Haiyang Yu

1.8k total citations · 2 hit papers
60 papers, 976 citations indexed

About

Haiyang Yu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Haiyang Yu has authored 60 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 21 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Haiyang Yu's work include Cryptography and Data Security (18 papers), Cloud Data Security Solutions (13 papers) and Privacy-Preserving Technologies in Data (12 papers). Haiyang Yu is often cited by papers focused on Cryptography and Data Security (18 papers), Cloud Data Security Solutions (13 papers) and Privacy-Preserving Technologies in Data (12 papers). Haiyang Yu collaborates with scholars based in China, United States and Australia. Haiyang Yu's co-authors include Shurui Gui, Shuiwang Ji, Hao Yuan, Zhen Yang, Richard Sinnott, Xiaoyan Chu, Minjuan Wang, Wen Long, Huan Liu and Ningyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Haiyang Yu

56 papers receiving 929 citations

Hit Papers

Explainability in Graph Neural Networks: A Taxonomic Survey 2022 2026 2023 2024 2022 2022 100 200 300

Peers

Haiyang Yu
Comparison fields: 5 of 104
  • Artificial Intelligence 511
  • Information Systems 347
  • Computer Networks and Communications 198
  • Computer Vision and Pattern Recognition 105
  • Human-Computer Interaction 80
Replace Wei Ye with:
Wei Ye China
Zhuang Li China
Christopher Bogart United States
Weitong Chen Australia
Eunyee Koh United States
Wolfgang Mueller Germany
Fabio Aiolli Italy
Xiaorui Liu United States
Linyi Yang China
Susumu Horiguchi Japan
Wei Ye China View profile →
Citations per field, relative to Haiyang Yu
Haiyang Yu · 1×
Citations per year, relative to Haiyang Yu
Haiyang Yu · 1×

Countries citing papers authored by Haiyang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Yu. A scholar is included among the top collaborators of Haiyang Yu 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 Haiyang Yu. Haiyang Yu 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 0
2 1
3 4
4 3
5 3
6 2
7 8
8 11
9 6
10 21
11 19
12 28
13 1
14 17
15 31
16
Prediction of Comprehensive Performance of Concrete Based on BP Neural Network
6
17 14
18 1
19 98
20 7

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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