Wei-Fan Chen
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- Mou‐Fa GuoNien‐Che YangY.B. YangLun‐Wei KuBenno SteinHenning WachsmuthTsung‐Yen ChuangKhalid Al‐Khatib
- Topics
- Topic Modeling (11 papers)Sentiment Analysis and Opinion Mining (10 papers)Advanced Text Analysis Techniques (5 papers)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Wei-Fan Chen
32 papers receiving 544 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 179
- Control and Systems Engineering 148
- Civil and Structural Engineering 129
- Electrical and Electronic Engineering 111
- Mechanical Engineering 108
Countries citing papers authored by Wei-Fan Chen
This map shows the geographic impact of Wei-Fan 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 Wei-Fan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Fan Chen more than expected).
Fields of papers citing papers by Wei-Fan Chen
This network shows the impact of papers produced by Wei-Fan 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 Wei-Fan Chen. The network helps show where Wei-Fan Chen may publish in the future.
Co-authorship network of co-authors of Wei-Fan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Fan Chen. A scholar is included among the top collaborators of Wei-Fan 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 Wei-Fan Chen. Wei-Fan 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 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | WordForce: Visualizing Controversial Words in Debates | 5 |
| 10 | Chinese Textual Sentiment Analysis: Datasets, Resources and Tools | 1 |
| 11 | UTCNN: a Deep Learning Model of Stance Classification on Social Media Text | 32 |
| 12 | 30 | |
| 13 | 3 | |
| 14 | Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example | 2 |
| 15 | 57 | |
| 16 | 1 | |
| 17 | Developing a Game-based Learning Environment in Classrooms: A Conceptual Model | 1 |
| 18 | 3 | |
| 19 | Understanding Online Non-Native English Speakers: An Acculturation Approach. | 0 |
| 20 | 36 |
About Wei-Fan Chen
Wei-Fan Chen is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Information Systems, having authored 33 papers that have together received 569 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Control and Systems Engineering (148 citations), Civil and Structural Engineering (129 citations) and Artificial Intelligence (179 citations). Wei-Fan Chen has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Mou‐Fa Guo, Nien‐Che Yang, Y.B. Yang, Lun‐Wei Ku, Benno Stein, Henning Wachsmuth, Tsung‐Yen Chuang, Khalid Al‐Khatib, Chia‐Ying Lee and Yamen Ajjour. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.
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.