S. K. M. Wong

70 papers and 2.1k indexed citations i.

About

S. K. M. Wong is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, S. K. M. Wong has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 23 papers in Signal Processing and 18 papers in Management Science and Operations Research. Recurrent topics in S. K. M. Wong’s work include Bayesian Modeling and Causal Inference (25 papers), Data Management and Algorithms (22 papers) and Information Retrieval and Search Behavior (17 papers). S. K. M. Wong is often cited by papers focused on Bayesian Modeling and Causal Inference (25 papers), Data Management and Algorithms (22 papers) and Information Retrieval and Search Behavior (17 papers). S. K. M. Wong collaborates with scholars based in Canada, United States and Germany. S. K. M. Wong's co-authors include Yiyu Yao, Wojciech Ziarko, Vijay V. Raghavan, Zdzisław Pawlak, Przemysław Prusinkiewicz, Cory J. Butz, T. Lin, P. Bollmann, Yang Xiang and Pawan Lingras and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Fuzzy Sets and Systems and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of S. K. M. Wong i

Fields of papers citing papers by S. K. M. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. K. M. Wong. 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 S. K. M. Wong. The network helps show where S. K. M. Wong may publish in the future.

Countries citing papers authored by S. K. M. Wong

Since Specialization
Citations

This map shows the geographic impact of S. K. M. Wong'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 S. K. M. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. K. M. Wong more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025