Ming Ki Chong

28 total papers · 726 total citations
18 papers, 540 citations indexed

About

Ming Ki Chong is a scholar working on Human-Computer Interaction, Information Systems and Cognitive Neuroscience. According to data from OpenAlex, Ming Ki Chong has authored 18 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Human-Computer Interaction, 7 papers in Information Systems and 6 papers in Cognitive Neuroscience. Recurrent topics in Ming Ki Chong's work include Interactive and Immersive Displays (16 papers), User Authentication and Security Systems (7 papers) and Tactile and Sensory Interactions (6 papers). Ming Ki Chong is often cited by papers focused on Interactive and Immersive Displays (16 papers), User Authentication and Security Systems (7 papers) and Tactile and Sensory Interactions (6 papers). Ming Ki Chong collaborates with scholars based in United Kingdom, Germany and Denmark. Ming Ki Chong's co-authors include Hans Gellersen, Jason Alexander, Ken Pfeuffer, Yanxia Zhang, Andreas Bulling, Dominik Schmidt, Jörg Müller, René Mayrhofer, Gary Marsden and Tero Jokela and has published in prestigious journals such as ACM Computing Surveys, Personal and Ubiquitous Computing and interactions.

In The Last Decade

Ming Ki Chong

18 papers receiving 534 citations

Author Peers

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

Author						Papers	Cites
Ming Ki Chong	450	221	137	97	50	18	540
T. V. Raman	190 0.4×	156 0.7×	83 0.6×	139 1.4×	48 1.0×	29	518
Thorsten Karrer	277 0.6×	233 1.1×	200 1.5×	70 0.7×	26 0.5×	29	520
Gábor Sörös	281 0.6×	146 0.7×	270 2.0×	62 0.6×	29 0.6×	45	504
Yang Li	187 0.4×	58 0.3×	155 1.1×	66 0.7×	24 0.5×	14	551
Arthur I. Karshmer	181 0.4×	157 0.7×	145 1.1×	62 0.6×	71 1.4×	47	503
Ross Bencina	406 0.9×	221 1.0×	359 2.6×	37 0.4×	16 0.3×	9	613
Bodo Urban	197 0.4×	153 0.7×	151 1.1×	25 0.3×	41 0.8×	47	578
Tao Ni	383 0.9×	198 0.9×	260 1.9×	34 0.4×	35 0.7×	26	599
Jeff Pierce	299 0.7×	169 0.8×	170 1.2×	24 0.2×	37 0.7×	6	451
Jef Raskin	236 0.5×	81 0.4×	96 0.7×	104 1.1×	24 0.5×	20	514

Countries citing papers authored by Ming Ki Chong

Since Specialization

Citations

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

Fields of papers citing papers by Ming Ki Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Ki Chong. 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 Ming Ki Chong. The network helps show where Ming Ki Chong may publish in the future.

Co-authorship network of co-authors of Ming Ki Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ki Chong. A scholar is included among the top collaborators of Ming Ki Chong 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 Ming Ki Chong. Ming Ki Chong 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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