Kam-Yiu Lam

2.0k total citations
147 papers, 1.2k citations indexed

About

Kam-Yiu Lam is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kam-Yiu Lam has authored 147 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Networks and Communications, 59 papers in Hardware and Architecture and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kam-Yiu Lam's work include Distributed systems and fault tolerance (75 papers), Real-Time Systems Scheduling (52 papers) and Distributed and Parallel Computing Systems (22 papers). Kam-Yiu Lam is often cited by papers focused on Distributed systems and fault tolerance (75 papers), Real-Time Systems Scheduling (52 papers) and Distributed and Parallel Computing Systems (22 papers). Kam-Yiu Lam collaborates with scholars based in Hong Kong, United States and China. Kam-Yiu Lam's co-authors include Song Han, Edward Chan, Ming Xiong, Tei‐Wei Kuo, Victor C. S. Lee, Qingchun Chen, Ben Kao, Joseph Kee‐Yin Ng, Deji Chen and Reynold Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Kam-Yiu Lam

140 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kam-Yiu Lam Hong Kong 20 924 420 228 185 145 147 1.2k
Kyoung‐Don Kang United States 17 837 0.9× 326 0.8× 255 1.1× 110 0.6× 66 0.5× 73 1.1k
Tae‐Sun Chung South Korea 16 1.1k 1.2× 398 0.9× 67 0.3× 107 0.6× 172 1.2× 134 1.4k
Ajay D. Kshemkalyani United States 20 1.7k 1.8× 332 0.8× 294 1.3× 168 0.9× 234 1.6× 109 1.8k
Chi‐Sheng Shih Taiwan 19 678 0.7× 273 0.7× 284 1.2× 258 1.4× 50 0.3× 146 1.3k
Ugo Buy United States 15 737 0.8× 195 0.5× 175 0.8× 85 0.5× 358 2.5× 53 1.3k
Wei Shu United States 21 1.1k 1.2× 384 0.9× 440 1.9× 69 0.4× 36 0.2× 106 1.3k
Michael Möck Germany 14 347 0.4× 122 0.3× 139 0.6× 144 0.8× 45 0.3× 52 642
Alfons Crespo Spain 21 781 0.8× 1.3k 3.0× 134 0.6× 116 0.6× 328 2.3× 178 1.7k
David Powell France 21 921 1.0× 592 1.4× 567 2.5× 53 0.3× 144 1.0× 71 1.7k
Mauro Marinoni Italy 16 486 0.5× 596 1.4× 200 0.9× 166 0.9× 85 0.6× 76 1.1k

Countries citing papers authored by Kam-Yiu Lam

Since Specialization
Citations

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

Fields of papers citing papers by Kam-Yiu Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam-Yiu 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 Kam-Yiu Lam. The network helps show where Kam-Yiu Lam may publish in the future.

Co-authorship network of co-authors of Kam-Yiu Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Kam-Yiu Lam. A scholar is included among the top collaborators of Kam-Yiu 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 Kam-Yiu Lam. Kam-Yiu Lam 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.
Lam, Kam-Yiu, et al.. (2025). Pervasive Indoor User Identification Leveraging Mobile Single-Station Localization. IEEE Internet of Things Journal. 12(11). 15224–15237. 1 indexed citations
2.
Tang, Zhi‐Ri, Kam-Yiu Lam, Chi-Yin Chow, et al.. (2023). Weakly supervised real-time instance segmentation for ultrasound images of median nerves. Computers in Biology and Medicine. 162. 107057–107057. 6 indexed citations
3.
Ji, Meng, Harrison Ng Chok, Rongying Li, et al.. (2022). COVID-19–Related Health Inequalities Induced by the Use of Social Media: Systematic Review. SHILAP Revista de lepidopterología. 2(2). e38453–e38453. 3 indexed citations
4.
He, Zhixiang, Chi-Yin Chow, Jia-Dong Zhang, & Kam-Yiu Lam. (2022). H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services. IEEE Transactions on Services Computing. 16(2). 1212–1224. 3 indexed citations
5.
Zhao, Xiaofei, et al.. (2021). MVLevelDB: Using Log-Structured Tree to Support Temporal Queries in IoT. IEEE Internet of Things Journal. 9(10). 7815–7825. 3 indexed citations
6.
Ji, Meng, Tianqi Zhou, Fan Yang, et al.. (2021). Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers. Frontiers in Psychiatry. 12. 771562–771562. 5 indexed citations
7.
Ji, Meng, et al.. (2021). Supporting Risk‐Aware Use of Online Translation Tools in Delivering Mental Healthcare Services among Spanish‐Speaking Populations. Computational Intelligence and Neuroscience. 2021(1). 1011197–1011197. 1 indexed citations
8.
Ji, Meng, et al.. (2021). Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People. Computational Intelligence and Neuroscience. 2021(1). 1916690–1916690. 3 indexed citations
9.
Lam, Kam-Yiu, et al.. (2019). On the VC-dimension of unique round-trip shortest path systems. Information Processing Letters. 145. 1–5. 1 indexed citations
10.
Chang, Yuan-Hao, et al.. (2014). Space-efficient multiversion index scheme for PCM-based embedded database systems. 1–6. 2 indexed citations
11.
Ng, Joseph Kee‐Yin, et al.. (2014). Capturing and Analyzing Pervasive Data for SmartHealth. 10. 985–992. 9 indexed citations
12.
Ng, Joseph Kee‐Yin, et al.. (2013). An effective signal strength-based wireless location estimation system for tracking indoor mobile users. Journal of Computer and System Sciences. 79(7). 1005–1016. 23 indexed citations
13.
Lam, Kam-Yiu & Tei‐Wei Kuo. (2013). Real-Time Database Systems: Architecture and Techniques. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
14.
Wang, Hongya, et al.. (2006). Mobile Real-Time Read-Only Transaction Processing in Broadcast Disks. Journal of information science and engineering. 22(5). 1249–1264. 2 indexed citations
15.
Chan, Edward, et al.. (2006). Real time video frames allocation in mobile networks using cooperative pre-fetching. Multimedia Tools and Applications. 32(3). 329–352. 8 indexed citations
16.
Cheng, Reynold, et al.. (2006). An efficient location update mechanism for continuous queries over moving objects. Information Systems. 32(4). 593–620. 10 indexed citations
17.
Lam, Kam-Yiu, et al.. (2002). Impact of priority assignment on optimistic concurrency control in distributed real-time databases. The HKU Scholars Hub (University of Hong Kong). 5. 128–135. 1 indexed citations
18.
Lam, Kam-Yiu, et al.. (1999). Broadcast of consistent data to read-only transactions from mobile clients. 80–88. 19 indexed citations
19.
Lam, Kam-Yiu, et al.. (1997). Optimistic concurrency control protocol for real-time databases. Journal of Systems and Software. 38(2). 119–131. 1 indexed citations
20.
Yu, Clement, et al.. (1982). Promising Approach to Distributed Query Processing.. 363–390. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kyoung‐Don Kang Breakdown of academic impact, for papers by Tae‐Sun Chung Breakdown of academic impact, for papers by Ajay D. Kshemkalyani Breakdown of academic impact, for papers by Chi‐Sheng Shih Breakdown of academic impact, for papers by Ugo Buy Breakdown of academic impact, for papers by Wei Shu Breakdown of academic impact, for papers by Michael Möck Breakdown of academic impact, for papers by Alfons Crespo Breakdown of academic impact, for papers by David Powell Breakdown of academic impact, for papers by Mauro Marinoni
Rankless by CCL
2026