Ling Sun
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
-
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 3
- Topic Modeling 3
- Text and Document Classification Technologies 2
-
- 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)Fei Xiong (1 shared paper)Yun Liu (1 shared paper)Michael R. Bartolacci (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (2 papers)International Journal of Modern Physics C (1 paper)ACM Computing Surveys (1 paper)Physica A Statistical Mechanics and its Applications (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 312 citations
Ling Sun's Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 253
- Information Systems 75
- Statistical and Nonlinear Physics 40
- Sociology and Political Science 113
- General Social Sciences 6
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 | 206 |
| 2 | 2019 | 43 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2014 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 9 | |
| 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 330 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Misinformation and Its Impacts (4 papers), Advanced Text Analysis Techniques (3 papers), Complex Network 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 (253 citations), Information Systems (75 citations), Statistical and Nonlinear Physics (40 citations), Sociology and Political Science (113 citations) and General Social Sciences (6 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, Fei Xiong, Yun Liu, Michael R. Bartolacci, Yun Liu and I‐Hsien Ting. Their work appears in journals such as IEEE Transactions on Affective Computing, International Journal of Modern Physics C, ACM Computing Surveys, Physica A Statistical Mechanics and its Applications 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.