Ying Sai

540 total citations
23 papers, 379 citations indexed

About

Ying Sai is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Ying Sai has authored 23 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 9 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Ying Sai's work include Rough Sets and Fuzzy Logic (9 papers), Data Mining Algorithms and Applications (6 papers) and Stock Market Forecasting Methods (4 papers). Ying Sai is often cited by papers focused on Rough Sets and Fuzzy Logic (9 papers), Data Mining Algorithms and Applications (6 papers) and Stock Market Forecasting Methods (4 papers). Ying Sai collaborates with scholars based in China, Canada and Japan. Ying Sai's co-authors include Guilong Liu, Yiyu Yao, Zheng Yuan, Ning Zhong, Jincai Huang, Chunping Wan, Wei Ma, Dongdong Qin, Gang Wu and Dun Chen and has published in prestigious journals such as Energy, Frontiers in Immunology and Information Sciences.

In The Last Decade

Ying Sai

22 papers receiving 366 citations

Peers

Ying Sai
Comparison fields: 5 of 69
  • Computational Theory and Mathematics 244
  • Artificial Intelligence 131
  • Information Systems 115
  • Management Science and Operations Research 89
  • Computer Vision and Pattern Recognition 36
Replace M. E. Abd El-Monsef with:
M. E. Abd El-Monsef Egypt
Yongsong Qin China
Aleksander Øhrn Norway
Tuan-Fang Fan Taiwan
R. Devi India
Khai T. Nguyen United States
A. S. Ranadive India
Zhi-Lian Guo China
Michael Soltys United States
Haiyan Zhao China
M. E. Abd El-Monsef Egypt View profile →
Citations per field, relative to Ying Sai
Ying Sai · 1×
Citations per year, relative to Ying Sai
Ying Sai · 1×

Countries citing papers authored by Ying Sai

Since Specialization
Citations

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

Fields of papers citing papers by Ying Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Sai. A scholar is included among the top collaborators of Ying Sai 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 Ying Sai. Ying Sai 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 2
2 2
3 16
4 29
5
A Laboratory Study Designed for Reducing the Gap between Information Security Knowledge and Implementation
1
6 44
7 3
8 1
9 12
10 137
11 3
12 1
13 6
14 2
15 8
16 43
17 11
18 7
19 5
20 43

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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