Qianhui Liang
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Management Information Systems top 5%
- Sociology and Political Science
- Co-authors
- Bu‐Sung LeeStanley Y. W. SuPeter JagadpramanaMarkus KirchbergRyan K. L. KoSiani PearsonMiranda MowbrayXindong Wu
- Topics
- Service-Oriented Architecture and Web Services (24 papers)Advanced Software Engineering Methodologies (11 papers)Semantic Web and Ontologies (11 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Qianhui Liang
42 papers receiving 641 citations
Peers
Comparison fields: 5 of 59
- Information Systems 578
- Artificial Intelligence 368
- Computer Networks and Communications 240
- Management Information Systems 117
- Sociology and Political Science 38
Countries citing papers authored by Qianhui Liang
This map shows the geographic impact of Qianhui Liang'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 Qianhui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianhui Liang more than expected).
Fields of papers citing papers by Qianhui Liang
This network shows the impact of papers produced by Qianhui Liang. 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 Qianhui Liang. The network helps show where Qianhui Liang may publish in the future.
Co-authorship network of co-authors of Qianhui Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Qianhui Liang. A scholar is included among the top collaborators of Qianhui Liang 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 Qianhui Liang. Qianhui Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Requirements for an Intelligent System for Experts. | 0 |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 24 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | Composite service discovery, description and invocation | 2 |
| 20 | A Color Feature Extraction Method Based on the Clustering Algorithm | 3 |
About Qianhui Liang
Qianhui Liang is a scholar working on Information Systems, Software and Management Information Systems, having authored 44 papers that have together received 705 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (24 papers), Advanced Software Engineering Methodologies (11 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Information Systems (578 citations), Management Information Systems (117 citations) and Artificial Intelligence (368 citations). Qianhui Liang has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Bu‐Sung Lee, Stanley Y. W. Su, Peter Jagadpramana, Markus Kirchberg, Ryan K. L. Ko, Siani Pearson, Miranda Mowbray, Xindong Wu, Herman Lam and Jen‐Yao Chung. Their work appears in journals such as Building and Environment, Information Systems Research 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.