Xin Shuai

725 citations
15 papers · 484 indexed · h-index 10
Topics
Complex Network Analysis Techniques (7 papers)Misinformation and Its Impacts (5 papers)Opinion Dynamics and Social Influence (5 papers)
Partner nations
United StatesChina

In The Last Decade

Xin Shuai

13 papers receiving 455 citations

Peers

Xin Shuai
Comparison fields: 5 of 75
  • Sociology and Political Science 149
  • Information Systems 149
  • Statistics, Probability and Uncertainty 131
  • Artificial Intelligence 124
  • Statistical and Nonlinear Physics 114
Replace Simon Wakeling with:
Simon Wakeling Australia
Steven Ovadia United States
Stacy Konkiel United States
Antonia Ferrer-Sapena Spain
Jodi Schneider United States
Mohammad Karim Saberi Iran
Danny Kingsley Australia
Nabeil Maflahi United Kingdom
Qikai Cheng China
Florian Lemmerich Germany
Xin Shuai relative to Simon Wakeling Australia Simon Wakeling's profile →
Citations per field
00.5×10×15×20×24.5×
Simon Wakeling · 1×
Citations per year

Countries citing papers authored by Xin Shuai

Since Specialization
Citations

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

Fields of papers citing papers by Xin Shuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Shuai

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Shuai. A scholar is included among the top collaborators of Xin Shuai 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 Xin Shuai. Xin Shuai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3
Quick Check: A Legal Research Recommendation System.
1
4 31
5 28
6 1
7 9
8 19
9 218
10 20
11 21
12 2
13 9
14 23
15 101

About Xin Shuai

Xin Shuai is a scholar working on Health Informatics, Statistical and Nonlinear Physics and Computer Science Applications, having authored 15 papers that have together received 484 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Misinformation and Its Impacts (5 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (131 citations), Health Informatics (20 citations) and Communication (98 citations). Xin Shuai has collaborated with scholars based in United States and China. Frequent co-authors include Johan Bollen, Alberto Pepe, Huina Mao, Apu Kapadia, Xiaozhong Liu, Ying Ding, Daifeng Li, Jie Tang, Shanshan Chen and Zhuoren Jiang. Their work appears in journals such as PLoS ONE, Journal of Informetrics and Journal of the Association for Information Science and Technology.

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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