Yufang Hou
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Molecular Biology
- Co-authors
- Katja MarkertMichael StrubeHenning WachsmuthBenno SteinCharles JochimNona NaderiGraeme HirstDakuo Wang
- Topics
- Topic Modeling (35 papers)Natural Language Processing Techniques (26 papers)Advanced Text Analysis Techniques (11 papers)
- Journals
- Pattern RecognitionJournal of materials research/Pratt's guide to venture capital sourcesComputational Linguistics
- Partner nations
- IrelandUnited StatesGermany
In The Last Decade
Yufang Hou
43 papers receiving 518 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 496
- Information Systems 115
- Computer Vision and Pattern Recognition 56
- Sociology and Political Science 34
- Molecular Biology 23
Countries citing papers authored by Yufang Hou
This map shows the geographic impact of Yufang Hou'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 Yufang Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yufang Hou more than expected).
Fields of papers citing papers by Yufang Hou
This network shows the impact of papers produced by Yufang Hou. 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 Yufang Hou. The network helps show where Yufang Hou may publish in the future.
Co-authorship network of co-authors of Yufang Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Yufang Hou. A scholar is included among the top collaborators of Yufang Hou 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 Yufang Hou. Yufang Hou 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 17 | |
| 15 | HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports. | 1 |
| 16 | 27 | |
| 17 | Incremental Fine-grained Information Status Classification Using Attention-based LSTMs | 10 |
| 18 | 13 | |
| 19 | Global Inference for Bridging Anaphora Resolution | 29 |
| 20 | Collective Classification for Fine-grained Information Status | 34 |
About Yufang Hou
Yufang Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 50 papers that have together received 543 indexed citations. Recurring topics across this work include Topic Modeling (35 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (496 citations), Information Systems (115 citations) and Computer Vision and Pattern Recognition (56 citations). Yufang Hou has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include Katja Markert, Michael Strube, Henning Wachsmuth, Benno Stein, Charles Jochim, Nona Naderi, Graeme Hirst, Dakuo Wang, Vinodkumar Prabhakaran and Yonatan Bilu. Their work appears in journals such as Pattern Recognition, Journal of materials research/Pratt's guide to venture capital sources and Computational Linguistics.
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.