Kin‐Man Lam

11.6k total citations · 3 hit papers
375 papers, 8.0k citations indexed

About

Kin‐Man Lam is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Kin‐Man Lam has authored 375 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 287 papers in Computer Vision and Pattern Recognition, 70 papers in Media Technology and 39 papers in Computational Mechanics. Recurrent topics in Kin‐Man Lam's work include Face and Expression Recognition (72 papers), Advanced Image and Video Retrieval Techniques (70 papers) and Advanced Image Processing Techniques (57 papers). Kin‐Man Lam is often cited by papers focused on Face and Expression Recognition (72 papers), Advanced Image and Video Retrieval Techniques (70 papers) and Advanced Image Processing Techniques (57 papers). Kin‐Man Lam collaborates with scholars based in Hong Kong, China and United Kingdom. Kin‐Man Lam's co-authors include Hong Yan, Muwei Jian, R. M. C. So, Xudong Xie, Junyu Dong, Guoping Qiu, Wan-Chi Siu, Tianshan Liu, Kaihua Zhang and Cong Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kin‐Man Lam

361 papers receiving 7.6k citations

Hit 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.

A Level Set Approach to Image Segmentation With Intensity Inhomogeneity

2015 322 citations Kin‐Man Lam et al. profile →
Underwater Camera: Improving Visual Perception Via Adaptive Dark Pixel Prior and Color Correction

2023 127 citations Jingchun Zhou, Qiuping Jiang et al. International Journal of Computer Vision profile →
HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement

2024 84 citations Jingchun Zhou, Chongyi Li et al. International Journal of Computer Vision profile →

Peers

Countries citing papers authored by Kin‐Man Lam

Since Specialization

Citations

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

Fields of papers citing papers by Kin‐Man Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin‐Man Lam. 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 Kin‐Man Lam. The network helps show where Kin‐Man Lam may publish in the future.

Co-authorship network of co-authors of Kin‐Man Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Kin‐Man Lam. A scholar is included among the top collaborators of Kin‐Man Lam 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 Kin‐Man Lam. Kin‐Man Lam 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

#	Work	Indexed citations
1	Long Short-Term Fusion by Multi-Scale Distillation for Screen Content Video Quality Enhancement 2025 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Yui‐Lam Chan, (unknown), Sik‐Ho Tsang, Kin‐Man Lam, Bingo Wing‐Kuen Ling	1
2	Multi-Frame Spatiotemporal Feature and Hierarchical Learning Approach for No-Reference Screen Content Video Quality Assessment 2025 ·IEEE Transactions on Multimedia ·(unknown), Yui‐Lam Chan, Sik‐Ho Tsang, (unknown), Kin‐Man Lam	0
3	Spatiotemporal feature learning for no-reference gaming content video quality assessment 2024 ·Journal of Visual Communication and Image Representation ·(unknown), Yui‐Lam Chan, Sik‐Ho Tsang, (unknown), Kin‐Man Lam	1
4	Adaptive variational decomposition for water-related optical image enhancement 2024 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Jingchun Zhou, (unknown), Dehuan Zhang, (unknown), Kin‐Man Lam, Ferdous Sohel, Gemine Vivone	14
5	AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jingchun Zhou, (unknown), Kin‐Man Lam, Yudong Wang, Weishi Zhang, Chunle Guo, Chongyi Li	20
6	A comprehensive dataset for dynamic analysis of ocean front 2024 ·(unknown), (unknown), Xin Sun, Yakun Ju, Cong Zhang, Kin‐Man Lam	0
7	Deep multi-scale feature mixture model for image super-resolution with multiple-focal-length degradation 2024 ·Signal Processing Image Communication ·Jun Xiao, (unknown), Rui Zhao, Kin‐Man Lam, (unknown)	5
8	Spatio-temporal feature learning for enhancing video quality based on screen content characteristics 2024 ·Journal of Visual Communication and Image Representation ·(unknown), Yui‐Lam Chan, Sik‐Ho Tsang, (unknown), Kin‐Man Lam, Bingo Wing‐Kuen Ling	3
9	Contrastive decoupling global and local features for pavement crack detection 2024 ·Engineering Applications of Artificial Intelligence ·(unknown), Kin‐Man Lam	2
10	Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments 2024 ·(unknown), (unknown), Junyan Zhao, (unknown), (unknown), Kin‐Man Lam	2
11	Bi-Center Loss for Compound Facial Expression Recognition 2024 ·IEEE Signal Processing Letters ·(unknown), Kin‐Man Lam	5
12	TRCT-GAN: CT reconstruction from biplane X-rays using transformer and generative adversarial networks 2023 ·Digital Signal Processing ·Yufeng Wang, Zhan-Li Sun, Zhigang Zeng, Kin‐Man Lam	9
13	Underwater Camera: Improving Visual Perception Via Adaptive Dark Pixel Prior and Color Correction breakdown → 2023 ·International Journal of Computer Vision ·Jingchun Zhou, (unknown), Qiuping Jiang, Wenqi Ren, Kin‐Man Lam, Weishi Zhang	127
14	Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning 2023 ·Robotics and Computer-Integrated Manufacturing ·(unknown), Quan Liu, Duc Truong Pham, Jiwei Hu, Kin‐Man Lam, Yongjing Wang, Zude Zhou	12
15	Spectrum-irrelevant fine-grained representation for visible–infrared person re-identification 2023 ·Computer Vision and Image Understanding ·(unknown), Sanyuan Zhao, Kin‐Man Lam, Xin Gao, Jianbing Shen	8
16	Face hallucination based on cluster consistent dictionary learning 2021 ·IET Image Processing ·Minqi Li, Xiangjian He, Kin‐Man Lam, Kaibing Zhang, Junfeng Jing	1
17	Corn-Plant Counting Using Scare-Aware Feature and Channel Interdependence 2021 ·IEEE Geoscience and Remote Sensing Letters ·(unknown), Zhan-Li Sun, Zhigang Zeng, Kin‐Man Lam	7
18	See Clearly in the Distance: Representation Learning GAN for Low Resolution Object Recognition 2020 ·IEEE Access ·Yue Xi, Jiangbin Zheng, Wenjing Jia, Xiangjian He, Hanhui Li, (unknown), Kin‐Man Lam	8
19	Towards Accurate Pulmonary Nodule Detection by Representing Nodules as Points With High-Resolution Network 2020 ·IEEE Access ·(unknown), (unknown), Jiatai Lin, Yun Zhang, Kin‐Man Lam	7
20	An efficient method for occluded face recognition 2016 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·Wentao Liu, Xudong Xie, Kin‐Man Lam	1

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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