Simon Shiu

3.0k citations
94 papers · 1.8k indexed · h-index 19

Impact in

Papers in

Simon Shiu

90 papers receiving 1.7k citations

Peers

Simon Shiu
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 671
  • Artificial Intelligence 785
  • Information Systems 410
  • Signal Processing 181
  • Media Technology 133
Replace Kalyan Veeramachaneni with:
Kalyan Veeramachaneni United States
Yuan Fang China
Yunhuai Liu China
Qianmu Li China
Yuyu Yin China
El-Sayed M. El-Alfy Saudi Arabia
Xiaohui Hu China
Nadia Nedjah Brazil
Xiangfeng Luo China
Yang Cao China
Simon Shiu relative to Kalyan Veeramachaneni United States Kalyan Veeramachaneni's profile →
Citations per field
00.5×4.3×
Kalyan Veeramachaneni · 1×
Citations per year

Countries citing papers authored by Simon Shiu

Since Specialization
Citations

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

Fields of papers citing papers by Simon Shiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Shiu. 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 Simon Shiu. The network helps show where Simon Shiu may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Shiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Shiu Line = papers co-authored together Simon Shiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014260
2 2004190
3
Foundations of soft case-based reasoning
2004168
4 2012109
5 2011100
6 201395
7 201288
8 201179
9 200651
10 200447
11 201144
12 201436
13 200833
14 200530
15 200130
16 201629
17 201029
18 201327
19 200822
20 201116

About Simon Shiu

Simon Shiu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Computational Theory and Mathematics, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (14 papers), Access Control and Trust (13 papers), Information and Cyber Security (12 papers), Face and Expression Recognition (9 papers), Cloud Data Security Solutions (9 papers), Business Process Modeling and Analysis (9 papers), Artificial Intelligence in Games (8 papers) and Petri Nets in System Modeling (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (671 citations), Artificial Intelligence (785 citations), Information Systems (410 citations), Signal Processing (181 citations) and Media Technology (133 citations). Simon Shiu has collaborated with scholars based in Hong Kong, United Kingdom and United States. Frequent co-authors include Sankar K. Pal, Lei Zhang, Meng Yang, David Zhang, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo, Chun-Hou Zheng, De-Shuang Huang and Marco Casassa Mont. Their work appears in journals such as Pattern Recognition, Applied Intelligence, Soft Computing, Journal of Intelligent & Fuzzy Systems and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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