environment, IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Hazardous Materials, Trends in Food Science & Technology and International Journal of Biological Macromolecules.

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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