Tak‐Wah Lam
- Molecular Biology top 0.5%
- Ecology top 0.5%
- Plant Science top 0.5%
- Genetics top 1%
- Pollution top 0.5%
- Co-authors
- Ruibang LuoChi-Man LiuKunihiko SadakaneDinghua LiSiu‐Ming YiuYingrui LiRuiqiang LiJun Wang
- Topics
- Genomics and Phylogenetic Studies (56 papers)Algorithms and Data Compression (42 papers)Optimization and Search Problems (42 papers)
- Cited by
- EcologyPollutionMolecular Biology
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Tak‐Wah Lam
174 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Molecular Biology 6.7k
- Ecology 3.3k
- Plant Science 2.3k
- Genetics 1.3k
- Pollution 1.2k
Countries citing papers authored by Tak‐Wah Lam
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq readsbreakdown → | 634 |
| 11 | Competitive online algorithms for multiple-machine power management and weighted flow time | 0 |
| 12 | 2 | |
| 13 | 59 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | On the parallel time complexity of undirected connectivity and minimum spanning trees | 6 |
| 18 | Trade-offs between speed and processor in hard-deadline scheduling | 27 |
| 19 | 3 | |
| 20 | 26 |
About Tak‐Wah Lam
Tak‐Wah Lam is a scholar working on Hardware and Architecture, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 185 papers that have together received 12.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (56 papers), Algorithms and Data Compression (42 papers) and Optimization and Search Problems (42 papers). The work is most often cited by research in Ecology (3.3k citations), Pollution (1.2k citations) and Molecular Biology (6.7k citations). Tak‐Wah Lam has collaborated with scholars based in Hong Kong, United States and China. Frequent 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. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.
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.