Hai Zhuge
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Xiaoping SunJingqiang ChenJie LiuJunsheng ZhangXiaorui JiangH.K. PungYunchuan SunTo-Yat Cheung
- Topics
- Cognitive Computing and Networks (57 papers)Semantic Web and Ontologies (43 papers)Service-Oriented Architecture and Web Services (39 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Hai Zhuge
163 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 2.1k
- Information Systems 1.3k
- Computer Networks and Communications 1.0k
- Computer Vision and Pattern Recognition 434
- Statistical and Nonlinear Physics 364
Countries citing papers authored by Hai Zhuge
This map shows the geographic impact of Hai Zhuge'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 Hai Zhuge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Zhuge more than expected).
Fields of papers citing papers by Hai Zhuge
This network shows the impact of papers produced by Hai Zhuge. 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 Hai Zhuge. The network helps show where Hai Zhuge may publish in the future.
Co-authorship network of co-authors of Hai Zhuge
This figure shows the co-authorship network connecting the top 25 collaborators of Hai Zhuge. A scholar is included among the top collaborators of Hai Zhuge 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 Hai Zhuge. Hai Zhuge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 30 | |
| 5 | 27 | |
| 6 | Exploring differential topic models for comparative summarization of scientific papers | 9 |
| 7 | 0 | |
| 8 | 4 | |
| 9 | A text scanning mechanism simulating human reading process | 6 |
| 10 | 149 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 108 | |
| 14 | 2 | |
| 15 | Semantic Link Network Builder and Intelligent Semantic Browser: Research Articles | 8 |
| 16 | Service Integration Based on Componential Process Construction and Service Grid. | 1 |
| 17 | Semantic-based Web Image Retrieval. | 1 |
| 18 | 54 | |
| 19 | 8 | |
| 20 | 22 |
About Hai Zhuge
Hai Zhuge is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 173 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cognitive Computing and Networks (57 papers), Semantic Web and Ontologies (43 papers) and Service-Oriented Architecture and Web Services (39 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Information Systems (1.3k citations) and Information Systems and Management (331 citations). Hai Zhuge has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiaoping Sun, Jingqiang Chen, Jie Liu, Junsheng Zhang, Xiaorui Jiang, H.K. Pung, Yunchuan Sun, To-Yat Cheung, Bei Xu and Peng Shi. Their work appears in journals such as PLoS ONE, Communications of the ACM and Expert Systems with Applications.
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.