Sin-Chun Ng

1.7k total citations · 1 hit paper
96 papers, 1.0k citations indexed

About

Sin-Chun Ng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Sin-Chun Ng has authored 96 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 23 papers in Control and Systems Engineering. Recurrent topics in Sin-Chun Ng's work include Neural Networks and Applications (36 papers), Advanced Adaptive Filtering Techniques (16 papers) and Advanced Algorithms and Applications (16 papers). Sin-Chun Ng is often cited by papers focused on Neural Networks and Applications (36 papers), Advanced Adaptive Filtering Techniques (16 papers) and Advanced Algorithms and Applications (16 papers). Sin-Chun Ng collaborates with scholars based in Hong Kong, China and United Kingdom. Sin-Chun Ng's co-authors include Man-Fai Leung, S.H. Leung, Yunfeng Wu, Andrew Kwok-Fai Lui, Ray C. C. Cheung, Rangaraj M. Rangayyan, Chi-Chung Cheung, Sheung‐On Choy, C.F. So and Hangjun Che and has published in prestigious journals such as IEEE Access, Sensors and IEEE Signal Processing Magazine.

In The Last Decade

Sin-Chun Ng

91 papers receiving 944 citations

Hit Papers

A BERT Framework to Sentiment Analysis of Tweets 2023 2026 2024 2025 2023 25 50 75 100
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.

  1. A BERT Framework to Sentiment Analysis of Tweets
    2023 109 citations Sin-Chun Ng, Man-Fai Leung et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sin-Chun Ng Hong Kong 16 461 161 152 138 118 96 1.0k
Dazhi Jiang China 22 621 1.3× 252 1.6× 192 1.3× 118 0.9× 84 0.7× 88 1.4k
Guanghong Gong China 15 129 0.3× 104 0.6× 118 0.8× 66 0.5× 54 0.5× 109 791
Osama Ahmad Alomari Jordan 25 825 1.8× 139 0.9× 227 1.5× 112 0.8× 254 2.2× 55 1.7k
Liping Xie China 19 512 1.1× 150 0.9× 190 1.3× 80 0.6× 294 2.5× 83 1.3k
Leonardo Trujillo Mexico 21 621 1.3× 128 0.8× 410 2.7× 58 0.4× 119 1.0× 125 1.5k
Yunsick Sung South Korea 20 261 0.6× 91 0.6× 354 2.3× 221 1.6× 148 1.3× 114 1.2k
Sk. Md. Mizanur Rahman Saudi Arabia 23 521 1.1× 39 0.2× 270 1.8× 213 1.5× 191 1.6× 74 1.7k
Anna Maria Fanelli Italy 18 788 1.7× 133 0.8× 215 1.4× 79 0.6× 64 0.5× 101 1.2k
Olivier Pietquin France 20 1.2k 2.7× 312 1.9× 284 1.9× 175 1.3× 130 1.1× 61 1.8k
Jun Peng China 15 271 0.6× 192 1.2× 255 1.7× 66 0.5× 55 0.5× 170 1.1k

Countries citing papers authored by Sin-Chun Ng

Since Specialization
Citations

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

Fields of papers citing papers by Sin-Chun Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin-Chun Ng. 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 Sin-Chun Ng. The network helps show where Sin-Chun Ng may publish in the future.

Co-authorship network of co-authors of Sin-Chun Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Sin-Chun Ng. A scholar is included among the top collaborators of Sin-Chun Ng 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 Sin-Chun Ng. Sin-Chun Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ng, Sin-Chun, et al.. (2024). Skin Cancer Classification Using Fine-Tuned Transfer Learning of DENSENET-121. Applied Sciences. 14(17). 7707–7707. 19 indexed citations
2.
Ng, Sin-Chun, et al.. (2023). A BERT Framework to Sentiment Analysis of Tweets. Sensors. 23(1). 506–506. 109 indexed citations breakdown →
3.
Lui, Andrew Kwok-Fai, et al.. (2022). An Interactive Short Answer Grading System Based on Active Learning Models. 314–321.
4.
Ng, Sin-Chun, et al.. (2022). EEG-based emotion recognition using hybrid CNN and LSTM classification. Frontiers in Computational Neuroscience. 16. 1019776–1019776. 95 indexed citations
5.
Ng, Sin-Chun, et al.. (2021). An Intelligent Mobile Application for Assisting Visually Impaired in Daily Consumption Based on Machine Learning with Assistive Technology. International Journal of Artificial Intelligence Tools. 30(1). 2140002–2140002. 4 indexed citations
6.
Leung, Man-Fai, Carlos A. Coello Coello, Chi-Chung Cheung, Sin-Chun Ng, & Andrew Kwok-Fai Lui. (2020). A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. IEEE Access. 8. 189527–189545. 25 indexed citations
7.
Ng, Sin-Chun, et al.. (2020). A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem. Cybernetics & Systems. 52(1). 73–104. 36 indexed citations
8.
Ng, Sin-Chun, et al.. (2016). A Hybrid Framework for Restaurant Recommender System. International Journal of Scientific Engineering and Technology. 5(12). 546–548. 2 indexed citations
9.
Ng, Sin-Chun, et al.. (2016). Feature Extraction of the Carapace for marine Turtle Species Categorization. International Journal of Scientific Engineering and Technology. 5(9). 425–429. 2 indexed citations
10.
Ng, Sin-Chun, et al.. (2016). A Hybrid Model for Pattern Recognition of Marine Turtle Species. International Journal of Scientific Engineering and Technology. 5(10). 491–495. 1 indexed citations
11.
Leung, Man-Fai, et al.. (2014). A new strategy for finding good local guides in MOPSO. 1990–1997. 25 indexed citations
12.
Lui, Andrew Kwok-Fai, et al.. (2012). Development of a mental stress relaxation tool based on guided imagery and Microsoft Kinect. 1–6. 2 indexed citations
13.
Wu, Yunfeng & Sin-Chun Ng. (2010). A PDF-based classification of gait cadence patterns in patients with amyotrophic lateral sclerosis. PubMed. 2010. 1304–1307. 15 indexed citations
14.
Wu, Yunfeng, et al.. (2008). Combining neural-based regression predictors using an unbiased and normalized linear ensemble model. 4493. 3955–3960. 1 indexed citations
15.
Rangayyan, Rangaraj M., et al.. (2007). Cancellation of Artifacts in ECG Signals Using a Normalized Adaptive Neural Filter. Conference proceedings. 26. 2552–2555. 7 indexed citations
16.
Choy, Sheung‐On, et al.. (2005). Software Agents to Assist in Distance Learning Environments.. ˜The œEDUCAUSE quarterly/EDUCAUSE quarterly. 28(2). 34–40. 4 indexed citations
17.
Ng, Sin-Chun, Ray C. C. Cheung, & S.H. Leung. (2004). Magnified Gradient Function With Deterministic Weight Modification in Adaptive Learning. IEEE Transactions on Neural Networks. 15(6). 1411–1423. 60 indexed citations
18.
Ng, Sin-Chun, et al.. (2003). The generalized back-propagation algorithm with convergence analysis. 5. 612–615. 1 indexed citations
19.
Ng, Sin-Chun, et al.. (2002). Fast implementation of evolutionary variable step size algorithm. 407–410. 1 indexed citations
20.
Ng, Sin-Chun, et al.. (2000). Deterministic weight evolution algorithm for solvinglocalminima problem. Electronics Letters. 36(12). 1039–1041. 5 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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