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 17
- 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)Huayi Wu (4 shared papers)Kai Hu (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)Journal of the American Chemical Society (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Siluo Yang
33 papers receiving 569 citations
Peers
Comparison fields: 5 of 127
- Statistics, Probability and Uncertainty 199
- General Social Sciences 32
- Health Informatics 10
- Information Systems 148
- Statistical and Nonlinear Physics 81
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2016 | 67 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 40 | |
| 5 | 2017 | 40 | |
| 6 | 2015 | 29 | |
| 7 | 2009 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 1983 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2010 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 11 | |
| 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 37 papers that have together received 595 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (17 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 (199 citations), General Social Sciences (32 citations), Health Informatics (10 citations), Information Systems (148 citations) and Statistical and Nonlinear Physics (81 citations). Siluo Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dietmar Wolfram, Junping Qiu, Huayi Wu, Kai Hu, Yuehua Zhao, Kunlun Qi, Bo Liu, Feifei Wang, Shenmeng Xu and Tingting Xiao. Their work appears in journals such as Scientometrics, Journal of Informetrics, Information Processing & Management, Library Hi Tech and Journal of the American Chemical Society.
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.