Tak‐Wah Lam

30.6k total citations · 5 hit papers
185 papers, 12.9k citations indexed

About

Tak‐Wah Lam is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tak‐Wah Lam has authored 185 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 60 papers in Artificial Intelligence and 57 papers in Computer Networks and Communications. Recurrent topics in Tak‐Wah Lam's work include Genomics and Phylogenetic Studies (56 papers), Algorithms and Data Compression (42 papers) and Optimization and Search Problems (42 papers). Tak‐Wah Lam is often cited by papers focused on Genomics and Phylogenetic Studies (56 papers), Algorithms and Data Compression (42 papers) and Optimization and Search Problems (42 papers). Tak‐Wah Lam collaborates with scholars based in Hong Kong, United States and China. Tak‐Wah Lam's co-authors include Ruibang Luo, Chi-Man Liu, Kunihiko Sadakane, Dinghua Li, Siu‐Ming Yiu, Yingrui Li, Ruiqiang Li, Jun Wang, Chang Yu and Karsten Kristiansen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Tak‐Wah Lam

174 papers receiving 12.8k citations

Hit Papers

5 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.

MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

2015 5.5k citations Chi-Man Liu, Ruibang Luo et al. Bioinformatics profile →
SOAP2: an improved ultrafast tool for short read alignment

2009 2.8k citations Yingrui Li, Tak‐Wah Lam et al. Bioinformatics profile →
MEGAHIT v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices

2016 1.2k citations Ruibang Luo, Chi-Man Liu et al. profile →
SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads

2014 634 citations Yinlong Xie, Jingbo Tang et al. Bioinformatics profile →
Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

2022 139 citations Zhenxian Zheng, Shumin Li et al. profile →

Peers

Countries citing papers authored by Tak‐Wah Lam

Since Specialization

Citations

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

Fields of papers citing papers by Tak‐Wah Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tak‐Wah Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Tak‐Wah Lam. A scholar is included among the top collaborators of Tak‐Wah 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 Tak‐Wah Lam. Tak‐Wah 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	AutoPM3: enhancing variant interpretation via LLM-driven PM3 evidence extraction from scientific literature 2025 ·Bioinformatics ·Shumin Li, (unknown), (unknown), Yuanhua Huang, Tak‐Wah Lam, Ruibang Luo	1
2	Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach 2025 ·PLoS ONE ·(unknown), (unknown), Qiuyan Yu, Joseph E. Blais, Eric Yuk Fai Wan, Chun‐Ka Wong, Kathryn Tan, (unknown), Kai Hang Yiu, Esther W. Chan, Doris Sau Fung Yu, William Chi Wai Wong, Tak‐Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine Sze Ling Chui	1
3	Development and validation of risk prediction model for recurrent cardiovascular events among Chinese: the Personalized CARdiovascular DIsease risk Assessment for Chinese model 2024 ·European Heart Journal - Digital Health ·(unknown), (unknown), Qiuyan Yu, Joseph E. Blais, Eric Yuk Fai Wan, Marco Lee, Chun‐Ka Wong, (unknown), (unknown), Esther W. Chan, Tak‐Wah Lam, (unknown), Ian Chi Kei Wong, Ruibang Luo, Celine Sze Ling Chui	3
4	Repun: an accurate small variant representation unification method for multiple sequencing platforms 2024 ·Briefings in Bioinformatics ·Zhenxian Zheng, (unknown), (unknown), (unknown), Shumin Li, (unknown), Tak‐Wah Lam, Ruibang Luo	1
5	Genome instability-derived genes as a novel prognostic signature for lung adenocarcinoma 2023 ·Frontiers in Cell and Developmental Biology ·Xu Zhang, Tak‐Wah Lam, Hing‐Fung Ting	2
6	HKG: an open genetic variant database of 205 Hong Kong cantonese exomes 2022 ·NAR Genomics and Bioinformatics ·Min Ou, (unknown), Amy Wing-Sze Leung, Ho‐Ming Luk, Bin Yan, Chi-Man Liu, (unknown), (unknown), (unknown), (unknown), Tak‐Wah Lam, Ivan F. M. Lo, Ruibang Luo	3
7	Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks 2022 ·Briefings in Bioinformatics ·Junhao Su, Zhenxian Zheng, (unknown), Tak‐Wah Lam, Ruibang Luo	15
8	Assembly-free discovery of human novel sequences using long reads 2022 ·DNA Research ·(unknown), Bin Yan, Tak‐Wah Lam, Ruibang Luo	1
9	RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion 2021 ·NAR Genomics and Bioinformatics ·Junhao Su, Ye Wu, Hing‐Fung Ting, Tak‐Wah Lam, Ruibang Luo	8
10	SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads breakdown → 2014 ·Bioinformatics ·Yinlong Xie, (unknown), Jingbo Tang, Ruibang Luo, Jordan Patterson, Shanlin Liu, Weihua Huang, (unknown), Shengchang Gu, Shengkang Li, Xin Zhou, Tak‐Wah Lam, Yingrui Li, Xun Xu, Gane Ka‐Shu Wong, Jun Wang	634
11	Competitive online algorithms for multiple-machine power management and weighted flow time 2013 ·Ho-Leung Chan, (unknown), Tak‐Wah Lam, Lap–Kei Lee, Rongbin Li, Chi-Man Liu	0
12	Algorithms and Computation 24th International Symposium, ISAAC 2013, Hong Kong, China, December 16-18, 2013, Proceedings 2013 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Leizhen Cai, Siu-Wing Cheng, Tak‐Wah Lam	2
13	Energy efficient online deadline scheduling 2007 ·Symposium on Discrete Algorithms ·Ho-Leung Chan, Wun-Tat Chan, Tak‐Wah Lam, Lap–Kei Lee, (unknown), Prudence W. H. Wong	59
14	Extra unit-speed machines are almost as powerful as speedy machines for competitive flow time scheduling 2006 ·Symposium on Discrete Algorithms ·Ho-Leung Chan, Tak‐Wah Lam, (unknown)	1
15	Dynamic dictionary matching and compressed suffix trees 2005 ·Symposium on Discrete Algorithms ·Ho-Leung Chan, Wing-Kai Hon, Tak‐Wah Lam, Kunihiko Sadakane	5
16	Performance guarantee for online deadline scheduling in the presence of overload 2001 ·Symposium on Discrete Algorithms ·Tak‐Wah Lam, (unknown)	14
17	On the parallel time complexity of undirected connectivity and minimum spanning trees 1999 ·The HKU Scholars Hub (University of Hong Kong) ·(unknown), Yijie Han, Tak‐Wah Lam	6
18	Trade-offs between speed and processor in hard-deadline scheduling 1999 ·Symposium on Discrete Algorithms ·Tak‐Wah Lam, (unknown)	27
19	Improving biconnectivity approximation via local optimization 1996 ·Symposium on Discrete Algorithms ·(unknown), Tak‐Wah Lam	3
20	Finding connected components in O(log n loglog n) time on the EREW PRAM 1993 ·Symposium on Discrete Algorithms ·(unknown), Tak‐Wah Lam	26

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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