Lai-Kuan Wong

804 total citations · 1 hit paper
43 papers, 409 citations indexed

About

Lai-Kuan Wong is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Lai-Kuan Wong has authored 43 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 9 papers in Cognitive Neuroscience and 8 papers in Media Technology. Recurrent topics in Lai-Kuan Wong's work include Visual Attention and Saliency Detection (15 papers), Advanced Vision and Imaging (8 papers) and Image Enhancement Techniques (7 papers). Lai-Kuan Wong is often cited by papers focused on Visual Attention and Saliency Detection (15 papers), Advanced Vision and Imaging (8 papers) and Image Enhancement Techniques (7 papers). Lai-Kuan Wong collaborates with scholars based in Malaysia, Singapore and Taiwan. Lai-Kuan Wong's co-authors include Kok‐Lim Low, John See, Md Baharul Islam, Wen-Huang Cheng, Hongxia Xie, Yung‐Hui Li, Hong-Han Shuai, Kai‐Lung Hua, Yu Tsao and Wen-Huang Cheng and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition Letters and IEEE Transactions on Multimedia.

In The Last Decade

Lai-Kuan Wong

36 papers receiving 396 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

2024 59 citations Hongxia Xie, Lai-Kuan Wong et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lai-Kuan Wong Malaysia	9	302	95	54	44	19	43	409
Lingyu Liang China	12	489 1.6×	69 0.7×	121 2.2×	99 2.3×	11 0.6×	40	612
Alexandre R. J. François United States	12	381 1.3×	56 0.6×	24 0.4×	77 1.8×	15 0.8×	29	452
Songyuan Li China	9	288 1.0×	39 0.4×	36 0.7×	92 2.1×	5 0.3×	21	397
Thomas Bashford‐Rogers United Kingdom	11	206 0.7×	33 0.3×	34 0.6×	16 0.4×	62 3.3×	47	318
Wen-Huang Cheng Taiwan	14	298 1.0×	32 0.3×	22 0.4×	131 3.0×	10 0.5×	51	481
Jae‐Joon Han South Korea	13	336 1.1×	38 0.4×	41 0.8×	67 1.5×	7 0.4×	37	426
Richard Mann Canada	12	212 0.7×	40 0.4×	34 0.6×	108 2.5×	15 0.8×	30	379
Anshul Jain United States	11	105 0.3×	124 1.3×	16 0.3×	50 1.1×	6 0.3×	28	335
Aneeshan Sain United Kingdom	16	566 1.9×	43 0.5×	58 1.1×	181 4.1×	41 2.2×	38	688
Eun‐Seok Ryu South Korea	14	392 1.3×	40 0.4×	56 1.0×	15 0.3×	25 1.3×	76	518

Countries citing papers authored by Lai-Kuan Wong

Since Specialization

Citations

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

Fields of papers citing papers by Lai-Kuan Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai-Kuan 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 Lai-Kuan Wong. The network helps show where Lai-Kuan Wong may publish in the future.

Co-authorship network of co-authors of Lai-Kuan Wong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fauzi, Mohammad Faizal Ahmad, et al.. (2025). M3-Net++: A multi-scale, multi-level, multi-stream network for nuclei segmentation in breast cancer histopathology using hierarchical context extraction and hybrid loss optimization. Computers in Biology and Medicine. 196(Pt B). 110804–110804.

Wong, Lai-Kuan, et al.. (2024). Handling class imbalance in education using data-level and deep learning methods. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(1). 741–741. 4 indexed citations

Xie, Hongxia, et al.. (2024). Lightweight Deep Learning for Resource-Constrained Environments: A Survey. ACM Computing Surveys. 56(10). 1–42. 59 indexed citations breakdown →

Wong, Lai-Kuan, et al.. (2024). Improved Cassava Plant Disease Classification with Leaf Detection. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1–6.

See, John, et al.. (2024). Are You Paying Attention? Multimodal Linear Attention Transformers for Affect Prediction in Video Conversations. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 15–23.

Wang, Guangcheng, et al.. (2023). Vision-Based PM_2.5 Concentration Estimation With Natural Scene Statistical Analysis. IEEE Transactions on Artificial Intelligence. 5(6). 2805–2815. 2 indexed citations

Wong, Lai-Kuan, et al.. (2023). LAU-Net: A low light image enhancer with attention and resizing mechanisms. Signal Processing Image Communication. 115. 116971–116971. 5 indexed citations

Ong, S. H., et al.. (2023). Efficient anisotropic scaling and translation invariants of Tchebichef moments using image normalization. Pattern Recognition Letters. 169. 8–16.

Wong, Lai-Kuan, et al.. (2023). Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 2480–2484.

10.

Ullah, Arif, et al.. (2023). An Enhanced Compression Method for Medical Images Using SPIHT Encoder for Fog Computing. International Journal of Image and Graphics. 25(3). 7 indexed citations

11.

See, Mee‐Hoong, Li‐Ying Teoh, Lee Lee Lai, et al.. (2023). Classification and assessment techniques of breast ptosis: A systematic review. Journal of Plastic Reconstructive & Aesthetic Surgery. 83. 380–395. 5 indexed citations

12.

Junayed, Masum Shah, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, & Tarkan Aydın. (2022). HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5208–5217. 5 indexed citations

13.

Ting, Choo‐Yee, et al.. (2022). Geospatial Features Influencing the Formation of COVID-19 Clusters. Journal of System and Management Sciences. 3 indexed citations

14.

Wong, Lai-Kuan, et al.. (2022). DECOVID-CT: Lightweight 3D CNN for COVID-19 Infection Prediction. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 363–364. 1 indexed citations

15.

Hidayati, Shintami Chusnul, Cheng-Chun Hsu, John See, et al.. (2020). Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes. IEEE Transactions on Multimedia. 23. 365–377. 41 indexed citations

16.

Wong, Lai-Kuan, et al.. (2019). GANmera: Reproducing Aesthetically Pleasing Photographs Using Deep Adversarial Networks. 2000. 2179–2187. 5 indexed citations

17.

Wang, Lu, et al.. (2018). The design and empirical evaluations of 3D positioning techniques for pressure-based touch control on mobile devices. Personal and Ubiquitous Computing. 22(3). 525–533. 2 indexed citations

18.

Wang, Lu, et al.. (2016). Pressure-based touch positioning techniques for 3D objects. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 199–200. 4 indexed citations

19.

Hua, Kai‐Lung, et al.. (2015). Workshop I: International workshop on Learning Semantics for Multimedia Big Data (LSMBD). xxii–xxiii. 1 indexed citations

20.

Islam, Md Baharul, et al.. (2015). Stereoscopic image warping for enhancing composition aesthetics. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 19. 645–649. 11 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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