Chien Chin Chen
- Artificial Intelligence top 5%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Information Systems and Management top 5%
- Co-authors
- Meng Chang ChenYeali S. SunMeng LeeYao‐Tsung ChenYung‐Chun ChangMing-Syan Chen⋆PoLin LaiWen-Lian Hsu
- Topics
- Topic Modeling (12 papers)Web Data Mining and Analysis (8 papers)Recommender Systems and Techniques (8 papers)
- Journals
- Information SciencesIEEE Transactions on Knowledge and Data EngineeringDecision Support Systems
- Partner nations
- Taiwan
In The Last Decade
Chien Chin Chen
32 papers receiving 595 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 319
- Information Systems 273
- Sociology and Political Science 186
- Statistical and Nonlinear Physics 103
- Information Systems and Management 77
Countries citing papers authored by Chien Chin Chen
This map shows the geographic impact of Chien Chin Chen'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 Chien Chin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien Chin Chen more than expected).
Fields of papers citing papers by Chien Chin Chen
This network shows the impact of papers produced by Chien Chin Chen. 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 Chien Chin Chen. The network helps show where Chien Chin Chen may publish in the future.
Co-authorship network of co-authors of Chien Chin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chien Chin Chen. A scholar is included among the top collaborators of Chien Chin Chen 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 Chien Chin Chen. Chien Chin Chen 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 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 26 | |
| 6 | 10 | |
| 7 | 33 | |
| 8 | 3 | |
| 9 | An Effective Friend Recommendation Method Using Learning to Rank and Social Influence | 5 |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 96 | |
| 13 | 11 | |
| 14 | A Study of Machine Learning Models in Epidemic Surveillance: Using the Query Logs of Search Engines | 6 |
| 15 | Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis | 2 |
| 16 | 16 | |
| 17 | 0 | |
| 18 | 29 | |
| 19 | 2 | |
| 20 | 17 |
About Chien Chin Chen
Chien Chin Chen is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 36 papers that have together received 634 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Web Data Mining and Analysis (8 papers) and Recommender Systems and Techniques (8 papers). The work is most often cited by research in Information Systems (273 citations), Information Systems and Management (77 citations) and Artificial Intelligence (319 citations). Chien Chin Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Meng Chang Chen, Yeali S. Sun, Meng Lee, Yao‐Tsung Chen, Yung‐Chun Chang, Ming-Syan Chen⋆, PoLin Lai, Wen-Lian Hsu, Wen‐Lian Hsu and Wen−Lian Hsu. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Decision Support Systems.
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.