Cane Wing-ki Leung

789 total citations
20 papers, 466 citations indexed

About

Cane Wing-ki Leung is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Cane Wing-ki Leung has authored 20 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Cane Wing-ki Leung's work include Recommender Systems and Techniques (8 papers), Complex Network Analysis Techniques (6 papers) and Topic Modeling (5 papers). Cane Wing-ki Leung is often cited by papers focused on Recommender Systems and Techniques (8 papers), Complex Network Analysis Techniques (6 papers) and Topic Modeling (5 papers). Cane Wing-ki Leung collaborates with scholars based in Hong Kong, Singapore and China. Cane Wing-ki Leung's co-authors include Fu-Lai Chung, Stephen Chan, Yangqiu Song, Qiang Yang, Hongming Zhang, Haojie Pan, Xin Liu, Juanzi Li, Ee‐Peng Lim and Grace Ngai and has published in prestigious journals such as Journal of the Association for Information Systems, Knowledge-Based Systems and Knowledge and Information Systems.

In The Last Decade

Cane Wing-ki Leung

20 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cane Wing-ki Leung Hong Kong 12 250 226 120 73 66 20 466
Rahul Pandey United States 4 319 1.3× 222 1.0× 39 0.3× 79 1.1× 65 1.0× 11 465
Huawei Shen China 14 337 1.3× 149 0.7× 174 1.4× 63 0.9× 36 0.5× 44 526
Wentao Ouyang China 8 244 1.0× 170 0.8× 169 1.4× 59 0.8× 40 0.6× 16 409
Dmitry Pavlov United States 11 250 1.0× 254 1.1× 30 0.3× 95 1.3× 56 0.8× 16 487
Yeon-Chang Lee South Korea 12 266 1.1× 254 1.1× 71 0.6× 131 1.8× 35 0.5× 35 429
Stephen Guo United States 7 240 1.0× 122 0.5× 38 0.3× 32 0.4× 64 1.0× 16 413
Smriti Bhagat United States 11 356 1.4× 208 0.9× 186 1.6× 32 0.4× 208 3.2× 18 605
Qiming Diao Singapore 4 366 1.5× 262 1.2× 129 1.1× 54 0.7× 42 0.6× 6 474
Chonggang Song China 7 234 0.9× 259 1.1× 100 0.8× 49 0.7× 32 0.5× 12 408
Xuezhi Cao China 10 300 1.2× 241 1.1× 58 0.5× 84 1.2× 23 0.3× 21 408

Countries citing papers authored by Cane Wing-ki Leung

Since Specialization
Citations

This map shows the geographic impact of Cane Wing-ki Leung'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 Cane Wing-ki Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cane Wing-ki Leung more than expected).

Fields of papers citing papers by Cane Wing-ki Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cane Wing-ki Leung. 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 Cane Wing-ki Leung. The network helps show where Cane Wing-ki Leung may publish in the future.

Co-authorship network of co-authors of Cane Wing-ki Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Cane Wing-ki Leung. A scholar is included among the top collaborators of Cane Wing-ki Leung 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 Cane Wing-ki Leung. Cane Wing-ki Leung 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.
Leung, Cane Wing-ki, et al.. (2021). Improving Model Generalization: A Chinese Named Entity Recognition Case Study. 992–997. 1 indexed citations
2.
Leung, Cane Wing-ki, et al.. (2021). Using Social Media to Analyze Public Concerns and Policy Responses to COVID-19 in Hong Kong. ACM Transactions on Management Information Systems. 12(4). 1–20. 4 indexed citations
3.
Zhang, Hongming, Xin Liu, Haojie Pan, Yangqiu Song, & Cane Wing-ki Leung. (2020). ASER: A Large-scale Eventuality Knowledge Graph. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 201–211. 74 indexed citations
4.
Zhang, Ji, et al.. (2020). Target-Guided Structured Attention Network for Target-Dependent Sentiment Analysis. Transactions of the Association for Computational Linguistics. 8. 172–182. 12 indexed citations
5.
Wei, Ying, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, & Qiang Yang. (2016). Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 16 indexed citations
6.
Yang, Yang, Jie Tang, Cane Wing-ki Leung, et al.. (2015). RAIN: Social Role-Aware Information Diffusion. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 67 indexed citations
7.
Zhang, Jing, Jie Tang, Honglei Zhuang, Cane Wing-ki Leung, & Juanzi Li. (2014). Role-aware conformity influence modeling and analysis in social networks. National Conference on Artificial Intelligence. 958–964. 13 indexed citations
8.
Zhang, Jing, Jie Tang, Honglei Zhuang, Cane Wing-ki Leung, & Juanzi Li. (2014). Role-Aware Conformity Modeling and Analysis in Social Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 11 indexed citations
9.
Song, Yangqiu, Zhengdong Lu, Cane Wing-ki Leung, & Qiang Yang. (2013). Collaborative boosting for activity classification in microblogs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 482–490. 14 indexed citations
10.
Leung, Cane Wing-ki, et al.. (2011). Unsupervised Information Extraction with Distributional Prior Knowledge. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 814–824. 4 indexed citations
11.
Leung, Cane Wing-ki, Stephen Chan, Fu-Lai Chung, & Grace Ngai. (2011). A probabilistic rating inference framework for mining user preferences from reviews. World Wide Web. 14(2). 187–215. 44 indexed citations
12.
Leung, Cane Wing-ki, Ee‐Peng Lim, David Lo, & Jianshu Weng. (2010). Mining interesting link formation rules in social networks. 209–218. 29 indexed citations
13.
Weng, Jianshu, Ee‐Peng Lim, Qi He, & Cane Wing-ki Leung. (2010). What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter. 1121–1126. 14 indexed citations
14.
Leung, Cane Wing-ki, Stephen Chan, & Fu-Lai Chung. (2008). Evaluation of a Rating Inference Approach to Utilizing Textual Reviews for Collaborative Recommendation. 94–109. 2 indexed citations
15.
Leung, Cane Wing-ki, Stephen Chan, & Fu-Lai Chung. (2008). An empirical study of a cross-level association rule mining approach to cold-start recommendations. Knowledge-Based Systems. 21(7). 515–529. 62 indexed citations
16.
Leung, Cane Wing-ki, et al.. (2007). Applying Cross-Level Association Rule Mining to Cold-Start Recommendations. 133–136. 12 indexed citations
17.
Leung, Cane Wing-ki, Stephen Chan, & Fu-Lai Chung. (2007). Applying Cross-Level Association Rule Mining to Cold-Start Recommendations. 1 indexed citations
18.
Leung, Cane Wing-ki, Stephen Chan, & Fu-Lai Chung. (2006). A collaborative filtering framework based on fuzzy association rules and multiple-level similarity. Knowledge and Information Systems. 10(3). 357–381. 81 indexed citations
19.
Chan, Stephen, et al.. (2005). Supporting real‐time collaborative learning with web‐based groupware. Innovations in Education and Teaching International. 42(4). 349–362. 1 indexed citations
20.
Leung, Cane Wing-ki, Stephen Chan, & Fu-Lai Chung. (2004). Towards Collaborative Travel Recommender Systems. Journal of the Association for Information Systems. 445–451. 4 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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