Sam Kwong

34.8k total citations · 11 hit papers
671 papers, 24.5k citations indexed

About

Sam Kwong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sam Kwong has authored 671 papers receiving a total of 24.5k indexed citations (citations by other indexed papers that have themselves been cited), including 405 papers in Computer Vision and Pattern Recognition, 224 papers in Artificial Intelligence and 189 papers in Signal Processing. Recurrent topics in Sam Kwong's work include Video Coding and Compression Technologies (138 papers), Image and Video Quality Assessment (130 papers) and Advanced Image Processing Techniques (113 papers). Sam Kwong is often cited by papers focused on Video Coding and Compression Technologies (138 papers), Image and Video Quality Assessment (130 papers) and Advanced Image Processing Techniques (113 papers). Sam Kwong collaborates with scholars based in Hong Kong, China and United States. Sam Kwong's co-authors include K.F. Man, K.S. Tang, Guopu Zhu, Ke Li, Qingfu Zhang, Junhui Hou, Yun Zhang, Hanli Wang, Jun Zhang and Runmin Cong and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and JNCI Journal of the National Cancer Institute.

In The Last Decade

Sam Kwong

629 papers receiving 23.7k citations

Hit Papers

Zero-Reference ... 1996 2026 2006 2016 2020 2010 2014 1996 1996 400 800 1.2k
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.

  1. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
    2020 1.2k citations Chongyi Li, Sam Kwong et al. profile →
  2. Gbest-guided artificial bee colony algorithm for numerical function optimization
    2010 947 citations Guopu Zhu, Sam Kwong profile →
  3. An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
    2014 917 citations Sam Kwong et al. profile →
  4. Genetic algorithms: concepts and applications [in engineering design]
    1996 822 citations Sam Kwong et al. profile →
  5. Genetic algorithms and their applications
    1996 794 citations Sam Kwong et al. profile →
  6. Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement
    2022 498 citations Sam Kwong, Chongyi Li et al. IEEE Transactions on Image Processing profile →
  7. Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition
    2013 293 citations Sam Kwong et al. profile →
  8. Stable Matching-Based Selection in Evolutionary Multiobjective Optimization
    2014 273 citations Sam Kwong et al. profile →
  9. Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding
    2015 272 citations Yun Zhang, Sam Kwong et al. profile →
  10. Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
    2020 231 citations Runmin Cong, Chongyi Li et al. IEEE Transactions on Image Processing profile →
  11. PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators
    2023 162 citations Runmin Cong, Chongyi Li et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Kwong Hong Kong 73 11.0k 8.5k 4.3k 3.7k 2.4k 671 24.5k
Xindong Wu China 67 9.5k 0.9× 14.2k 1.7× 2.3k 0.5× 2.8k 0.8× 1.5k 0.6× 655 28.3k
Qinghua Hu China 68 9.3k 0.8× 8.7k 1.0× 6.2k 1.4× 1.1k 0.3× 2.1k 0.9× 431 23.1k
Alexander J. Smola United States 42 8.8k 0.8× 11.8k 1.4× 1.2k 0.3× 2.6k 0.7× 1.6k 0.7× 100 25.2k
Christopher J. C. Burges United States 27 7.4k 0.7× 9.5k 1.1× 1.1k 0.3× 2.7k 0.7× 1.4k 0.6× 43 23.5k
Sankar K. Pal India 58 5.9k 0.5× 6.9k 0.8× 3.3k 0.8× 1.1k 0.3× 2.2k 0.9× 332 16.5k
Ajith Abraham United States 77 3.5k 0.3× 11.3k 1.3× 3.4k 0.8× 2.0k 0.5× 816 0.3× 947 25.7k
Josef Kittler United Kingdom 65 17.9k 1.6× 7.6k 0.9× 781 0.2× 4.9k 1.3× 4.7k 2.0× 644 29.2k
Jieping Ye United States 87 8.7k 0.8× 7.9k 0.9× 534 0.1× 2.3k 0.6× 1.6k 0.7× 439 25.3k
Alex Graves United States 26 7.8k 0.7× 18.2k 2.1× 1.5k 0.3× 5.1k 1.4× 717 0.3× 40 36.5k
Aboul Ella Hassanien Egypt 69 3.8k 0.3× 8.0k 0.9× 2.2k 0.5× 967 0.3× 716 0.3× 669 19.5k

Countries citing papers authored by Sam Kwong

Since Specialization
Citations

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

Fields of papers citing papers by Sam Kwong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Kwong. 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 Sam Kwong. The network helps show where Sam Kwong may publish in the future.

Co-authorship network of co-authors of Sam Kwong

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

All Works

20 of 20 papers shown
1.
Tian, Yu, et al.. (2025). Seeking the optimal accuracy-rate equilibrium in face recognition. Neurocomputing. 624. 129423–129423. 1 indexed citations
2.
Liao, Xingran, Xuekai Wei, Mingliang Zhou, Hau−San Wong, & Sam Kwong. (2025). Image Quality Assessment: Exploring Joint Degradation Effect of Deep Network Features via Kernel Representation Similarity Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2799–2815. 8 indexed citations
3.
Zhou, Mingliang, Jielu Yan, Xuekai Wei, et al.. (2025). No-Reference Image Quality Assessment: Exploring Intrinsic Distortion Characteristics via Generative Noise Estimation With Mamba. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12692–12706. 2 indexed citations
4.
Kwong, Sam, et al.. (2025). Uncertainty modeling for inductive knowledge graph embedding. Neural Networks. 184. 107103–107103.
5.
Ji, Jing–Yu, et al.. (2025). Region Division and Merging-Based Multiobjective Optimization for Multimodal Problems. IEEE Transactions on Consumer Electronics. 71(3). 7651–7661.
6.
Chen, Long, Junyu Dong, Qi Xu, et al.. (2025). Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future. ACM Computing Surveys. 58(3). 1–34. 1 indexed citations
7.
Fang, Zhengru, et al.. (2025). AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging. IEEE Transactions on Mobile Computing. 24(10). 9791–9805. 5 indexed citations
8.
Liu, Chunyu, et al.. (2024). Exploring trajectory embedding via spatial-temporal propagation for dynamic region representations. Information Sciences. 668. 120516–120516. 2 indexed citations
9.
Chen, Baoliang, et al.. (2024). Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment. IEEE Transactions on Image Processing. 33. 3227–3241. 3 indexed citations
10.
Ni, Zhangkai, et al.. (2023). CSformer: Bridging Convolution and Transformer for Compressive Sensing. IEEE Transactions on Image Processing. 32. 2827–2842. 59 indexed citations
11.
Ni, Zhangkai, et al.. (2023). Glow in the Dark: Low-Light Image Enhancement With External Memory. IEEE Transactions on Multimedia. 26. 2148–2163. 23 indexed citations
12.
Wang, Shiqi, et al.. (2023). Learning From Coding Features: High Efficiency Rate Control for AOMedia Video 1. IEEE Multimedia. 30(4). 16–25. 1 indexed citations
13.
Liu, Yutao, Ke Gu, Shiqi Wang, et al.. (2023). UIQI: A Comprehensive Quality Evaluation Index for Underwater Images. IEEE Transactions on Multimedia. 26. 2560–2573. 38 indexed citations
14.
Ni, Zhangkai, et al.. (2023). High Dynamic Range Image Quality Assessment Based on Frequency Disparity. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 4435–4440. 13 indexed citations
15.
Cong, Runmin, Qi Qin, Chen Zhang, et al.. (2022). A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels. IEEE Transactions on Circuits and Systems for Video Technology. 33(2). 534–548. 56 indexed citations
16.
Pan, Zhaoqing, Hao Zhang, Jianjun Lei, et al.. (2022). DACNN: Blind Image Quality Assessment via a Distortion-Aware Convolutional Neural Network. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 7518–7531. 57 indexed citations
17.
Pan, Zhaoqing, Xiaokai Yi, Yun Zhang, Byeungwoo Jeon, & Sam Kwong. (2020). Efficient In-Loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC. IEEE Transactions on Image Processing. 29. 5352–5366. 69 indexed citations
18.
Wong, Ka‐Chun, Junyi Chen, Jiao Zhang, et al.. (2019). Early Cancer Detection from Multianalyte Blood Test Results. iScience. 15. 332–341. 22 indexed citations
19.
Zhang, Jiao, Sam Kwong, Guangming Liu, Qiuzhen Lin, & Ka‐Chun Wong. (2018). PathEmb: Random Walk Based Document Embedding for Global Pathway Similarity Search. IEEE Journal of Biomedical and Health Informatics. 23(3). 1329–1335. 7 indexed citations
20.
Liu, Lihua, Anne‐Michelle Noone, Scarlett Lin Gomez, et al.. (2013). Cancer Incidence Trends Among Native Hawaiians and Other Pacific Islanders in the United States, 1990-2008. JNCI Journal of the National Cancer Institute. 105(15). 1086–1095. 35 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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