Chengjie Sun
- Artificial Intelligence top 1%
- Molecular Biology
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Xiaolong WangBingquan LiuBaoxun WangLei LinYuanchao LiuXin WangZhen XuLili Shan
- Topics
- Topic Modeling (38 papers)Natural Language Processing Techniques (21 papers)Advanced Text Analysis Techniques (18 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Chengjie Sun
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 905
- Molecular Biology 349
- Information Systems 218
- Computer Vision and Pattern Recognition 107
- Sociology and Political Science 75
Countries citing papers authored by Chengjie Sun
This map shows the geographic impact of Chengjie 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 Chengjie Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengjie Sun more than expected).
Fields of papers citing papers by Chengjie Sun
This network shows the impact of papers produced by Chengjie 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 Chengjie Sun. The network helps show where Chengjie Sun may publish in the future.
Co-authorship network of co-authors of Chengjie Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Chengjie Sun. A scholar is included among the top collaborators of Chengjie 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 Chengjie Sun. Chengjie 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 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 27 | |
| 8 | Enlarging drug dictionary with semi-supervised learning for Drug Entity Recognition | 1 |
| 9 | 2 | |
| 10 | 180 | |
| 11 | Computing Semantic Text Similarity Using Rich Features | 9 |
| 12 | YouTube Movie Reviews: In, Cross, and Open-domain Sentiment Analysis in an Audiovisual Context | 7 |
| 13 | 4 | |
| 14 | Comparison and Improvement of feature selection method for text categorization | 4 |
| 15 | Learning to Detect Hedges and their Scope Using CRF | 5 |
| 16 | Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities | 39 |
| 17 | 13 | |
| 18 | Name Origin Recognition Using Maximum Entropy Model and Diverse Features | 2 |
| 19 | 241 | |
| 20 | 30 |
About Chengjie Sun
Chengjie Sun is a scholar working on Artificial Intelligence, Computational Mathematics and Information Systems, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Natural Language Processing Techniques (21 papers) and Advanced Text Analysis Techniques (18 papers). The work is most often cited by research in Artificial Intelligence (905 citations), Computational Mathematics (6 citations) and Information Systems (218 citations). Chengjie Sun has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Xiaolong Wang, Bingquan Liu, Baoxun Wang, Lei Lin, Yuanchao Liu, Xin Wang, Zhen Xu, Lili Shan, Jörg Hakenberg and Michael Krauthammer. Their work appears in journals such as Chemistry of Materials, Food Chemistry and IEEE Transactions on Geoscience and Remote Sensing.
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.