Shing-Chung Ngan

1.4k total citations · 1 hit paper
39 papers, 1.0k citations indexed

About

Shing-Chung Ngan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, Shing-Chung Ngan has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 11 papers in Cognitive Neuroscience. Recurrent topics in Shing-Chung Ngan's work include Multi-Criteria Decision Making (12 papers), Fuzzy Logic and Control Systems (11 papers) and Functional Brain Connectivity Studies (11 papers). Shing-Chung Ngan is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Fuzzy Logic and Control Systems (11 papers) and Functional Brain Connectivity Studies (11 papers). Shing-Chung Ngan collaborates with scholars based in Hong Kong, United States and China. Shing-Chung Ngan's co-authors include Xiaoping Hu, Alan H. S. Chan, Ka Po Wong, T.C. Wong, Ram Samudrala, Stephen M. LaConte, Kris M. Y. Law, Tianyun Liu, Ling‐Hong Hung and Seong‐Gi Kim and has published in prestigious journals such as Nucleic Acids Research, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Shing-Chung Ngan

38 papers receiving 991 citations

Hit 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.

The Effect of Long Working Hours and Overtime on Occupational Health: A Meta-Analysis of Evidence from 1998 to 2018

2019 239 citations Shing-Chung Ngan et al. profile →

Peers

Shing-Chung Ngan

RNMI

MSOR

GHP

Asja Fischer Germany

Ernestina Menasalvas Spain

Katherine Heller United States

David L. Dowe Australia

Madelyn Glymour United States

Christoph M. Friedrich Germany

Richard M. Golden United States

Jonathan Shapiro United Kingdom

Mu Zhu Canada

Asja Fischer Germany

Shing-Chung Ngan

58 ×0.3

52 ×0.3

RNMI

784 ×5.0

74 ×0.5

MSOR

140 ×1.1

GHP

Citations per year, relative to Shing-Chung Ngan Shing-Chung Ngan (= 1×) peers Asja Fischer

Countries citing papers authored by Shing-Chung Ngan

Since Specialization

Citations

This map shows the geographic impact of Shing-Chung Ngan'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 Shing-Chung Ngan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shing-Chung Ngan more than expected).

Fields of papers citing papers by Shing-Chung Ngan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing-Chung Ngan. 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 Shing-Chung Ngan. The network helps show where Shing-Chung Ngan may publish in the future.

Co-authorship network of co-authors of Shing-Chung Ngan

This figure shows the co-authorship network connecting the top 25 collaborators of Shing-Chung Ngan. A scholar is included among the top collaborators of Shing-Chung Ngan 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 Shing-Chung Ngan. Shing-Chung Ngan 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

Ngan, Shing-Chung. (2025). A concrete extension principle for fuzzy set theory. Expert Systems with Applications. 280. 127328–127328. 1 indexed citations

Ngan, Shing-Chung. (2024). An extension framework for creating operators and functions for intuitionistic fuzzy sets. Information Sciences. 666. 120336–120336. 9 indexed citations

Ngan, Shing-Chung. (2022). A user-configurable and explainable framework for ranking fuzzy numbers. Expert Systems with Applications. 209. 118297–118297. 2 indexed citations

Ngan, Shing-Chung. (2019). A concrete and rational approach for building type-2 fuzzy subsethood and similarity measures via a generalized foundational model. Expert Systems with Applications. 130. 236–264. 6 indexed citations

Ngan, Shing-Chung. (2016). An activation detection based similarity measure for intuitionistic fuzzy sets. Expert Systems with Applications. 60. 62–80. 23 indexed citations

Wong, T.C., Shing-Chung Ngan, Felix T.S. Chan, & Alain Yee‐Loong Chong. (2012). A two-stage analysis of the influences of employee alignment on effecting business–IT alignment. Decision Support Systems. 53(3). 490–498. 25 indexed citations

Ngan, Shing-Chung. (2012). Correlation coefficient of linguistic variables and its applications to quantifying relations in imprecise management data. Engineering Applications of Artificial Intelligence. 26(1). 347–356. 7 indexed citations

Ngan, Shing-Chung, Xiaoping Hu, & Pek‐Lan Khong. (2011). Investigating the enhancement of template-free activation detection of event-related fMRI data using wavelet shrinkage and figures of merit. Artificial Intelligence in Medicine. 51(3). 187–198. 6 indexed citations

Ngan, Shing-Chung. (2011). Decision making with extended fuzzy linguistic computing, with applications to new product development and survey analysis. Expert Systems with Applications. 23 indexed citations

10.

Wong, T.C., Kris M. Y. Law, Hon Keung Yau, & Shing-Chung Ngan. (2010). Analyzing supply chain operation models with the PC-algorithm and the neural network. Expert Systems with Applications. 38(6). 7526–7534. 31 indexed citations

11.

Ngan, Shing-Chung, Xiaoping Hu, Li‐Hai Tan, & Pek‐Lan Khong. (2009). Improvement of spectral density-based activation detection of event-related fMRI data. Magnetic Resonance Imaging. 27(7). 879–894. 4 indexed citations

12.

Ngan, Shing-Chung, Ling‐Hong Hung, Tianyun Liu, & Ram Samudrala. (2008). Scoring Functions for De Novo Protein Structure Prediction Revisited. Humana Press eBooks. 243–281. 9 indexed citations

13.

Ngan, Shing-Chung, Michael Inouye, & Ram Samudrala. (2006). A knowledge-based scoring function based on residue triplets for protein structure prediction. Protein Engineering Design and Selection. 19(5). 187–193. 14 indexed citations

14.

Hung, Ling‐Hong, Shing-Chung Ngan, Tianyun Liu, & Ram Samudrala. (2005). PROTINFO: new algorithms for enhanced protein structure predictions. Nucleic Acids Research. 33(Web Server). W77–W80. 67 indexed citations

15.

Ngan, Shing-Chung, Essa Yacoub, William F. Auffermann, & Xiaoping Hu. (2002). Node merging in Kohonen’s self-organizing mapping of fMRI data. Artificial Intelligence in Medicine. 25(1). 19–33. 20 indexed citations

16.

Ngan, Shing-Chung, et al.. (2001). Anisotropic 2-D and 3-D averaging of fMRI signals. IEEE Transactions on Medical Imaging. 20(2). 86–93. 31 indexed citations

17.

Ngan, Shing-Chung, Stephen M. LaConte, & Xiaoping Hu. (2000). Temporal Filtering of Event-Related fMRI Data Using Cross-Validation. NeuroImage. 11(6). 797–804. 18 indexed citations

18.

LaConte, Stephen M., Shing-Chung Ngan, & Xiaoping Hu. (2000). Wavelet transform-based Wiener filtering of event-related fMRI data. Magnetic Resonance in Medicine. 44(5). 746–757. 45 indexed citations

19.

Ngan, Shing-Chung & Xiaoping Hu. (1999). Analysis of functional magnetic resonance imaging data using self-organizing mapping with spatial connectivity. Magnetic Resonance in Medicine. 41(5). 939–946. 76 indexed citations

20.

Ngan, Shing-Chung. (1997). Kinetics of adiabatic phase boundaries and decomposition of metastable states in solids. PhDT. 1 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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