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 Graph Neural Network Model
20085.1k citationsFranco Scarselli, Ah Chung Tsoi et al.profile →
Face recognition: a convolutional neural-network approach
19972.1k citationsC. Lee Giles, Ah Chung Tsoi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Ah Chung Tsoi'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 Ah Chung Tsoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ah Chung Tsoi more than expected).
This network shows the impact of papers produced by Ah Chung Tsoi. 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 Ah Chung Tsoi. The network helps show where Ah Chung Tsoi may publish in the future.
Co-authorship network of co-authors of Ah Chung Tsoi
This figure shows the co-authorship network connecting the top 25 collaborators of Ah Chung Tsoi.
A scholar is included among the top collaborators of Ah Chung Tsoi 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 Ah Chung Tsoi. Ah Chung Tsoi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tsoi, Ah Chung, et al.. (2013). Cost-Sensitive Cascade Graph Neural Networks. Research Online (University of Wollongong). 527.1 indexed citations
6.
Hagenbuchner, Markus, Giovanni Da San Martino, Ah Chung Tsoi, & Alessandro Sperduti. (2011). Sparsity issues in self-organizing-maps for structures. Research Online (University of Wollongong). 35–40.3 indexed citations
7.
Hagenbuchner, Markus, et al.. (2009). Projection of undirected and non-positional graphs using self organizing maps. Research Online (University of Wollongong).5 indexed citations
8.
Hagenbuchner, Markus, Alessandro Sperduti, & Ah Chung Tsoi. (2008). Self-Organizing Maps for cyclic and unbounded graphs.. The European Symposium on Artificial Neural Networks. 203–208.2 indexed citations
9.
Pucci, Augusto, Marco Gori, Markus Hagenbuchner, Franco Scarselli, & Ah Chung Tsoi. (2006). Investigation into the application of graph neural networks to large-scale recommender systems. Systems Science. 32(4). 17–26.4 indexed citations
10.
Hagenbuchner, Markus, Alessandro Sperduti, & Ah Chung Tsoi. (2005). Contextual Processing of Graphs using Self-Organizing Maps.. Research Padua Archive (University of Padua). 399–404.10 indexed citations
11.
Tsoi, Ah Chung, et al.. (2003). A Simple Focused Crawler.. Use Siena air (University of Siena).9 indexed citations
12.
Hagenbuchner, Markus & Ah Chung Tsoi. (1999). A benchmark for testing adaptive systems on structured data.. The European Symposium on Artificial Neural Networks. 63–68.2 indexed citations
13.
Howarth, Martin, et al.. (1997). Wet ink deposit feature extraction for screen printing process modelling. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository).1 indexed citations
14.
Lawrence, Steve, C. Lee Giles, & Ah Chung Tsoi. (1997). Lessons in neural network training: overfitting may be harder than expected. National Conference on Artificial Intelligence. 540–545.170 indexed citations
15.
Lawrence, Steve, Ah Chung Tsoi, & Andrew D. Back. (1995). The Gamma MLP for Speech Phoneme Recognition. Neural Information Processing Systems. 8. 785–791.9 indexed citations
16.
Tsoi, Ah Chung, et al.. (1993). Classification of Electroencephalogram using Artificial Neural Networks. Neural Information Processing Systems. 6. 1151–1158.43 indexed citations
17.
Lotfi, Ahmad & Ah Chung Tsoi. (1993). Adaptive membership function scheme for fuzzy inference systems. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository).1 indexed citations
18.
Andersen, Hans Christian & Ah Chung Tsoi. (1993). A Constructive Algorithm for the Training of a Multilayer Perceptron Based on the Genetic Algorithm.. Complex Systems. 7.14 indexed citations
19.
Tsoi, Ah Chung. (1991). Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill. Neural Information Processing Systems. 4. 698–705.4 indexed citations
20.
Tsoi, Ah Chung, et al.. (1990). Comparison of three classification techniques: CART, C4.5 and Multi-Layer Perceptrons. Neural Information Processing Systems. 3. 963–969.21 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.