Yi Han
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Developmental Neuroscience top 10%
Papers in
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- Complex Network Analysis Techniques 20
- Opinion Dynamics and Social Influence 9
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- Advanced Text Analysis Techniques 7
- Sentiment Analysis and Opinion Mining 6
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Co-authors
- Yan Jia (16 shared papers)Mahendra S. Rao (3 shared papers)Xianmin Zeng (3 shared papers)Andrzej Swistowski (3 shared papers)Anna Maria Swistowska (2 shared papers)Bin Zhou (12 shared papers)Jian Pei (2 shared papers)Jun Peng (1 shared paper)
- Journals
- Stem Cell Research & Therapy (2 papers)PLoS ONE (2 papers)China Communications (2 papers)Ultrasonics Sonochemistry (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Han
45 papers receiving 650 citations
Peers
Comparison fields: 5 of 101
- Statistical and Nonlinear Physics 133
- Developmental Neuroscience 38
- Artificial Intelligence 207
- Hematology 58
- Computational Mathematics 3
Countries citing papers authored by Yi Han
This map shows the geographic impact of Yi Han'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 Yi Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Han more than expected).
Fields of papers citing papers by Yi Han
This network shows the impact of papers produced by Yi Han. 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 Yi Han. The network helps show where Yi Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Han, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 120 | |
| 2 | 1998 | 72 | |
| 3 | 2009 | 69 | |
| 4 | 2009 | 44 | |
| 5 | 2009 | 38 | |
| 6 | 2009 | 36 | |
| 7 | 2013 | 32 | |
| 8 | 2017 | 27 | |
| 9 | 2014 | 18 | |
| 10 | 2013 | 18 | |
| 11 | 2017 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2012 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 1999 | 9 | |
| 19 | 2013 | 8 | |
| 20 | 2014 | 8 |
About Yi Han
Yi Han is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 46 papers that have together received 669 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (9 papers), Spam and Phishing Detection (8 papers), Web Data Mining and Analysis (8 papers), Advanced Text Analysis Techniques (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (133 citations), Developmental Neuroscience (38 citations), Artificial Intelligence (207 citations), Hematology (58 citations) and Computational Mathematics (3 citations). Yi Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan Jia, Mahendra S. Rao, Xianmin Zeng, Andrzej Swistowski, Anna Maria Swistowska, Bin Zhou, Jian Pei, Jun Peng, Bin Zhou and Bin Jiang. Their work appears in journals such as Stem Cell Research & Therapy, PLoS ONE, China Communications, Ultrasonics Sonochemistry and Cell Research.
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.