Simon See
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
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- Advanced Neural Network Applications
Papers in
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- Topic Modeling 13
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- Distributed and Parallel Computing Systems 32
- Advanced Data Storage Technologies 13
- Co-authors
- Jianxiong Yin (17 shared papers)Eugene Ch’ng (12 shared papers)Lei Ma (3 shared papers)Yong Meng Teo (6 shared papers)Felix Juefei-Xu (2 shared papers)Minhui Xue (2 shared papers)Xiaofei Xie (2 shared papers)Jianjun Zhao (2 shared papers)
- Journals
- Industrial Management & Data Systems (3 papers)Mathematical and Computer Modelling (2 papers)Computer Modeling in Engineering & Sciences (2 papers)Computational Mechanics (2 papers)Frontiers in Psychiatry (1 paper)
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Simon See
136 papers receiving 1.8k citations
Simon See's Hit Papers
Peers
Comparison fields: 5 of 145
- Software 160
- Computer Vision and Pattern Recognition 582
- Hardware and Architecture 192
- Artificial Intelligence 654
- Computer Networks and Communications 411
Countries citing papers authored by Simon See
This map shows the geographic impact of Simon See'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 See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon See more than expected).
Fields of papers citing papers by Simon See
This network shows the impact of papers produced by Simon See. 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 See. The network helps show where Simon See may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon See, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepHunter: a coverage-guided fuzz testing framework for deep neural networks Hit paper breakdown → | 2019 | 287 |
| 2 | 2016 | 120 | |
| 3 | 2005 | 73 | |
| 4 | 2023 | 64 | |
| 5 | 2015 | 51 | |
| 6 | 2018 | 45 | |
| 7 | 2008 | 39 | |
| 8 | 2012 | 38 | |
| 9 | 2021 | 38 | |
| 10 | 2023 | 37 | |
| 11 | 2023 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2011 | 33 | |
| 14 | 2018 | 31 | |
| 15 | 2024 | 30 | |
| 16 | 2021 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2023 | 29 | |
| 19 | 2017 | 28 | |
| 20 | 2023 | 27 |
About Simon See
Simon See is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Hardware and Architecture, having authored 151 papers that have together received 1.9k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (32 papers), Parallel Computing and Optimization Techniques (23 papers), Advanced Neural Network Applications (14 papers), Cloud Computing and Resource Management (14 papers), Topic Modeling (13 papers), Advanced Data Storage Technologies (13 papers), Human Pose and Action Recognition (12 papers) and Scientific Computing and Data Management (11 papers). The work is most often cited by research in Software (160 citations), Computer Vision and Pattern Recognition (582 citations), Hardware and Architecture (192 citations), Artificial Intelligence (654 citations) and Computer Networks and Communications (411 citations). Simon See has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Jianxiong Yin, Eugene Ch’ng, Lei Ma, Yong Meng Teo, Felix Juefei-Xu, Minhui Xue, Xiaofei Xie, Jianjun Zhao, Yang Liu and Bo Li. Their work appears in journals such as Industrial Management & Data Systems, Mathematical and Computer Modelling, Computer Modeling in Engineering & Sciences, Computational Mechanics and Frontiers in Psychiatry.
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.