Kim–Hui Yap

2.6k total citations
138 papers, 1.6k citations indexed

About

Kim–Hui Yap is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Kim–Hui Yap has authored 138 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Computer Vision and Pattern Recognition, 33 papers in Media Technology and 19 papers in Artificial Intelligence. Recurrent topics in Kim–Hui Yap's work include Advanced Image and Video Retrieval Techniques (42 papers), Image and Signal Denoising Methods (27 papers) and Advanced Image Processing Techniques (27 papers). Kim–Hui Yap is often cited by papers focused on Advanced Image and Video Retrieval Techniques (42 papers), Image and Signal Denoising Methods (27 papers) and Advanced Image Processing Techniques (27 papers). Kim–Hui Yap collaborates with scholars based in Singapore, China and Hong Kong. Kim–Hui Yap's co-authors include Lap‐Pui Chau, Sharmili Roy, Kui Wu, Yu He, Tao Chen, Zhen Li, Li Chen, Ling Guan, Jiacheng Wei and Guosheng Lin and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Optics Letters.

In The Last Decade

Kim–Hui Yap

121 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim–Hui Yap Singapore	22	1.3k	329	186	174	140	138	1.6k
Bo Peng China	20	757 0.6×	203 0.6×	165 0.9×	83 0.5×	78 0.6×	90	1.0k
Renjie Liao Canada	20	1.6k 1.3×	451 1.4×	461 2.5×	64 0.4×	97 0.7×	46	2.2k
Yigang Cen China	18	734 0.6×	178 0.5×	255 1.4×	89 0.5×	210 1.5×	114	1.1k
Thomas H. Li China	15	957 0.8×	149 0.5×	395 2.1×	126 0.7×	121 0.9×	35	1.3k
Steve Maybank United Kingdom	18	1.2k 0.9×	102 0.3×	299 1.6×	96 0.6×	97 0.7×	31	1.4k
Simone Milani Italy	19	1.2k 0.9×	116 0.4×	101 0.5×	37 0.2×	92 0.7×	112	1.4k
Anhong Wang China	19	749 0.6×	182 0.6×	99 0.5×	111 0.6×	146 1.0×	170	1.2k
Marc Proesmans Belgium	14	756 0.6×	102 0.3×	269 1.4×	50 0.3×	77 0.6×	60	1.2k
Shuyuan Zhu China	19	1.1k 0.9×	180 0.5×	127 0.7×	74 0.4×	72 0.5×	124	1.3k
Jiangning Zhang China	19	632 0.5×	91 0.3×	391 2.1×	58 0.3×	83 0.6×	68	1.2k

Countries citing papers authored by Kim–Hui Yap

Since Specialization

Citations

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

Fields of papers citing papers by Kim–Hui Yap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim–Hui Yap. 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 Kim–Hui Yap. The network helps show where Kim–Hui Yap may publish in the future.

Co-authorship network of co-authors of Kim–Hui Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Kim–Hui Yap. A scholar is included among the top collaborators of Kim–Hui Yap 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 Kim–Hui Yap. Kim–Hui Yap 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

Yao, Jiarong, et al.. (2025). Incorporating vision-based artificial intelligence and large language model for smart traffic light control. Applied Soft Computing. 179. 113333–113333. 2 indexed citations

Wang, Ruoyu, et al.. (2025). MotionAnimate: Animate human images with pose motion for vivid and temporally consistent video generation. Information Fusion. 126. 103559–103559.

Cai, Chen, Zheng Wang, Jianjun Gao, et al.. (2024). Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting. 3921–3932.

Liu, Wenyang, Kejun Wu, Tianyi Liu, et al.. (2024). ByteNet: Rethinking Multimedia File Fragment Classification Through Visual Perspectives. IEEE Transactions on Multimedia. 27. 1305–1319. 4 indexed citations

Wang, Shaowei, Lingling Zhang, Tao Qin, et al.. (2024). CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering. 13969–13979. 2 indexed citations

Gao, Jianjun, et al.. (2024). Contextual Human Object Interaction Understanding from Pre-Trained Large Language Model. DR-NTU (Nanyang Technological University). 13436–13440. 2 indexed citations

Yap, Kim–Hui, et al.. (2024). Image compressive sensing reconstruction via nonlocal low-rank residual-based ADMM framework. Computer Vision and Image Understanding. 249. 104204–104204.

Cai, Chen, et al.. (2024). Temporal Sentence Grounding with Temporally Global Textual Knowledge. 1–6.

Zhao, Yanan, et al.. (2023). SSN: Stockwell Scattering Network for SAR Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 7 indexed citations

10.

Wang, Yi, et al.. (2023). Interactive Change-Aware Transformer Network for Remote Sensing Image Change Captioning. Remote Sensing. 15(23). 5611–5611. 16 indexed citations

11.

Zhang, Junhao, Kim–Hui Yap, Lap‐Pui Chau, & Ce Zhu. (2023). Nonlocal Low-Rank Residual Modeling for Image Compressive Sensing Reconstruction. 1055–1059. 1 indexed citations

12.

Cai, Chen, Kim–Hui Yap, & Suchen Wang. (2022). Attribute Conditioned Fashion Image Captioning. 2022 IEEE International Conference on Image Processing (ICIP). 1921–1925. 7 indexed citations

13.

Yap, Kim–Hui, et al.. (2018). Autoregressive Generative Adversarial Networks. International Conference on Learning Representations. 1 indexed citations

14.

Foo, Chuan-Sheng, et al.. (2018). The Unusual Effectiveness of Averaging in GAN Training. arXiv (Cornell University). 10 indexed citations

15.

Yap, Kim–Hui, et al.. (2018). QL-Net: Quantized-by-LookUp CNN. 413–418. 1 indexed citations

16.

Chau, Lap‐Pui, et al.. (2017). Depth video-based two-stream convolutional neural networks for driver fatigue detection. 155–158. 25 indexed citations

17.

Yap, Kim–Hui, et al.. (2015). Hybrid feature-based wallpaper visual search. 730–733. 3 indexed citations

18.

Yap, Kim–Hui, et al.. (2008). A new color image regularization scheme for blind image deconvolution. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1253–1256. 2 indexed citations

19.

He, Yu, et al.. (2007). A Nonlinear Least Square Technique for Simultaneous Image Registration and Super-Resolution. IEEE Transactions on Image Processing. 16(11). 2830–2841. 89 indexed citations

20.

Chen, Li & Kim–Hui Yap. (2005). A soft double regularization approach to parametric blind image deconvolution. IEEE Transactions on Image Processing. 14(5). 624–633. 34 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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