Changlong Sun
- Artificial Intelligence top 2%
- Political Science and International Relations top 5%
- Experimental and Cognitive Psychology top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Xiaozhong LiuShoushan LiGuodong ZhouLuo SiDong ZhangQiaoming ZhuYangyang KangFei Wu
- Topics
- Topic Modeling (30 papers)Natural Language Processing Techniques (19 papers)Sentiment Analysis and Opinion Mining (16 papers)
- Cited by
- Artificial IntelligenceExperimental and Cognitive PsychologyPolitical Science and International Relations
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Functional MaterialsChemical Engineering Journal
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Changlong Sun
61 papers receiving 761 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 593
- Political Science and International Relations 129
- Experimental and Cognitive Psychology 121
- Information Systems 68
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Changlong Sun
This map shows the geographic impact of Changlong 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 Changlong Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlong Sun more than expected).
Fields of papers citing papers by Changlong Sun
This network shows the impact of papers produced by Changlong 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 Changlong Sun. The network helps show where Changlong Sun may publish in the future.
Co-authorship network of co-authors of Changlong Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Changlong Sun. A scholar is included among the top collaborators of Changlong Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changlong Sun. Changlong Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 29 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 47 | |
| 16 | 0 | |
| 17 | 17 | |
| 18 | 54 | |
| 19 | One vs. Many QA Matching with both Word-level and Sentence-level Attention Network | 1 |
| 20 | Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases. | 4 |
About Changlong Sun
Changlong Sun is a scholar working on Artificial Intelligence, Law and Space and Planetary Science, having authored 72 papers that have together received 787 indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (19 papers) and Sentiment Analysis and Opinion Mining (16 papers). The work is most often cited by research in Artificial Intelligence (593 citations), Experimental and Cognitive Psychology (121 citations) and Political Science and International Relations (129 citations). Changlong Sun has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Xiaozhong Liu, Shoushan Li, Guodong Zhou, Luo Si, Dong Zhang, Qiaoming Zhu, Yangyang Kang, Fei Wu, Yating Zhang and Kun Kuang. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Chemical Engineering Journal.
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.