Youzheng Wu
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Renewable Energy, Sustainability and the Environment
- Topics
- Topic Modeling (37 papers)Natural Language Processing Techniques (25 papers)Speech Recognition and Synthesis (11 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Youzheng Wu
53 papers receiving 600 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 539
- Information Systems 113
- Computer Vision and Pattern Recognition 96
- Signal Processing 44
- Renewable Energy, Sustainability and the Environment 33
Countries citing papers authored by Youzheng Wu
This map shows the geographic impact of Youzheng 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 Youzheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youzheng Wu more than expected).
Fields of papers citing papers by Youzheng Wu
This network shows the impact of papers produced by Youzheng 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 Youzheng Wu. The network helps show where Youzheng Wu may publish in the future.
Co-authorship network of co-authors of Youzheng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Youzheng Wu. A scholar is included among the top collaborators of Youzheng 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 Youzheng Wu. Youzheng 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 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 36 | |
| 8 | Open Temporal Relation Extraction for Question Answering | 2 |
| 9 | 24 | |
| 10 | Enhancing Automated Essay Scoring Performance via Cohesion Measurement and Combination of Regression and Ranking | 2 |
| 11 | 50 | |
| 12 | 63 | |
| 13 | Recurrent Neural Network-based Tuple Sequence Model for Machine Translation | 3 |
| 14 | Factored recurrent neural network language model in TED lecture transcription. | 6 |
| 15 | Factored Language Model based on Recurrent Neural Network | 21 |
| 16 | Answering Complex Questions via Exploiting Social Q&A Collection | 1 |
| 17 | NiCT at TREC 2010: Related Entity Finding. | 1 |
| 18 | NiCT at TREC 2009: Employing Three Models for Entity Ranking Track | 12 |
| 19 | NiCT/ATR in NTCIR-7 CCLQA track: Answering complex cross-lingual questions | 2 |
| 20 | Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering | 8 |
About Youzheng Wu
Youzheng Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 632 indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Natural Language Processing Techniques (25 papers) and Speech Recognition and Synthesis (11 papers). The work is most often cited by research in Artificial Intelligence (539 citations), Information Systems (113 citations) and Computer Vision and Pattern Recognition (96 citations). Youzheng Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaodong He, Bowen Zhou, Bo Xu, Jun Zhao, Hideki Kashioka, Peng Yuan, Chiori Hori, Junwei Bao, Haoran Li and Ruosong Yang. Their work appears in journals such as Nano Letters, Advanced Functional Materials and Journal of Power Sources.
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.