Chee Kit Wong

443 total citations
12 papers, 279 citations indexed

About

Chee Kit Wong is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Chee Kit Wong has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Automotive Engineering. Recurrent topics in Chee Kit Wong's work include Robotics and Sensor-Based Localization (5 papers), Spatial Cognition and Navigation (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Chee Kit Wong is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Spatial Cognition and Navigation (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Chee Kit Wong collaborates with scholars based in New Zealand and United States. Chee Kit Wong's co-authors include Tony F. Chan, Peter Blomgren, Pep Mulet, Jochen Schmidt, Marlon M. Reis, Pey Lian Lim, Talia M. Hicks, Mustafa M. Farouk, Wai K. Yeap and C. Craigie and has published in prestigious journals such as Meat Science, Linear Algebra and its Applications and International Journal of Computer Applications in Technology.

In The Last Decade

Chee Kit Wong

12 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chee Kit Wong New Zealand	6	131	58	50	49	41	12	279
Jian‐ao Lian United States	7	306 2.3×	79 1.4×	106 2.1×	16 0.3×	18 0.4×	29	420
Yuanyuan Huang China	10	100 0.8×	41 0.7×	26 0.5×	23 0.5×	38 0.9×	42	305
François Malgouyres France	11	406 3.1×	171 2.9×	117 2.3×	30 0.6×	36 0.9×	34	472
Hyenkyun Woo South Korea	9	244 1.9×	164 2.8×	79 1.6×	40 0.8×	45 1.1×	17	361
Agnieszka Lisowska Poland	8	127 1.0×	26 0.4×	41 0.8×	43 0.9×	19 0.5×	25	300
Dmitry Vorotnikov Portugal	12	102 0.8×	57 1.0×	40 0.8×	52 1.1×	14 0.3×	32	390
L. K. Balyan India	12	255 1.9×	25 0.4×	126 2.5×	8 0.2×	34 0.8×	47	394
Binbin Hao China	10	66 0.5×	52 0.9×	30 0.6×	6 0.1×	54 1.3×	36	327
Thomas Yu United States	12	102 0.8×	281 4.8×	7 0.1×	9 0.2×	9 0.2×	33	376
Santhosh George India	13	51 0.4×	52 0.9×	15 0.3×	242 4.9×	32 0.8×	184	636

Countries citing papers authored by Chee Kit Wong

Since Specialization

Citations

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

Fields of papers citing papers by Chee Kit Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chee Kit Wong

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

All Works

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12 of 12 papers shown

1.

Dixit, Yash, Talia M. Hicks, Pey Lian Lim, et al.. (2020). Non-invasive spectroscopic and imaging systems for prediction of beef quality in a meat processing pilot plant. Meat Science. 181. 108410–108410. 29 indexed citations

2.

Wong, Chee Kit, et al.. (2014). Vision system for the automation of ovine carcass processing. 2 indexed citations

3.

Wong, Chee Kit, et al.. (2014). Vision-based approach for the localisation and manipulation of ground-based crop. International Journal of Computer Applications in Technology. 50(1/2). 61–61. 2 indexed citations

4.

Wong, Chee Kit, et al.. (2012). Processing of point cloud data from ToF camera for the localisation of ground-based crop. 184–189. 1 indexed citations

5.

Wong, Chee Kit, Kathleen Jordan, & Marcus King. (2011). Robotic arm skate for stroke rehabilitation. PubMed. 2011. 1–6. 9 indexed citations

6.

Wong, Chee Kit, et al.. (2009). Vision Strategies for Robotic Manipulation of Natural Objects. 2 indexed citations

7.

Wong, Chee Kit, Jochen Schmidt, & Wai K. Yeap. (2007). Using a mobile robot for cognitive mapping. AUT Scholarly Commons. 2243–2248. 7 indexed citations

8.

Yeap, Wai K., Chee Kit Wong, & Jochen Schmidt. (2006). Initial experiments with a mobile robot on cognitive mapping. 221–221. 1 indexed citations

9.

Schmidt, Jochen, et al.. (2006). A Split &amp; Merge Approach to Metric-Topological Map-Building. AUT Scholarly Commons. 1069–1072. 6 indexed citations

10.

Wong, Chee Kit, et al.. (2005). A Mobile Robot that Maps Naively But Plans Intelligently. 562–567. 3 indexed citations

11.

Blomgren, Peter, Tony F. Chan, Pep Mulet, & Chee Kit Wong. (2002). Total variation image restoration: numerical methods and extensions. 3. 384–387. 141 indexed citations

12.

Chan, Tony F. & Chee Kit Wong. (2000). Convergence of the alternating minimization algorithm for blind deconvolution. Linear Algebra and its Applications. 316(1-3). 259–285. 76 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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