Chee Wee Leong

1.1k total citations
46 papers, 683 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 683 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 Speech and dialogue systems (15 papers), Natural Language Processing Techniques (15 papers) and Language, Metaphor, and Cognition (8 papers). Chee Wee Leong is often cited by papers focused on Speech and dialogue systems (15 papers), Natural Language Processing Techniques (15 papers) and Language, Metaphor, and Cognition (8 papers). Chee Wee Leong collaborates with scholars based in United States, Japan and Netherlands. 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 634 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chee Wee Leong United States	16	413	270	126	114	57	46	683
Erin Shaw United States	13	451 1.1×	114 0.4×	39 0.3×	139 1.2×	66 1.2×	35	779
Noah Coccaro United States	11	1.1k 2.8×	145 0.5×	51 0.4×	60 0.5×	22 0.4×	14	1.3k
Samira Shaikh United States	14	318 0.8×	95 0.4×	42 0.3×	58 0.5×	23 0.4×	54	492
Lonneke van der Plas Malta	11	992 2.4×	100 0.4×	93 0.7×	63 0.6×	44 0.8×	45	1.2k
Joan-Isaac Biel Switzerland	13	188 0.5×	159 0.6×	112 0.9×	136 1.2×	43 0.8×	19	593
Catherine Lai United Kingdom	14	367 0.9×	290 1.1×	49 0.4×	76 0.7×	20 0.4×	73	635
Klaus Ries United States	8	902 2.2×	122 0.5×	47 0.4×	59 0.5×	23 0.4×	20	1.0k
Costanza Navarretta Denmark	10	226 0.5×	216 0.8×	46 0.4×	92 0.8×	82 1.4×	66	470
Carol Van Ess-Dykema United States	8	969 2.3×	129 0.5×	36 0.3×	60 0.5×	25 0.4×	14	1.1k
Rafał Rzepka Japan	17	550 1.3×	159 0.6×	34 0.3×	238 2.1×	93 1.6×	126	739

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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20 of 20 papers shown

Leong, Chee Wee, et al.. (2024). Combining Generative and Discriminative AI for High-Stakes Interview Practice. 94–96. 1 indexed citations

Sakti, Sakriani, et al.. (2024). MAG-BERT-ARL for Fair Automated Video Interview Assessment. IEEE Access. 12. 145188–145205.

Leong, Chee Wee, et al.. (2020). Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task. 235–243. 20 indexed citations

Leong, Chee Wee, et al.. (2020). A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task. 18–29. 45 indexed citations

Leong, Chee Wee, et al.. (2019). Are Humans Biased in Assessment of Video Interviews?. 1–5. 2 indexed citations

Chen, Lei, Klaus Zechner, Su‐Youn Yoon, et al.. (2018). Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10.. ETS Research Report Series. 1 indexed citations

Chen, Lei, Klaus Zechner, Su‐Youn Yoon, et al.. (2018). Automated Scoring of Nonnative Speech Using the SpeechRater^SMv. 5.0 Engine. ETS Research Report Series. 2018(1). 1–31. 40 indexed citations

Chen, Lei, et al.. (2017). Can a machine pass a situational judgment test measuring personality perception?. 7–11. 1 indexed citations

Chen, Lei, Gang Feng, Chee Wee Leong, et al.. (2016). Automated scoring of interview videos using Doc2Vec multimodal feature extraction paradigm. 161–168. 33 indexed citations

10.

Chen, Lei, et al.. (2016). Designing An Automated Assessment of Public Speaking Skills Using Multimodal Cues. Journal of Learning Analytics. 3(2). 261–281. 8 indexed citations

11.

Zechner, Klaus, Lei Chen, Larry Davis, et al.. (2015). Automated Scoring of Speaking Tasks in the Test of English-for-Teaching ("TEFT"™). Research Report. ETS RR-15-31.. ETS Research Report Series. 3 indexed citations

12.

Ramanarayanan, Vikram, Lei Chen, Chee Wee Leong, Gang Feng, & David Suendermann‐Oeft. (2015). An analysis of time-aggregated and time-series features for scoring different aspects of multimodal presentation data. 4 indexed citations

13.

Leong, Chee Wee, Lei Chen, Gang Feng, Chongmin Lee, & Matthew Mulholland. (2015). Utilizing Depth Sensors for Analyzing Multimodal Presentations. 547–556. 11 indexed citations

14.

Chen, Lei, et al.. (2014). Towards Automated Assessment of Public Speaking Skills Using Multimodal Cues. 200–203. 70 indexed citations

15.

Zechner, Klaus, Keelan Evanini, Su‐Youn Yoon, et al.. (2014). Automated scoring of speaking items in an assessment for teachers of English as a Foreign Language. 134–142. 6 indexed citations

16.

Leong, Chee Wee & Rada Mihalcea. (2011). Measuring the semantic relatedness between words and images. 14(2). 185–194. 10 indexed citations

17.

Ruiz, Miguel E., Chee Wee Leong, & Samer Hassan. (2011). UNT at ImageCLEF 2011: Relevance Models and Salient Semantic Analysis for Image Retrieval. 2 indexed citations

18.

Leong, Chee Wee & Rada Mihalcea. (2011). Going Beyond Text: A Hybrid Image-Text Approach for Measuring Word Relatedness. 1403–1407. 26 indexed citations

19.

Leong, Chee Wee, Rada Mihalcea, & Samer Hassan. (2010). Text Mining for Automatic Image Tagging. University of North Texas Digital Library (University of North Texas). 647–655. 24 indexed citations

20.

Mihalcea, Rada & Chee Wee Leong. (2008). Toward communicating simple sentences using pictorial representations. Machine Translation. 22(3). 153–173. 43 indexed citations

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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