Ngaam J. Cheung

516 total citations
16 papers, 371 citations indexed

About

Ngaam J. Cheung is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Ngaam J. Cheung has authored 16 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Ngaam J. Cheung's work include Metaheuristic Optimization Algorithms Research (7 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Bioinformatics (5 papers). Ngaam J. Cheung is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Protein Structure and Dynamics (6 papers) and Machine Learning in Bioinformatics (5 papers). Ngaam J. Cheung collaborates with scholars based in China, United Kingdom and United States. Ngaam J. Cheung's co-authors include Xueming Ding, Hong‐Bin Shen, Wookyung Yu, Benoı̂t Kornmann, Xiaohui Liu, Arun T. John Peter, Agnès H. Michel, Matthias Peter, Yongchang Xu and Josef T. Kittler and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Ngaam J. Cheung

16 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ngaam J. Cheung China 11 190 103 77 68 40 16 371
Wook-Dong Kim South Korea 13 152 0.8× 203 2.0× 30 0.4× 59 0.9× 29 0.7× 39 539
Juanjuan He China 11 160 0.8× 94 0.9× 131 1.7× 40 0.6× 37 0.9× 28 338
Chanjuan Liu China 12 66 0.3× 141 1.4× 88 1.1× 57 0.8× 101 2.5× 41 409
Jian Peng China 9 65 0.3× 119 1.2× 36 0.5× 19 0.3× 23 0.6× 34 347
Himani Joshi India 7 73 0.4× 94 0.9× 32 0.4× 11 0.2× 57 1.4× 36 317
Durga Prasad Muni India 5 287 1.5× 47 0.5× 68 0.9× 23 0.3× 20 0.5× 8 387
Swati Vipsita India 10 191 1.0× 138 1.3× 32 0.4× 26 0.4× 26 0.7× 38 349
Hojjat Rakhshani France 8 143 0.8× 47 0.5× 97 1.3× 26 0.4× 27 0.7× 15 338
Salem F. Adra United Kingdom 7 227 1.2× 48 0.5× 236 3.1× 21 0.3× 11 0.3× 10 397
Daniel Pérez Spain 11 76 0.4× 52 0.5× 10 0.1× 44 0.6× 71 1.8× 36 354

Countries citing papers authored by Ngaam J. Cheung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Covill‐Cooke, Christian, Guillermo López‐Doménech, Ngaam J. Cheung, et al.. (2024). Shared structural features of Miro binding control mitochondrial homeostasis. The EMBO Journal. 43(4). 595–614. 10 indexed citations
2.
Peter, Arun T. John, et al.. (2022). Rewiring phospholipid biosynthesis reveals resilience to membrane perturbations and uncovers regulators of lipid homeostasis. The EMBO Journal. 41(7). e109998–e109998. 27 indexed citations
3.
Peter, Arun T. John, Ngaam J. Cheung, & Benoı̂t Kornmann. (2022). Csf1: A Putative Lipid Transport Protein Required for Homeoviscous Adaptation of the Lipidome. SHILAP Revista de lepidopterología. 5. 3767422667–3767422667. 7 indexed citations
4.
Xu, Yongchang, et al.. (2021). Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network. Scientific Reports. 11(1). 21033–21033. 7 indexed citations
5.
Cheung, Ngaam J., Arun T. John Peter, & Benoı̂t Kornmann. (2021). Leri: A web-server for identifying protein functional networks from evolutionary couplings. Computational and Structural Biotechnology Journal. 19. 3556–3563. 13 indexed citations
6.
Cheung, Ngaam J. & Wookyung Yu. (2019). Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico. BMC Bioinformatics. 20(1). 455–455. 6 indexed citations
7.
Cheung, Ngaam J. & Wookyung Yu. (2018). De novo protein structure prediction using ultra-fast molecular dynamics simulation. PLoS ONE. 13(11). e0205819–e0205819. 19 indexed citations
8.
Cheung, Ngaam J., Xueming Ding, & Hong‐Bin Shen. (2016). A Non-homogeneous Firefly Algorithm and Its Convergence Analysis. Journal of Optimization Theory and Applications. 170(2). 616–628. 5 indexed citations
9.
Cheung, Ngaam J., Xueming Ding, & Hong‐Bin Shen. (2016). A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization. IEEE Transactions on Cybernetics. 47(2). 1–12. 69 indexed citations
10.
Cheung, Ngaam J., et al.. (2015). Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm. European Journal of Operational Research. 247(2). 349–358. 10 indexed citations
11.
Cheung, Ngaam J., Xueming Ding, & Hong‐Bin Shen. (2015). A supervised particle swarm algorithm for real-parameter optimization. Applied Intelligence. 43(4). 825–839. 7 indexed citations
12.
Cheung, Ngaam J., Xueming Ding, & Hong‐Bin Shen. (2015). Protein folds recognized by an intelligent predictor based‐on evolutionary and structural information. Journal of Computational Chemistry. 37(4). 426–436. 10 indexed citations
13.
Cheung, Ngaam J., Xueming Ding, & Hong‐Bin Shen. (2014). Adaptive Firefly Algorithm: Parameter Analysis and its Application. PLoS ONE. 9(11). e112634–e112634. 36 indexed citations
14.
Cheung, Ngaam J. & Hong‐Bin Shen. (2014). Hierarchical particle swarm optimizer for minimizing the non-convex potential energy of molecular structure. Journal of Molecular Graphics and Modelling. 54. 114–122. 10 indexed citations
15.
Ding, Xueming, et al.. (2014). Parameter estimation of Takagi–Sugeno fuzzy system using heterogeneous cuckoo search algorithm. Neurocomputing. 151. 1332–1342. 44 indexed citations
16.
Cheung, Ngaam J., Xueming Ding, & Hong‐Bin Shen. (2013). OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi–Sugeno Fuzzy Modeling. IEEE Transactions on Fuzzy Systems. 22(4). 919–933. 91 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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