Grace Hui Yang

44 papers and 253 indexed citations i.

About

Grace Hui Yang is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Grace Hui Yang has authored 44 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 23 papers in Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Grace Hui Yang’s work include Topic Modeling (20 papers), Information Retrieval and Search Behavior (10 papers) and Privacy-Preserving Technologies in Data (7 papers). Grace Hui Yang is often cited by papers focused on Topic Modeling (20 papers), Information Retrieval and Search Behavior (10 papers) and Privacy-Preserving Technologies in Data (7 papers). Grace Hui Yang collaborates with scholars based in United States, China and Singapore. Grace Hui Yang's co-authors include Sicong Zhang, Tat‐Seng Chua, Shuguang Wang, Jun Wang, Lisa Singh, Lizi Liao, Zhiwen Tang, Ian Soboroff, Krysta M. Svore and Anton Mityagin and has published in prestigious journals such as Frontiers in Psychology, Journal of Burn Care & Research and Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Grace Hui Yang i

Fields of papers citing papers by Grace Hui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace Hui Yang. 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 Grace Hui Yang. The network helps show where Grace Hui Yang may publish in the future.

Countries citing papers authored by Grace Hui Yang

Since Specialization
Citations

This map shows the geographic impact of Grace Hui Yang'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 Grace Hui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Hui Yang 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.

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2025