Chee Wee Leong

63 total papers · 1.1k total citations
46 papers, 678 citations indexed

About

Chee Wee Leong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Chee Wee Leong has authored 46 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Chee Wee Leong's work include Natural Language Processing Techniques (15 papers), Speech and dialogue systems (15 papers) and Language, Metaphor, and Cognition (8 papers). Chee Wee Leong is often cited by papers focused on Natural Language Processing Techniques (15 papers), Speech and dialogue systems (15 papers) and Language, Metaphor, and Cognition (8 papers). Chee Wee Leong collaborates with scholars based in United States, Japan and France. Chee Wee Leong's co-authors include Beata Beigman Klebanov, Rada Mihalcea, Gang Feng, Chongmin Lee, Michael Flor, Ekaterina Shutova, Lei Chen, Lei Chen, Su‐Youn Yoon and Blair Lehman and has published in prestigious journals such as Computers in Human Behavior, IEEE Access and American Journal of Distance Education.

In The Last Decade

Chee Wee Leong

44 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
Chee Wee Leong	410	265	126	114	57	46	678
Paul Piwek	530 1.3×	104 0.4×	82 0.7×	53 0.5×	16 0.3×	83	740
Erin Shaw	449 1.1×	113 0.4×	39 0.3×	138 1.2×	64 1.1×	35	774
Rieks op den Akker	381 0.9×	57 0.2×	68 0.5×	132 1.2×	102 1.8×	62	695
Laila Dybkjær	592 1.4×	81 0.3×	51 0.4×	135 1.2×	142 2.5×	68	746
Kim Binsted	190 0.5×	135 0.5×	123 1.0×	207 1.8×	101 1.8×	48	688
Catharine Oertel	322 0.8×	139 0.5×	95 0.8×	276 2.4×	125 2.2×	51	582
Harry Bratt	621 1.5×	115 0.4×	49 0.4×	42 0.4×	27 0.5×	41	762
Niels Ole Bernsen	462 1.1×	60 0.2×	61 0.5×	107 0.9×	168 2.9×	74	652
Joan-Isaac Biel	189 0.5×	160 0.6×	112 0.9×	137 1.2×	43 0.8×	19	591
Catherine Lai	366 0.9×	285 1.1×	49 0.4×	75 0.7×	20 0.4×	73	630

Countries citing papers authored by Chee Wee Leong

Since Specialization

Citations

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

Fields of papers citing papers by Chee Wee Leong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Wee Leong. 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 Chee Wee Leong. The network helps show where Chee Wee Leong may publish in the future.

Co-authorship network of co-authors of Chee Wee Leong

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Wee Leong. A scholar is included among the top collaborators of Chee Wee Leong 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 Chee Wee Leong. Chee Wee Leong 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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