Alan Wee‐Chung Liew

6.7k total citations
227 papers, 4.4k citations indexed

About

Alan Wee‐Chung Liew is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alan Wee‐Chung Liew has authored 227 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Computer Vision and Pattern Recognition, 66 papers in Artificial Intelligence and 45 papers in Molecular Biology. Recurrent topics in Alan Wee‐Chung Liew's work include Gene expression and cancer classification (27 papers), Speech and Audio Processing (24 papers) and Medical Image Segmentation Techniques (23 papers). Alan Wee‐Chung Liew is often cited by papers focused on Gene expression and cancer classification (27 papers), Speech and Audio Processing (24 papers) and Medical Image Segmentation Techniques (23 papers). Alan Wee‐Chung Liew collaborates with scholars based in Australia, Hong Kong and China. Alan Wee‐Chung Liew's co-authors include Hong Yan, S.H. Leung, Ngai-Fong Law, Shilin Wang, W.H. Lau, Tien Thanh Nguyen, Mengsu Yang, Ghazaleh Taherzadeh, Yuedong Yang and Yaoqi Zhou and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Bone and Joint Surgery.

In The Last Decade

Alan Wee‐Chung Liew

211 papers receiving 4.2k citations

Peers

Alan Wee‐Chung Liew

CVPR

Delbert Dueck Canada

Marina Meilă United States

Álex Rodríguez Italy

Jinbo Bi United States

Barbara Hammer Germany

Pavel Pudil Czechia

Michael E. Tipping United Kingdom

Mika Sirén Germany

Asifullah Khan Pakistan

Kai‐Wei Chang Taiwan

Delbert Dueck Canada

Alan Wee‐Chung Liew

1.6k ×1.0

CVPR

1.9k ×1.8

834 ×0.8

531 ×1.0

276 ×0.6

Citations per year, relative to Alan Wee‐Chung Liew Alan Wee‐Chung Liew (= 1×) peers Delbert Dueck

Countries citing papers authored by Alan Wee‐Chung Liew

Since Specialization

Citations

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

Fields of papers citing papers by Alan Wee‐Chung Liew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Wee‐Chung Liew. 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 Alan Wee‐Chung Liew. The network helps show where Alan Wee‐Chung Liew may publish in the future.

Co-authorship network of co-authors of Alan Wee‐Chung Liew

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Wee‐Chung Liew. A scholar is included among the top collaborators of Alan Wee‐Chung Liew 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 Alan Wee‐Chung Liew. Alan Wee‐Chung Liew 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

Nguyên, Thành Tâm, Thanh Trung Huynh, Zhao Ren, et al.. (2025). A Survey of Machine Unlearning. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–46. 12 indexed citations

Jin, Ming, Yufei Tang, Laurent M. Chérubin, et al.. (2025). OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. 5822–5830.

Nguyen, Tien Thanh, et al.. (2024). Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers. Cognitive Computation. 17(1). 3 indexed citations

Ji, Y. Y., et al.. (2024). Galformer: a transformer with generative decoding and a hybrid loss function for multi-step stock market index prediction. Scientific Reports. 14(1). 23762–23762. 8 indexed citations

Zhou, Jun, et al.. (2024). LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 39 indexed citations

Pan, Shirui, et al.. (2024). Knowledge Graphs and Pretrained Language Models Enhanced Representation Learning for Conversational Recommender Systems. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6107–6121. 3 indexed citations

Nguyên, Thành Tâm, Thanh Toan Nguyen, Matthias Weidlich, et al.. (2024). Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer. IEEE Transactions on Knowledge and Data Engineering. 37(1). 334–350.

Qazani, Mohammad Reza Chalak, Houshyar Asadi, Muhammad Zakarya, et al.. (2023). A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Transactions on Intelligent Transportation Systems. 25(6). 5112–5121. 1 indexed citations

Kazemi, Seyedeh Alieh, et al.. (2023). Halogenation effect on physicochemical properties of Ti₃C₂ MXenes. Journal of Physics Materials. 6(3). 35004–35004. 14 indexed citations

10.

Zhou, Lingxiao, Jie Li, Junjie Shao, et al.. (2023). Aided diagnosis of thyroid nodules based on an all-optical diffraction neural network. Quantitative Imaging in Medicine and Surgery. 13(9). 5713–5726. 3 indexed citations

11.

Li, Bin, et al.. (2023). Predicting the returns of the US real estate investment trust market: evidence from the group method of data handling neural network. Financial Innovation. 9(1). 7 indexed citations

12.

Zhang, Leo Yu, et al.. (2023). Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. Griffith Research Online (Griffith University, Queensland, Australia). 4567–4575. 8 indexed citations

13.

Tian, Hui, et al.. (2020). Improved Ensemble Classification for Evolving Data Streams. IEEE Intelligent Systems. 37(1). 38–50. 1 indexed citations

14.

Huang, Qinghua, et al.. (2019). Automated Trading Point Forecasting Based on Bicluster Mining and Fuzzy Inference. IEEE Transactions on Fuzzy Systems. 28(2). 259–272. 28 indexed citations

15.

Wang, Yun, Xu Liu, Junxian Liu, et al.. (2018). Electrolyte Effect on Electrocatalytic Hydrogen Evolution Performance of One-Dimensional Cobalt–Dithiolene Metal–Organic Frameworks: A Theoretical Perspective. ACS Applied Energy Materials. 1(4). 1688–1694. 31 indexed citations

16.

Chan, Kate Ching Ching, Lin Shi, Hung‐Kwan So, et al.. (2014). Neurocognitive dysfunction and grey matter density deficit in children with obstructive sleep apnoea. Sleep Medicine. 15(9). 1055–1061. 62 indexed citations

17.

Liew, Alan Wee‐Chung, et al.. (2012). The digital museum: Challenges and solution. Griffith Research Online (Griffith University, Queensland, Australia). 3. 646–649. 16 indexed citations

18.

Liew, Alan Wee‐Chung, et al.. (2005). Human face animation based on video analysis, with applications to mobile entertainment. Journal of Multimedia. 1(2). 133–148. 3 indexed citations

19.

Yeung, Lap K., et al.. (2004). Measuring correlation between microarray time-series data using dominant spectral component. Griffith Research Online (Griffith University, Queensland, Australia). 309–314. 7 indexed citations

20.

Rubel, Iván Federico, Peter Kloen, Deirdre Campbell, et al.. (2002). Open Reduction and Internal Fixation of Humeral Nonunions. Journal of Bone and Joint Surgery. 84(8). 1315–1322. 102 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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