Xiaolin Shi
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Complex Network Analysis Techniques 15
- Opinion Dynamics and Social Influence 6
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- Statistical Methods in Clinical Trials 4
- Co-authors
- Jure LeskovecLada A. AdamicDaniel A. McFarlandBelle L. TsengDan J. WangMartin J. StraussAlex DengAhmed H. Yousef
- Journals
- New Journal of Physics (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Social Networks (1 paper)PLoS ONE (1 paper)Text REtrieval Conference (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Xiaolin Shi
22 papers receiving 676 citations
Peers
Comparison fields: 5 of 100
- Statistical and Nonlinear Physics 256
- Computer Science Applications 55
- Information Systems 203
- Statistics, Probability and Uncertainty 50
- Information Systems and Management 44
Countries citing papers authored by Xiaolin Shi
This map shows the geographic impact of Xiaolin Shi'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 Xiaolin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Shi more than expected).
Fields of papers citing papers by Xiaolin Shi
This network shows the impact of papers produced by Xiaolin Shi. 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 Xiaolin Shi. The network helps show where Xiaolin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 2 | |
| 6 | 2019 | 30 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 49 | |
| 9 | 2016 | 45 | |
| 10 | 2013 | 79 | |
| 11 | 2012 | 122 | |
| 12 | 2011 | 54 | |
| 13 | 2009 | 34 | |
| 14 | 2009 | 24 | |
| 15 | 2009 | 61 | |
| 16 | 2008 | 17 | |
| 17 | Looking at the blogosphere topology through different lenses | 2007 | 45 |
| 18 | 2007 | 2 | |
| 19 | The Splog Detection Task and A Solution Based on Temporal and Link Properties. | 2006 | 9 |
| 20 | 2006 | 78 |
About Xiaolin Shi
Xiaolin Shi is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability, Information Systems, Statistics, Probability and Uncertainty and Management Information Systems, having authored 24 papers that have together received 728 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Opinion Dynamics and Social Influence (6 papers), Statistical Methods in Clinical Trials (4 papers), Advanced Graph Neural Networks (4 papers), scientometrics and bibliometrics research (3 papers), Recommender Systems and Techniques (3 papers), Caching and Content Delivery (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (256 citations), Computer Science Applications (55 citations), Information Systems (203 citations), Statistics, Probability and Uncertainty (50 citations) and Information Systems and Management (44 citations). Xiaolin Shi has collaborated with scholars based in United States and China. Frequent co-authors include Jure Leskovec, Lada A. Adamic, Daniel A. McFarland, Belle L. Tseng, Dan J. Wang, Martin J. Strauss, Alex Deng, Ahmed H. Yousef, Nick Craswell and Lei Zhang. Their work appears in journals such as New Journal of Physics, Physica A Statistical Mechanics and its Applications, Social Networks, PLoS ONE and Text REtrieval Conference.
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.