Siew Ann Cheong

Orcid: 0000-0002-8589-6699

Affiliations:
  • Nanyang Technological University, Division of Physics and Applied Physics, Singapore


According to our database1, Siew Ann Cheong authored at least 27 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets.
Entropy, June, 2023

2022
The emergence of graphene research topics through interactions within and beyond.
Quant. Sci. Stud., 2022

Strategic differences between regional investments into graphene technology and how corporations and universities manage patent portfolios.
CoRR, 2022

A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing.
CoRR, 2022

Deep Learning for Automatic Detection of Qualitative Features of Lecturing.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Identifying Actionable Serial Correlations in Financial Markets.
Frontiers Appl. Math. Stat., 2021

Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash.
Entropy, 2021

Coevolution of theoretical and applied research: a case study of graphene research by temporal and geographic analysis.
CoRR, 2021

2020
Intrinsic Quasi-Periodicity in Hong Kong Housing Price and Its Prediction.
New Math. Nat. Comput., 2020

The golden eras of graphene science and technology: Bibliographic evidences from journal and patent publications.
J. Informetrics, 2020

2019
Complex Network Analysis of the Robustness of the Hanoi, Vietnam Bus Network.
J. Syst. Sci. Complex., 2019

Predicting the Evolution of Physics Research from a Complex Network Perspective.
Entropy, 2019

The role of mainstreamness and interdisciplinarity for the relevance of scientific papers.
CoRR, 2019

2018
Finite Sample Corrections for Parameters Estimation and Significance Testing.
Frontiers Appl. Math. Stat., 2018

Using Machine Learning to Predict the Evolution of Physics Research.
CoRR, 2018

Optimal Fee Structure for Efficient Lightning Networks.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Gaussian Process Kernels for Noisy Time Series: Application to Housing Price Prediction.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Knowledge Evolution in Physics Research: An Analysis of Bibliographic Coupling Networks.
CoRR, 2017

2016
Feature Selection Based on Synchronization Analysis for Multiple fMRI Data.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2014
Complex network analysis of teaching practices.
EPJ Data Sci., 2014

Quantitative Comparison Between Crowd Models for Evacuation Planning and Evaluation.
CoRR, 2014

2013
Interactive Global Histories: For a New Information Environment to Increase the Understanding of Historical Processes.
Proceedings of the 2013 International Conference on Culture and Computing, 2013

2012
Stochastic boundary conditions for grand-canonical-like molecular dynamics simulations of open systems.
Comput. Phys. Commun., 2012

2011
Dynamical study of metallic clusters using the statistical method of time series clustering.
Comput. Phys. Commun., 2011

Comparing the Macroeconomic Responses of US and Japan through Time Series Segmentation.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

Time Series Segmentation as a Discovery Tool - A Case Study of the US and Japanese Financial Markets.
Proceedings of the KDIR 2011, 2011

2010
Strategic Insights From Playing the Quantum Tic-Tac-Toe
CoRR, 2010


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