Andy Song

3.1k total citations · 2 hit papers
76 papers, 1.7k citations indexed

About

Andy Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Andy Song has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Andy Song's work include Evolutionary Algorithms and Applications (31 papers), Metaheuristic Optimization Algorithms Research (27 papers) and Smart Agriculture and AI (11 papers). Andy Song is often cited by papers focused on Evolutionary Algorithms and Applications (31 papers), Metaheuristic Optimization Algorithms Research (27 papers) and Smart Agriculture and AI (11 papers). Andy Song collaborates with scholars based in Australia, New Zealand and China. Andy Song's co-authors include Athman Bouguettaya, Nasser R. Sabar, Qi Yu, Xiangmin Zhou, Xumin Liu, G. Q. Lo, Xianshu Luo, Feng Gao, Vic Ciesielski and Ayad Turky and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Andy Song

71 papers receiving 1.6k citations

Hit Papers

Review of Silicon Photonics Technol... 2014 2026 2018 2022 2021 2014 100 200 300 400 500
What are hit papers?

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.

  1. Review of Silicon Photonics Technology and Platform Development
    2021 559 citations Shawn Yohanes Siew, Feng Gao et al. Journal of Lightwave Technology profile →
  2. Efficient agglomerative hierarchical clustering
    2014 301 citations Andy Song et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andy Song Australia 18 657 603 267 233 207 76 1.7k
H. P. Lee Singapore 17 524 0.8× 337 0.6× 348 1.3× 183 0.8× 317 1.5× 29 2.3k
Conor Ryan Ireland 21 1.6k 2.4× 361 0.6× 154 0.6× 203 0.9× 70 0.3× 190 2.7k
Zhenkun Wang China 28 950 1.4× 245 0.4× 205 0.8× 180 0.8× 170 0.8× 118 2.1k
Ying Wu China 19 150 0.2× 581 1.0× 246 0.9× 255 1.1× 75 0.4× 75 1.7k
Jin Li China 20 528 0.8× 477 0.8× 57 0.2× 343 1.5× 59 0.3× 130 1.6k
Jia Zeng China 19 419 0.6× 177 0.3× 63 0.2× 214 0.9× 131 0.6× 79 1.2k
Lianglun Cheng China 21 382 0.6× 235 0.4× 90 0.3× 410 1.8× 99 0.5× 215 1.6k
Hongjun Wang China 17 294 0.4× 243 0.4× 103 0.4× 259 1.1× 58 0.3× 156 1.2k

Countries citing papers authored by Andy Song

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andy Song

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Song. A scholar is included among the top collaborators of Andy Song 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 Andy Song. Andy Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tang, Tao, et al.. (2024). MLP Can Be a Good Transformer Learner. 19489–19498. 6 indexed citations
3.
Shao, Wei, Yu Zhang, Mohammad Saiedur Rahaman, et al.. (2023). Transferrable contextual feature clusters for parking occupancy prediction. Pervasive and Mobile Computing. 97. 101831–101831. 5 indexed citations
4.
Song, Andy, et al.. (2023). Intelligent Head-Mounted Obstacle Avoidance Wearable for the Blind and Visually Impaired. Sensors. 23(23). 9598–9598. 2 indexed citations
5.
Song, Andy, et al.. (2023). Investigating chimeric antigen receptor T cell therapy and the potential for cancer immunotherapy (Review). Molecular and Clinical Oncology. 19(6). 95–95. 1 indexed citations
6.
Song, Andy, et al.. (2023). Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. Proceedings of the Genetic and Evolutionary Computation Conference. 1257–1266. 2 indexed citations
7.
Song, Andy, et al.. (2022). KDE-GAN. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 268–271.
8.
Sabar, Nasser R., et al.. (2021). Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks. 1–7. 1 indexed citations
9.
10.
Siew, Shawn Yohanes, Feng Gao, Han Zheng, et al.. (2021). Review of Silicon Photonics Technology and Platform Development. Journal of Lightwave Technology. 39(13). 4374–4389. 559 indexed citations breakdown →
11.
Turky, Ayad, Nasser R. Sabar, Simon Dunstall, & Andy Song. (2020). Hyper-heuristic local search for combinatorial optimisation problems. Knowledge-Based Systems. 205. 106264–106264. 28 indexed citations
12.
Sabar, Nasser R., Ayad Turky, Andy Song, & Abdul Sattar. (2019). An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction. Applied Soft Computing. 97. 105510–105510. 20 indexed citations
13.
Song, Andy, et al.. (2017). Towards Intelligent Control in Generative Design. RMIT Research Repository (RMIT University Library). 630–647. 1 indexed citations
14.
Sabar, Nasser R., Ayad Turky, Andy Song, & Abdul Sattar. (2017). Optimising Deep Belief Networks by hyper-heuristic approach. Victoria University Research Repository (Victoria University). 2738–2745. 9 indexed citations
15.
Mei, Yi, et al.. (2015). A restricted neighbourhood Tabu Search for Storage Location Assignment Problem. RMIT Research Repository (RMIT University Library). 2805–2812. 5 indexed citations
16.
Wood, Michael D., Andy Song, David M. Maslove, et al.. (2015). Brain Tissue Oxygenation in Patients with Septic Shock: a Feasibility Study. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 43(1). 65–73. 25 indexed citations
17.
Mei, Yi, et al.. (2015). Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems. 779–780. 1 indexed citations
18.
Sabar, Nasser R., Andy Song, Zahir Tari, Xun Yi, & Albert Y. Zomaya. (2015). A Memetic Algorithm for Dynamic Shortest Path Routing on Mobile Ad-hoc Networks. RMIT Research Repository (RMIT University Library). 8. 60–67. 5 indexed citations
19.
Li, Bing, Andy Song, & Junde Song. (2012). A Distributed QoS-Constraint Task Scheduling Scheme in Cloud Computing Environment: Model and Algorithm. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 4(5). 283–291. 17 indexed citations
20.
Song, Andy, et al.. (2010). Prediction in Dynamic Environment:Robocup Rescue Exploration.

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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