Wubai Zhou
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Tao LiChunqiu ZengWei XueLarisa ShwartzGenady Ya. GrabarnikYexi JiangS. S. IyengarNing Xie
- Topics
- Web Data Mining and Analysis (10 papers)Text and Document Classification Technologies (8 papers)Data Mining Algorithms and Applications (5 papers)
- Journals
- ACM Computing SurveysIEEE Transactions on Knowledge and Data EngineeringFuture Generation Computer Systems
- Partner nations
- United StatesChina
In The Last Decade
Wubai Zhou
24 papers receiving 646 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 343
- Information Systems 227
- Computer Networks and Communications 157
- Computer Vision and Pattern Recognition 94
- Management Science and Operations Research 93
Countries citing papers authored by Wubai Zhou
This map shows the geographic impact of Wubai Zhou'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 Wubai Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wubai Zhou more than expected).
Fields of papers citing papers by Wubai Zhou
This network shows the impact of papers produced by Wubai Zhou. 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 Wubai Zhou. The network helps show where Wubai Zhou may publish in the future.
Co-authorship network of co-authors of Wubai Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Wubai Zhou. A scholar is included among the top collaborators of Wubai Zhou 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 Wubai Zhou. Wubai Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | Data-Driven Techniques in Disaster Information Managementbreakdown → | 250 |
| 6 | MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews | 34 |
| 7 | 28 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 21 | |
| 13 | 58 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 25 | |
| 17 | 12 | |
| 18 | 17 | |
| 19 | 18 | |
| 20 | 27 |
About Wubai Zhou
Wubai Zhou is a scholar working on Information Systems, Geography, Planning and Development and Artificial Intelligence, having authored 24 papers that have together received 667 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (10 papers), Text and Document Classification Technologies (8 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (343 citations), Information Systems (227 citations) and Management Science and Operations Research (93 citations). Wubai Zhou has collaborated with scholars based in United States and China. Frequent co-authors include Tao Li, Chunqiu Zeng, Wei Xue, Larisa Shwartz, Genady Ya. Grabarnik, Yexi Jiang, S. S. Iyengar, Ning Xie, Shu‐Ching Chen and Zheng Li. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.
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.