Renfen Hu
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Developmental and Educational Psychology
- Sociology and Political Science
- Co-authors
- Xiaoyong DuZhe ZhaoTao LiuWensi LiLi ShenXiaofei LuShen LiBenyou Wang
- Topics
- Natural Language Processing Techniques (11 papers)Topic Modeling (7 papers)Text Readability and Simplification (6 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Renfen Hu
17 papers receiving 388 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 333
- Information Systems 55
- Computer Vision and Pattern Recognition 32
- Developmental and Educational Psychology 31
- Sociology and Political Science 27
Countries citing papers authored by Renfen Hu
This map shows the geographic impact of Renfen Hu'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 Renfen Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renfen Hu more than expected).
Fields of papers citing papers by Renfen Hu
This network shows the impact of papers produced by Renfen Hu. 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 Renfen Hu. The network helps show where Renfen Hu may publish in the future.
Co-authorship network of co-authors of Renfen Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Renfen Hu. A scholar is included among the top collaborators of Renfen Hu 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 Renfen Hu. Renfen Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 42 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 265 | |
| 14 | 3 | |
| 15 | 41 | |
| 16 | The construction of a Chinese collocational knowledge resource and its application for second language acquisition | 1 |
| 17 | A hybrid system for Chinese-English patent machine translation | 2 |
| 18 | Recognition of Comparative Sentences Based on Syntactic and Semantic Rules-System | 2 |
| 19 | 1 |
About Renfen Hu
Renfen Hu is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics, having authored 19 papers that have together received 408 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (7 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Artificial Intelligence (333 citations), Health Informatics (6 citations) and General Social Sciences (13 citations). Renfen Hu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaoyong Du, Zhe Zhao, Tao Liu, Wensi Li, Li Shen, Xiaofei Lu, Shen Li, Li Shen, Tao Liu and Benyou Wang. Their work appears in journals such as Modern Language Journal, Language Learning and Behavior Research Methods.
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.