Chun-Kit Yeung

10 total papers · 407 total citations
4 papers, 166 citations indexed

About

Chun-Kit Yeung is a scholar working on Artificial Intelligence, Social Psychology and Demography. According to data from OpenAlex, Chun-Kit Yeung has authored 4 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Social Psychology and 1 paper in Demography. Recurrent topics in Chun-Kit Yeung's work include Intelligent Tutoring Systems and Adaptive Learning (2 papers), AI in Service Interactions (1 paper) and Social Robot Interaction and HRI (1 paper). Chun-Kit Yeung is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (2 papers), AI in Service Interactions (1 paper) and Social Robot Interaction and HRI (1 paper). Chun-Kit Yeung collaborates with scholars based in Brazil, Bangladesh and Hong Kong. Chun-Kit Yeung's co-authors include Dit‐Yan Yeung, Herbert Ho‐Ching Iu, F.H.F. Leung, Hak‐Keung Lam and Linda Yin King Lee and has published in prestigious journals such as BMC Geriatrics, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Educational Data Mining.

In The Last Decade

Chun-Kit Yeung

3 papers receiving 162 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chun-Kit Yeung	153	106	34	21	11	4	166
Sein Minn	141 0.9×	123 1.2×	37 1.1×	37 1.8×	5 0.5×	5	196
Jill-Jênn Vie	215 1.4×	150 1.4×	49 1.4×	34 1.6×	8 0.7×	11	257
Yining Mao	100 0.7×	34 0.3×	8 0.2×	13 0.6×	17 1.5×	4	202
Florian Laws	246 1.6×	36 0.3×	6 0.2×	16 0.8×	11 1.0×	9	276
Yufei Xue	118 0.8×	110 1.0×	8 0.2×	97 4.6×	13 1.2×	5	243
Dimitrios Alikaniotis	192 1.3×	14 0.1×	16 0.5×	48 2.3×	23 2.1×	4	241
Galina Deeva	86 0.6×	116 1.1×	55 1.6×	46 2.2×	8 0.7×	8	226
Leonard Tang	106 0.7×	19 0.2×	6 0.2×	15 0.7×	36 3.3×	5	151
Asmaa Elbadrawy	142 0.9×	199 1.9×	12 0.4×	126 6.0×	18 1.6×	8	274
Andrew Mabbott	50 0.3×	65 0.6×	80 2.4×	13 0.6×	4 0.4×	4	115

Countries citing papers authored by Chun-Kit Yeung

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Kit Yeung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Kit Yeung. 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 Chun-Kit Yeung. The network helps show where Chun-Kit Yeung may publish in the future.

Co-authorship network of co-authors of Chun-Kit Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Kit Yeung. A scholar is included among the top collaborators of Chun-Kit Yeung 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 Chun-Kit Yeung. Chun-Kit Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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