Andy Song
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Reservoir Computing
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- Vehicle Routing Optimization Methods
Papers in
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- Evolutionary Algorithms and Applications 39
- Metaheuristic Optimization Algorithms Research 37
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- Advanced Vision and Imaging 8
- Advanced Neural Network Applications 7
- Co-authors
- Nasser R. Sabar (29 shared papers)Athman Bouguettaya (4 shared papers)Vic Ciesielski (20 shared papers)Xumin Liu (1 shared paper)Qi Yu (1 shared paper)Xiangmin Zhou (1 shared paper)Ayad Turky (19 shared papers)G. Q. Lo (2 shared papers)
- Journals
- Lecture notes in computer science (34 papers)IEEE Access (2 papers)Soft Computing (2 papers)Expert Systems with Applications (2 papers)Swarm and Evolutionary Computation (2 papers)
- Partner nations
- AustraliaNew ZealandChina
In The Last Decade
Andy Song
106 papers receiving 2.1k citations
Andy Song's Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 930
- Industrial and Manufacturing Engineering 268
- Computer Vision and Pattern Recognition 315
- Electrical and Electronic Engineering 664
- Signal Processing 126
Countries citing papers authored by Andy Song
This map shows the geographic impact of Andy Song'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 Andy Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Song more than expected).
Fields of papers citing papers by Andy Song
This network shows the impact of papers produced by Andy Song. 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 Andy Song. The network helps show where Andy Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy Song, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review of Silicon Photonics Technology and Platform Development Hit paper breakdown → | 2021 | 603 |
| 2 | Efficient agglomerative hierarchical clustering Hit paper breakdown → | 2014 | 334 |
| 3 | 2015 | 92 | |
| 4 | 2018 | 78 | |
| 5 | 2012 | 63 | |
| 6 | 2014 | 55 | |
| 7 | 2016 | 47 | |
| 8 | 2018 | 41 | |
| 9 | 2020 | 38 | |
| 10 | 2001 | 36 | |
| 11 | 2003 | 35 | |
| 12 | 2020 | 34 | |
| 13 | 2008 | 33 | |
| 14 | 2012 | 28 | |
| 15 | 2015 | 27 | |
| 16 | 2016 | 25 | |
| 17 | 2019 | 24 | |
| 18 | 2014 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2005 | 21 |
About Andy Song
Andy Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Industrial and Manufacturing Engineering and Plant Science, having authored 113 papers that have together received 2.2k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (39 papers), Metaheuristic Optimization Algorithms Research (37 papers), Smart Agriculture and AI (11 papers), Optimization and Search Problems (10 papers), Vehicle Routing Optimization Methods (9 papers), Optimization and Packing Problems (8 papers), Advanced Vision and Imaging (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Artificial Intelligence (930 citations), Industrial and Manufacturing Engineering (268 citations), Computer Vision and Pattern Recognition (315 citations), Electrical and Electronic Engineering (664 citations) and Signal Processing (126 citations). Andy Song has collaborated with scholars based in Australia, New Zealand and China. Frequent co-authors include Nasser R. Sabar, Athman Bouguettaya, Vic Ciesielski, Xumin Liu, Qi Yu, Xiangmin Zhou, Ayad Turky, G. Q. Lo, Feng Gao and Xianshu Luo. Their work appears in journals such as Lecture notes in computer science, IEEE Access, Soft Computing, Expert Systems with Applications and Swarm and Evolutionary Computation.
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.