Lik Mui
- Information Systems top 2%
- Recommender Systems and Techniques 2
-
- Evolutionary Game Theory and Cooperation 3
- Artificial Intelligence top 5%
- Neural Networks and Applications 1
-
- Peer-to-Peer Network Technologies 1
-
- Game Theory and Applications 2
-
- Image and Signal Denoising Methods 1
-
- Experimental Behavioral Economics Studies 1
-
- Law, Economics, and Judicial Systems 1
- Journals
- Journal of Theoretical Biology (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United States
In The Last Decade
Lik Mui
9 papers receiving 802 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Information Systems 335
- Sociology and Political Science 600
- Artificial Intelligence 421
- Computer Networks and Communications 274
- Management Science and Operations Research 101
Countries citing papers authored by Lik Mui
This map shows the geographic impact of Lik Mui'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 Lik Mui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lik Mui more than expected).
Fields of papers citing papers by Lik Mui
This network shows the impact of papers produced by Lik Mui. 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 Lik Mui. The network helps show where Lik Mui may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Lik Mui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 9 | |
| 2 | 2003 | 78 | |
| 3 | A computational model of trust and reputationbreakdown → | 2003 | 535 |
| 4 | 2002 | 154 | |
| 5 | 2002 | 3 | |
| 6 | Ratings in Distributed Systems: A Bayesian Approach | 2002 | 67 |
| 7 | 2001 | 12 | |
| 8 | An information theoretic approach to ontology-based interest matching | 2001 | 8 |
| 9 | 1994 | 11 |
About Lik Mui
Lik Mui is a scholar working on Computer Science Applications, Management Science and Operations Research, Strategy and Management, Neurology and Safety Research, having authored 9 papers that have together received 877 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (3 papers), Game Theory and Applications (2 papers), Recommender Systems and Techniques (2 papers), Image and Signal Denoising Methods (1 paper), Peer-to-Peer Network Technologies (1 paper), Neural Networks and Applications (1 paper), Experimental Behavioral Economics Studies (1 paper) and Law, Economics, and Judicial Systems (1 paper). The work is most often cited by research in Information Systems (335 citations), Sociology and Political Science (600 citations), Artificial Intelligence (421 citations), Computer Networks and Communications (274 citations) and Management Science and Operations Research (101 citations). Lik Mui has collaborated with scholars based in United States. Frequent co-authors include Mojdeh Mohtashemi, Peter Szolovits, Arun Agarwal, Amar Gupta, Sameer Verma and Patrick S. P. Wang. Their work appears in journals such as Journal of Theoretical Biology, International Journal of Pattern Recognition and Artificial Intelligence and DSpace@MIT (Massachusetts Institute of Technology).
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.