Dan Shen
Impact in
- Nuclear Energy and Engineering top 0.2%
- Advanced Energy Technologies and Civil Engineering Innovations
- Pollution top 5%
- Smart Materials for Construction
Papers in
-
- Narrative Theory and Analysis 16
- Short Stories in Global Literature 5
- Literary Theory and Cultural Hermeneutics 5
-
- Language, Metaphor, and Cognition 19
- Co-authors
- Zhi Li (2 shared papers)Qi Mao (2 shared papers)Ming Sun (1 shared paper)Jiawei Long (1 shared paper)Yu‐Zhong Wang (1 shared paper)Li Chen (1 shared paper)Ying‐Jun Xu (1 shared paper)Xiao-Hui Shi (1 shared paper)
- Journals
- Style (11 papers)Poetics Today (3 papers)Narrative (3 papers)Language and Literature International Journal of Stylistics (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Shen
72 papers receiving 987 citations
Peers
Comparison fields: 5 of 153
- Nuclear Energy and Engineering 143
- Pollution 253
- Literature and Literary Theory 139
- Polymers and Plastics 173
- Statistics and Probability 92
Countries citing papers authored by Dan Shen
This map shows the geographic impact of Dan Shen'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 Dan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shen more than expected).
Fields of papers citing papers by Dan Shen
This network shows the impact of papers produced by Dan Shen. 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 Dan Shen. The network helps show where Dan Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shen, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 163 | |
| 2 | 2017 | 142 | |
| 3 | 1998 | 113 | |
| 4 | 2021 | 66 | |
| 5 | 2012 | 61 | |
| 6 | 2019 | 35 | |
| 7 | 2016 | 35 | |
| 8 | 2018 | 26 | |
| 9 | 2013 | 26 | |
| 10 | 2013 | 22 | |
| 11 | 2015 | 22 | |
| 12 | 2005 | 22 | |
| 13 | 2012 | 18 | |
| 14 | 2007 | 18 | |
| 15 | 2004 | 18 | |
| 16 | 2002 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2013 | 14 | |
| 20 | 2017 | 13 |
About Dan Shen
Dan Shen is a scholar working on Literature and Literary Theory, Experimental and Cognitive Psychology, Language and Linguistics, Philosophy and Artificial Intelligence, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (19 papers), Narrative Theory and Analysis (16 papers), Translation Studies and Practices (10 papers), Rhetoric and Communication Studies (6 papers), Traditional Chinese Medicine Analysis (6 papers), Traditional Chinese Medicine Studies (6 papers), Short Stories in Global Literature (5 papers) and Literary Theory and Cultural Hermeneutics (5 papers). The work is most often cited by research in Nuclear Energy and Engineering (143 citations), Pollution (253 citations), Literature and Literary Theory (139 citations), Polymers and Plastics (173 citations) and Statistics and Probability (92 citations). Dan Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhi Li, Qi Mao, Ming Sun, Ming Sun, Jiawei Long, Yu‐Zhong Wang, Li Chen, Ying‐Jun Xu, Xiao-Hui Shi and J. S. Marron. Their work appears in journals such as Style, Poetics Today, Narrative, Language and Literature International Journal of Stylistics and Scientific Reports.
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.