Guancan Yang
Impact in
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- Intellectual Property and Patents
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- scientometrics and bibliometrics research
Papers in
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- Biomedical Text Mining and Ontologies 6
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- Intellectual Property and Patents 5
- Co-authors
- Shuo Xu (10 shared papers)Lijun Zhu (2 shared papers)Liang Chen (1 shared paper)Jing Zhang (1 shared paper)Kun Lü (3 shared papers)Xiaoping Lei (1 shared paper)Xin An (3 shared papers)Feifei Wang (1 shared paper)
- Journals
- Journal of Informetrics (6 papers)Scientometrics (3 papers)Technological Forecasting and Social Change (3 papers)Journal of Information Science (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Guancan Yang
14 papers receiving 259 citations
Peers
Comparison fields: 5 of 61
- Management of Technology and Innovation 95
- Statistics, Probability and Uncertainty 51
- General Social Sciences 13
- Artificial Intelligence 73
- Information Systems and Management 15
Countries citing papers authored by Guancan Yang
This map shows the geographic impact of Guancan 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 Guancan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guancan Yang more than expected).
Fields of papers citing papers by Guancan Yang
This network shows the impact of papers produced by Guancan 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 Guancan Yang. The network helps show where Guancan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guancan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2019 | 47 | |
| 3 | 2020 | 46 | |
| 4 | 2015 | 44 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 0 |
About Guancan Yang
Guancan Yang is a scholar working on Molecular Biology, Management of Technology and Innovation, Artificial Intelligence, Economics and Econometrics and Strategy and Management, having authored 16 papers that have together received 270 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Intellectual Property and Patents (5 papers), Topic Modeling (4 papers), Advanced Text Analysis Techniques (2 papers), Innovation Diffusion and Forecasting (2 papers), Innovation Policy and R&D (2 papers), Machine Learning in Materials Science (2 papers) and Technology Assessment and Management (2 papers). The work is most often cited by research in Management of Technology and Innovation (95 citations), Statistics, Probability and Uncertainty (51 citations), General Social Sciences (13 citations), Artificial Intelligence (73 citations) and Information Systems and Management (15 citations). Guancan Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shuo Xu, Lijun Zhu, Liang Chen, Jing Zhang, Kun Lü, Xiaoping Lei, Xin An, Feifei Wang, Chunya Li and Dar‐Zen Chen. Their work appears in journals such as Journal of Informetrics, Scientometrics, Technological Forecasting and Social Change and Journal of Information Science.
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.