Qianhui Liang

1.1k total citations
44 papers, 705 citations indexed

About

Qianhui Liang is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qianhui Liang has authored 44 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 26 papers in Artificial Intelligence and 17 papers in Computer Networks and Communications. Recurrent topics in Qianhui Liang's work include Service-Oriented Architecture and Web Services (24 papers), Advanced Software Engineering Methodologies (11 papers) and Semantic Web and Ontologies (11 papers). Qianhui Liang is often cited by papers focused on Service-Oriented Architecture and Web Services (24 papers), Advanced Software Engineering Methodologies (11 papers) and Semantic Web and Ontologies (11 papers). Qianhui Liang collaborates with scholars based in United States, Singapore and China. Qianhui Liang's co-authors include Bu‐Sung Lee, Stanley Y. W. Su, Ryan K. L. Ko, Markus Kirchberg, Peter Jagadpramana, Miranda Mowbray, Siani Pearson, Xindong Wu, Jen‐Yao Chung and Herman Lam and has published in prestigious journals such as Building and Environment, Information Systems Research and Future Generation Computer Systems.

In The Last Decade

Qianhui Liang

42 papers receiving 641 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qianhui Liang United States 13 578 368 240 117 38 44 705
Wolfgang Schreiner Austria 7 491 0.8× 333 0.9× 277 1.2× 161 1.4× 23 0.6× 48 633
Régis Saint-Paul Australia 12 407 0.7× 230 0.6× 215 0.9× 207 1.8× 28 0.7× 22 525
Babak Esfandiari Canada 11 283 0.5× 304 0.8× 228 0.9× 107 0.9× 67 1.8× 66 498
Federico Michele Facca Italy 12 405 0.7× 213 0.6× 193 0.8× 67 0.6× 38 1.0× 30 591
Marc Oriol Spain 14 517 0.9× 240 0.7× 249 1.0× 109 0.9× 31 0.8× 39 713
Hongbing Wang China 14 578 1.0× 340 0.9× 376 1.6× 104 0.9× 23 0.6× 55 730
Anton Michlmayr Austria 12 468 0.8× 268 0.7× 291 1.2× 171 1.5× 19 0.5× 20 549
Nikola Milanović Germany 10 523 0.9× 324 0.9× 305 1.3× 196 1.7× 19 0.5× 23 645
Jacek Kopecký United Kingdom 11 673 1.2× 543 1.5× 309 1.3× 193 1.6× 33 0.9× 22 822
Rafael Corchuelo Spain 15 474 0.8× 338 0.9× 236 1.0× 77 0.7× 15 0.4× 76 668

Countries citing papers authored by Qianhui Liang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhou, Huan, et al.. (2020). DCEM: A data cell evolution model for service composition based on bigraph theory. Future Generation Computer Systems. 112. 330–347. 3 indexed citations
2.
3.
Liang, Qianhui, et al.. (2019). Quantifying legibility of indoor spaces using Deep Convolutional Neural Networks: Case studies in train stations. Building and Environment. 160. 106099–106099. 15 indexed citations
4.
Wang, Huanjing, Taghi M. Khoshgoftaar, & Qianhui Liang. (2013). A STUDY OF SOFTWARE METRIC SELECTION TECHNIQUES: STABILITY ANALYSIS AND DEFECT PREDICTION MODEL PERFORMANCE. International Journal of Artificial Intelligence Tools. 22(5). 1360010–1360010. 13 indexed citations
5.
Wang, Huanjing, et al.. (2011). Stability and Classification Performance of Feature Selection Techniques. 151–156. 4 indexed citations
6.
Gioachin, Filippo, Qianhui Liang, Yuxia Yao, & Bu‐Sung Lee. (2011). SOFTWARE VERSIONING IN THE CLOUD - Towards Automatic Source Code Management. DR-NTU (Nanyang Technological University). 160–165. 1 indexed citations
7.
Liang, Qianhui & Bu‐Sung Lee. (2011). Delivering High Resilience in Designing Platform-as-a-Service Clouds. 17. 676–683. 7 indexed citations
8.
Rubin, Stuart H., et al.. (2010). Requirements for an Intelligent System for Experts.. Computers and Their Applications. 228–233.
9.
Li, Peipei, Xindong Wu, Xuegang Hu, Qianhui Liang, & Yunjun Gao. (2010). A RANDOM DECISION TREE ENSEMBLE FOR MINING CONCEPT DRIFTS FROM NOISY DATA STREAMS. Applied Artificial Intelligence. 24(7). 680–710. 16 indexed citations
10.
Wu, Jian, Qianhui Liang, & Elisa Bertino. (2009). Improving Scalability of Software Cloud for Composite Web Services. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 143–146. 17 indexed citations
11.
Liang, Qianhui & Stuart H. Rubin. (2009). Randomization for testing systems of systems. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1. 110–114. 8 indexed citations
12.
Liang, Qianhui & Stuart H. Rubin. (2008). Rule randomization for propositional logic-based workflow verification. 374–379. 2 indexed citations
13.
Liang, Qianhui & Herman Lam. (2008). Web Service Matching by Ontology Instance Categorization. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 202–209. 24 indexed citations
14.
Liang, Qianhui, et al.. (2008). A Rule-Based Approach for Availability of Web Service. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 153–160. 15 indexed citations
15.
Liang, Qianhui, Hoong Chuin Lau, & Xindong Wu. (2008). Robust Application-Level QoS Management in Service-Oriented Systems. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). www 2007. 239–246. 2 indexed citations
16.
Liang, Qianhui & Stuart H. Rubin. (2007). Randomization in Searching for Composites of Software Components. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 42–48. 4 indexed citations
17.
Liang, Qianhui, et al.. (2007). Analyzing Service Usage Patterns: Methodology and Simulation. 2. 359–362. 3 indexed citations
18.
Liang, Qianhui, Jen‐Yao Chung, & Steven Miller. (2006). Modeling semantics in composite Web service requests by utility elicitation. Knowledge and Information Systems. 13(3). 367–394. 9 indexed citations
19.
Liang, Qianhui, Stanley Y. W. Su, & Herman Lam. (2004). Composite service discovery, description and invocation. 2 indexed citations
20.
Xu, Xin, et al.. (1999). A Color Feature Extraction Method Based on the Clustering Algorithm. 11(5). 385–388. 3 indexed citations

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.

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