Zhaohui Wu
- Information Systems top 0.1%
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 0.5%
- Signal Processing top 0.5%
- Topics
- Service-Oriented Architecture and Web Services (74 papers)Semantic Web and Ontologies (41 papers)Web Data Mining and Analysis (29 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zhaohui Wu
314 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Information Systems 2.4k
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 1.7k
- Computer Networks and Communications 1.6k
- Signal Processing 896
Countries citing papers authored by Zhaohui Wu
This map shows the geographic impact of Zhaohui 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 Zhaohui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaohui Wu more than expected).
Fields of papers citing papers by Zhaohui Wu
This network shows the impact of papers produced by Zhaohui 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 Zhaohui Wu. The network helps show where Zhaohui Wu may publish in the future.
Co-authorship network of co-authors of Zhaohui Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohui Wu. A scholar is included among the top collaborators of Zhaohui 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 Zhaohui Wu. Zhaohui 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 | 10 | |
| 2 | 1 | |
| 3 | 41 | |
| 4 | 52 | |
| 5 | 1 | |
| 6 | Measuring Term Informativeness in Context | 17 |
| 7 | 75 | |
| 8 | 16 | |
| 9 | A Survey on Semantic E-Science Applications | 7 |
| 10 | Ontology-based Scientific Data Service Composition: A Query Rewriting-based Approach. | 2 |
| 11 | Research and design of web services dynamic composition method | 2 |
| 12 | 4 | |
| 13 | Driver behavior modeling in ACT-R cognitive architecture | 5 |
| 14 | 2 | |
| 15 | Dynamic sub-ontology evolution for collaborative problem solving | 3 |
| 16 | Analysis and Implementation of Porting Linux Keyboard Driver | 0 |
| 17 | 2 | |
| 18 | Mining Frequent Maximum Patterns with Constraint | 1 |
| 19 | Research on a concurrent algorithm of component software architecture | 0 |
| 20 | Changes of gene expression in atrophic muscle induced by brachial plexus injury in rats | 1 |
About Zhaohui Wu
Zhaohui Wu is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 325 papers that have together received 7.0k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (74 papers), Semantic Web and Ontologies (41 papers) and Web Data Mining and Analysis (29 papers). The work is most often cited by research in Information Systems (2.4k citations), Transportation (648 citations) and Signal Processing (896 citations). Zhaohui Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gang Pan, Shuiguang Deng, Lin Sun, Jianwei Yin, Shijian Li, C. Lee Giles, Shihong Lao, Xuelong Li, Deng Cai and Thomas S. Huang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Oncogene.
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.