Siluo Yang
Impact in
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- scientometrics and bibliometrics research
- General Social Sciences top 2%
- Computational and Text Analysis Methods
Papers in
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- scientometrics and bibliometrics research 18
- Meta-analysis and systematic reviews 4
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- Web visibility and informetrics 9
- Co-authors
- Dietmar Wolfram (4 shared papers)Junping Qiu (6 shared papers)Kai Hu (4 shared papers)Huayi Wu (4 shared papers)Yuehua Zhao (1 shared paper)Kunlun Qi (3 shared papers)Bo Liu (1 shared paper)Feifei Wang (1 shared paper)
- Journals
- Scientometrics (10 papers)Journal of Informetrics (5 papers)Information Processing & Management (4 papers)Library Hi Tech (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Siluo Yang
34 papers receiving 592 citations
Peers
Comparison fields: 5 of 123
- Statistics, Probability and Uncertainty 202
- General Social Sciences 32
- Statistical and Nonlinear Physics 82
- Information Systems 148
- Information Systems and Management 44
Countries citing papers authored by Siluo Yang
This map shows the geographic impact of Siluo Yang'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 Siluo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siluo Yang more than expected).
Fields of papers citing papers by Siluo Yang
This network shows the impact of papers produced by Siluo Yang. 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 Siluo Yang. The network helps show where Siluo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Siluo Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 77 | |
| 2 | 2016 | 68 | |
| 3 | 2019 | 51 | |
| 4 | 2018 | 41 | |
| 5 | 2017 | 41 | |
| 6 | 2015 | 29 | |
| 7 | 2009 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 1983 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2010 | 17 | |
| 14 | 2015 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 11 |
About Siluo Yang
Siluo Yang is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Statistical and Nonlinear Physics, Information Systems and Management and Artificial Intelligence, having authored 38 papers that have together received 613 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (18 papers), Complex Network Analysis Techniques (11 papers), Web visibility and informetrics (9 papers), Academic Publishing and Open Access (5 papers), Meta-analysis and systematic reviews (4 papers), Academic integrity and plagiarism (3 papers), Computational and Text Analysis Methods (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (202 citations), General Social Sciences (32 citations), Statistical and Nonlinear Physics (82 citations), Information Systems (148 citations) and Information Systems and Management (44 citations). Siluo Yang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Dietmar Wolfram, Junping Qiu, Kai Hu, Huayi Wu, Yuehua Zhao, Kunlun Qi, Bo Liu, Feifei Wang, Houqiang Yu and Bradley M. Hemminger. Their work appears in journals such as Scientometrics, Journal of Informetrics, Information Processing & Management, Library Hi Tech and PLoS ONE.
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.