Yunfang Wu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Management Science and Operations Research
- Topics
- Topic Modeling (38 papers)Natural Language Processing Techniques (32 papers)Advanced Text Analysis Techniques (14 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yunfang Wu
52 papers receiving 407 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 356
- Computer Vision and Pattern Recognition 77
- Information Systems 45
- Molecular Biology 17
- Management Science and Operations Research 17
Countries citing papers authored by Yunfang Wu
This map shows the geographic impact of Yunfang Wu'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 Yunfang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunfang Wu more than expected).
Fields of papers citing papers by Yunfang Wu
This network shows the impact of papers produced by Yunfang Wu. 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 Yunfang Wu. The network helps show where Yunfang Wu may publish in the future.
Co-authorship network of co-authors of Yunfang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunfang Wu. A scholar is included among the top collaborators of Yunfang Wu 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 Yunfang Wu. Yunfang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | Model of Diagnosing Abnormal Behavior of Dam Based on Multi-monitoring Points and Bayes Fusion Theory | 1 |
| 13 | SemEval-2012 Task 4: Evaluating Chinese Word Similarity | 27 |
| 14 | Graph-Based Automatic Acquisition of Semantic Classes | 1 |
| 15 | Research on News Report Text Sentiment Tendency | 1 |
| 16 | Chinese Semantic Role Labeling Based on Lexical Semantic Features | 2 |
| 17 | A Study on Chinese Prosodic Hierarchy Prediction Based on Dependency Grammar Analysis | 1 |
| 18 | 7 | |
| 19 | Ensembles of Classifiers for Chinese Word Sense Disambiguation | 3 |
| 20 | Analysis to Abnormal Values in Dam Safety Monitoring and Its Module Creation | 4 |
About Yunfang Wu
Yunfang Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 433 indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Natural Language Processing Techniques (32 papers) and Advanced Text Analysis Techniques (14 papers). The work is most often cited by research in Artificial Intelligence (356 citations), Computer Vision and Pattern Recognition (77 citations) and Metals and Alloys (7 citations). Yunfang Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Minghua Zhang, Peng Jin, Wenjie Zhou, Miaomiao Wen, Xu Sun, Xin Jia, Shiwen Yu, Weikang Li, Wei Li and Fei Wang. Their work appears in journals such as International Journal of Molecular Sciences, Advanced Science and Neurocomputing.
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.