Sai Ho Ling

6.4k total citations · 1 hit paper
214 papers, 4.5k citations indexed

About

Sai Ho Ling is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Sai Ho Ling has authored 214 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 40 papers in Cardiology and Cardiovascular Medicine and 39 papers in Biomedical Engineering. Recurrent topics in Sai Ho Ling's work include EEG and Brain-Computer Interfaces (33 papers), Neural Networks and Applications (31 papers) and Diabetes Management and Research (30 papers). Sai Ho Ling is often cited by papers focused on EEG and Brain-Computer Interfaces (33 papers), Neural Networks and Applications (31 papers) and Diabetes Management and Research (30 papers). Sai Ho Ling collaborates with scholars based in Australia, Hong Kong and China. Sai Ho Ling's co-authors include F.H.F. Leung, Hak‐Keung Lam, Hung T. Nguyen, Rifai Chai, Herbert Ho‐Ching Iu, Kit Yan Chan, Talha Ali Khan, Phyo Phyo San, Yvonne Tran and P.K.S. Tam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Sai Ho Ling

204 papers receiving 4.3k 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.

Tuning of the structure and parameters of a neural network using an improved genetic algorithm

2003 582 citations F.H.F. Leung, Hak‐Keung Lam et al. profile →

Peers

Countries citing papers authored by Sai Ho Ling

Since Specialization

Citations

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

Fields of papers citing papers by Sai Ho Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Ho Ling. 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 Sai Ho Ling. The network helps show where Sai Ho Ling may publish in the future.

Co-authorship network of co-authors of Sai Ho Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Ho Ling. A scholar is included among the top collaborators of Sai Ho Ling 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 Sai Ho Ling. Sai Ho Ling 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

#	Work	Indexed citations
1	Multimodal learning for non-small cell lung cancer prognosis 2025 ·Biomedical Signal Processing and Control ·(unknown), Yaxiong Wang, Xiaoshui Huang, Haofei Wang, (unknown), Wenwen Sun, Sai Ho Ling, Steven W. Su	1
2	A Improved Hybrid Attention Recurrent Residual U-Net approach for the segmentation of ultrasound spine images 2025 ·Biomedical Signal Processing and Control ·(unknown), Yong‐Ping Zheng, Sai Ho Ling	0
3	Evolving optimized transformer-hybrid systems for robust BCI signal processing using genetic algorithms 2025 ·Biomedical Signal Processing and Control ·(unknown), (unknown), (unknown), Johnny Wong, Sai Ho Ling	1
4	Next-Gen Medical Imaging: U-Net Evolution and the Rise of Transformers 2024 ·Sensors ·(unknown), (unknown), Sai Ho Ling	11
5	Identification of fractional Hammerstein model for electrical stimulated muscle: An application of fuzzy-weighted differential evolution 2023 ·Biomedical Signal Processing and Control ·Ammara Mehmood, Muhammad Asif Zahoor Raja, Mahdi Jalili, Sai Ho Ling	8
6	Design of Confidence-Integrated Denoising Auto-Encoder for Personalized Top-N Recommender Systems 2023 ·Mathematics ·Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, (unknown), Sai Ho Ling, Muhammad Asif Zahoor Raja	5
7	Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review 2023 ·Computers in Biology and Medicine ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, (unknown), Yudong Zhang, Shuihua Wang‎, J. M. Górriz, Hamid Alinejad‐Rokny, U. Rajendra Acharya	50
8	Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network 2023 ·Neural Computing and Applications ·Yang An, Hak‐Keung Lam, Sai Ho Ling	21
9	Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization 2021 ·IEEE Transactions on Evolutionary Computation ·Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Sai Ho Ling, Steven W. Su	58
10	A neuron image segmentation method based Deep Boltzmann Machine and CV model 2021 ·Computerized Medical Imaging and Graphics ·(unknown), Xiaoming Huang, Xun Wang, Senhui Qiu, Frank Jiang, Sai Ho Ling	1
11	Ultrasound volume projection image quality selection by ranking from convolutional RankNet 2021 ·Computerized Medical Imaging and Graphics ·Juan Lyu, Sai Ho Ling, (unknown), Jukuan Zheng, Kuo‐Lung Lai, Daqing Yang, Yong‐Ping Zheng, Xiaojun Bi, Steven W. Su, Uphar Chamoli	13
12	A novel algorithm for automatic diagnosis of sleep apnea from airflow and oximetry signals 2020 ·Physiological Measurement ·(unknown), Chin Moi Chow, Sai Ho Ling, Steven W. Su	7
13	Influence of Tissue Anisotropy on Molecular Communication 2019 ·PubMed ·(unknown), Ananda Sanagavarapu Mohan, Sai Ho Ling	0
14	Design of neuro-computing paradigms for nonlinear nanofluidic systems of MHD Jeffery–Hamel flow 2018 ·Journal of the Taiwan Institute of Chemical Engineers ·Ammara Mehmood, (unknown), Aneela Zameer, Sai Ho Ling, Muhammad Asif Zahoor Raja	74
15	Feature Selection for the Detection of Sleep Apnea using Multi-Bio Signals from Overnight Polysomnography 2018 ·PubMed ·(unknown), Ahmed Al-Ani, Sai Ho Ling	4
16	Hybrid brain–computer interface for biomedical cyber-physical system application using wireless embedded EEG systems 2017 ·BioMedical Engineering OnLine ·Rifai Chai, Ganesh R. Naik, Sai Ho Ling, Hung T. Nguyen	18
17	Identification of protein-ligand binding site using multi-clustering and Support Vector Machine 2016 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·(unknown), F.H.F. Leung, Sai Ho Ling	2
18	Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications 2014 ·Neurocomputing ·Hak‐Keung Lam, (unknown), Bo Xiao, Gaoxiang Ouyang, Hongbin Liu, Kit Yan Chan, Sai Ho Ling	18
19	Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference system 2012 ·PubMed ·Phyo Phyo San, Sai Ho Ling, Hung T. Nguyen	10
20	Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions 2011 ·Research Portal (King's College London) ·Sai Ho Ling, Hak‐Keung Lam	10

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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