Andy Song
Impact in
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- Vehicle Routing Optimization Methods
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Reservoir Computing
Papers in
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- Evolutionary Algorithms and Applications 31
- Metaheuristic Optimization Algorithms Research 27
- Machine Learning and Data Classification 6
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- Advanced Vision and Imaging 6
- Co-authors
- Athman Bouguettaya (3 shared papers)Nasser R. Sabar (15 shared papers)Qi Yu (1 shared paper)Xumin Liu (1 shared paper)Xiangmin Zhou (1 shared paper)Feng Gao (2 shared papers)G. Q. Lo (2 shared papers)Xianshu Luo (2 shared papers)
- Journals
- IEEE Access (2 papers)Swarm and Evolutionary Computation (2 papers)Expert Systems with Applications (2 papers)INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- AustraliaNew ZealandChina
In The Last Decade
Andy Song
71 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Industrial and Manufacturing Engineering 207
- Artificial Intelligence 657
- Computer Vision and Pattern Recognition 233
- Electrical and Electronic Engineering 603
- Atomic and Molecular Physics, and Optics 267
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 76 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 | 559 |
| 2 | Efficient agglomerative hierarchical clustering Hit paper breakdown → | 2014 | 301 |
| 3 | 2015 | 76 | |
| 4 | 2018 | 74 | |
| 5 | 2012 | 53 | |
| 6 | 2016 | 40 | |
| 7 | 2020 | 38 | |
| 8 | 2018 | 32 | |
| 9 | 2020 | 28 | |
| 10 | 2008 | 27 | |
| 11 | 2015 | 25 | |
| 12 | 2003 | 25 | |
| 13 | 2016 | 24 | |
| 14 | 2012 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2005 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2014 | 16 |
About Andy Song
Andy Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computer Networks and Communications and Plant Science, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (31 papers), Metaheuristic Optimization Algorithms Research (27 papers), Smart Agriculture and AI (11 papers), Vehicle Routing Optimization Methods (7 papers), Optimization and Packing Problems (6 papers), Machine Learning and Data Classification (6 papers), Advanced Vision and Imaging (6 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (207 citations), Artificial Intelligence (657 citations), Computer Vision and Pattern Recognition (233 citations), Electrical and Electronic Engineering (603 citations) and Atomic and Molecular Physics, and Optics (267 citations). Andy Song has collaborated with scholars based in Australia, New Zealand and China. Frequent co-authors include Athman Bouguettaya, Nasser R. Sabar, Qi Yu, Xumin Liu, Xiangmin Zhou, Feng Gao, G. Q. Lo, Xianshu Luo, Vic Ciesielski and Bin Dong. Their work appears in journals such as IEEE Access, Swarm and Evolutionary Computation, Expert Systems with Applications, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and Knowledge-Based Systems.
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.