Ling Sun
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 3
- Topic Modeling 3
- Text and Document Classification Technologies 2
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- Misinformation and Its Impacts 4
- Co-authors
- Lianwei Wu (6 shared papers)Ambreen Nazir (4 shared papers)Yuan Rao (2 shared papers)Yuan Rao (3 shared papers)Qing-An Zeng (1 shared paper)Yun Liu (1 shared paper)Fei Xiong (1 shared paper)Michael R. Bartolacci (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (2 papers)Physica A Statistical Mechanics and its Applications (1 paper)ACM Computing Surveys (1 paper)International Journal of Modern Physics C (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ling Sun
8 papers receiving 334 citations
Ling Sun's Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 270
- Statistical and Nonlinear Physics 43
- Information Systems 78
- Sociology and Political Science 118
- General Social Sciences 7
Countries citing papers authored by Ling Sun
This map shows the geographic impact of Ling Sun'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 Ling Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Sun more than expected).
Fields of papers citing papers by Ling Sun
This network shows the impact of papers produced by Ling Sun. 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 Ling Sun. The network helps show where Ling Sun may publish in the future.
Co-authors
The 11 scholars most cited alongside Ling Sun, 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 | Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey Hit paper breakdown → | 2020 | 217 |
| 2 | 2019 | 43 | |
| 3 | 2022 | 25 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 15 | |
| 6 | 2014 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2016 | 7 | |
| 9 | 2021 | 0 |
About Ling Sun
Ling Sun is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Communication, having authored 9 papers that have together received 351 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Misinformation and Its Impacts (4 papers), Complex Network Analysis Techniques (3 papers), Advanced Text Analysis Techniques (3 papers), Topic Modeling (3 papers), Spam and Phishing Detection (2 papers), Text and Document Classification Technologies (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Artificial Intelligence (270 citations), Statistical and Nonlinear Physics (43 citations), Information Systems (78 citations), Sociology and Political Science (118 citations) and General Social Sciences (7 citations). Ling Sun has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lianwei Wu, Ambreen Nazir, Yuan Rao, Yuan Rao, Qing-An Zeng, Yun Liu, Fei Xiong, Yun Liu, Michael R. Bartolacci and I‐Hsien Ting. Their work appears in journals such as IEEE Transactions on Affective Computing, Physica A Statistical Mechanics and its Applications, ACM Computing Surveys, International Journal of Modern Physics C and Proceedings of the AAAI Conference on Artificial Intelligence.
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.