Ngaam J. Cheung
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Xueming DingHong‐Bin ShenWookyung YuBenoı̂t KornmannArun T. John PeterXiaohui LiuAgnès H. MichelMatthias Peter
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Protein Structure and Dynamics (6 papers)Machine Learning in Bioinformatics (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe EMBO JournalPLoS ONE
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ngaam J. Cheung
16 papers receiving 358 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 190
- Molecular Biology 103
- Computational Theory and Mathematics 77
- Control and Systems Engineering 68
- Electrical and Electronic Engineering 40
Countries citing papers authored by Ngaam J. Cheung
This map shows the geographic impact of Ngaam J. Cheung'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 Ngaam J. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ngaam J. Cheung more than expected).
Fields of papers citing papers by Ngaam J. Cheung
This network shows the impact of papers produced by Ngaam J. Cheung. 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 Ngaam J. Cheung. The network helps show where Ngaam J. Cheung may publish in the future.
Co-authorship network of co-authors of Ngaam J. Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Ngaam J. Cheung. A scholar is included among the top collaborators of Ngaam J. Cheung 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 Ngaam J. Cheung. Ngaam J. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 27 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 5 | |
| 9 | 69 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 36 | |
| 14 | 10 | |
| 15 | 44 | |
| 16 | 91 |
About Ngaam J. Cheung
Ngaam J. Cheung is a scholar working on Biochemistry, Computational Theory and Mathematics and Artificial Intelligence, having authored 16 papers that have together received 371 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Computational Theory and Mathematics (77 citations) and Control and Systems Engineering (68 citations). Ngaam J. Cheung has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xueming Ding, Hong‐Bin Shen, Wookyung Yu, Benoı̂t Kornmann, Arun T. John Peter, Xiaohui Liu, Agnès H. Michel, Matthias Peter, Yongchang Xu and Martin Peterka. Their work appears in journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.
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.