Yiliao Song

1.5k total citations
32 papers, 1.1k citations indexed

About

Yiliao Song is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Yiliao Song has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Yiliao Song's work include Data Stream Mining Techniques (16 papers), Machine Learning and Data Classification (11 papers) and Energy Load and Power Forecasting (6 papers). Yiliao Song is often cited by papers focused on Data Stream Mining Techniques (16 papers), Machine Learning and Data Classification (11 papers) and Energy Load and Power Forecasting (6 papers). Yiliao Song collaborates with scholars based in Australia, China and Canada. Yiliao Song's co-authors include Feng Liu, Jie Lü, Jianzhou Wang, Guangquan Zhang, Ru Hou, Anjin Liu, Ping Jiang, Shanshan Qin, Haiyan Lu and Jiansheng Qu and has published in prestigious journals such as Nano Letters, Renewable and Sustainable Energy Reviews and Atmospheric Environment.

In The Last Decade

Yiliao Song

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiliao Song Australia 17 494 481 212 171 104 32 1.1k
Chengqing Yu China 19 295 0.6× 447 0.9× 155 0.7× 202 1.2× 156 1.5× 43 1.0k
Emilio G. Ortiz‐García Spain 15 324 0.7× 480 1.0× 98 0.5× 246 1.4× 38 0.4× 39 940
J. F. Torres Spain 11 316 0.6× 445 0.9× 234 1.1× 148 0.9× 131 1.3× 22 1.1k
Roberto Corizzo United States 18 446 0.9× 178 0.4× 75 0.4× 159 0.9× 39 0.4× 64 990
Hansika Hewamalage Australia 5 252 0.5× 310 0.6× 285 1.3× 136 0.8× 83 0.8× 6 995
Jiazheng Li China 7 179 0.4× 311 0.6× 450 2.1× 172 1.0× 53 0.5× 12 971
Ángel M. Pérez‐Bellido Spain 15 347 0.7× 543 1.1× 108 0.5× 175 1.0× 32 0.3× 36 953
Paulo S. G. de Mattos Neto Brazil 17 261 0.5× 362 0.8× 294 1.4× 182 1.1× 45 0.4× 58 847
Xueheng Qiu Singapore 11 312 0.6× 544 1.1× 292 1.4× 104 0.6× 91 0.9× 14 973
Tao Xiong China 11 246 0.5× 297 0.6× 280 1.3× 104 0.6× 76 0.7× 17 841

Countries citing papers authored by Yiliao Song

Since Specialization
Citations

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

Fields of papers citing papers by Yiliao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiliao Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yiliao Song. A scholar is included among the top collaborators of Yiliao 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 Yiliao Song. Yiliao 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.
Ma, Wanlun, Derui Wang, Yiliao Song, et al.. (2025). TrapNet: Model Inversion Defense via Trapdoor. IEEE Transactions on Information Forensics and Security. 20. 4469–4483.
2.
Ma, Wanlun, Yiliao Song, Minhui Xue, Sheng Wen, & Yang Xiang. (2024). The “Code” of Ethics: A Holistic Audit of AI Code Generators. IEEE Transactions on Dependable and Secure Computing. 21(5). 4997–5013. 6 indexed citations
3.
Abbasnejad, Behzad, Araz Nasirian, Sophia Xiaoxia Duan, et al.. (2024). Measuring BIM Implementation: A Mathematical Modeling and Artificial Neural Network Approach. Journal of Construction Engineering and Management. 150(5). 4 indexed citations
4.
Yu, Hang, et al.. (2023). Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. IEEE Transactions on Knowledge and Data Engineering. 36(12). 9476–9489. 12 indexed citations
5.
Wang, Kun, Jie Lü, Anjin Liu, et al.. (2022). Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing. 491. 288–304. 34 indexed citations
6.
Liao, Jiayan, Jiajia Zhou, Yiliao Song, et al.. (2021). Preselectable Optical Fingerprints of Heterogeneous Upconversion Nanoparticles. Nano Letters. 21(18). 7659–7668. 31 indexed citations
7.
Dong, Fan, Jie Lü, Yiliao Song, Feng Liu, & Guangquan Zhang. (2021). A Drift Region-Based Data Sample Filtering Method. IEEE Transactions on Cybernetics. 52(9). 9377–9390. 16 indexed citations
8.
Liu, Baolei, Jiayan Liao, Yiliao Song, et al.. (2021). Multiplexed structured illumination super-resolution imaging with lifetime-engineered upconversion nanoparticles. Nanoscale Advances. 4(1). 30–38. 16 indexed citations
9.
Song, Yiliao, Jie Lü, Haiyan Lu, & Guangquan Zhang. (2021). Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 3952–3965. 28 indexed citations
10.
Liao, Jiayan, Jiajia Zhou, Yiliao Song, et al.. (2021). Optical Fingerprint Classification of Single Upconversion Nanoparticles by Deep Learning. The Journal of Physical Chemistry Letters. 12(41). 10242–10248. 16 indexed citations
11.
Song, Yiliao, Jie Lü, Anjin Liu, Haiyan Lu, & Guangquan Zhang. (2021). A Segment-Based Drift Adaptation Method for Data Streams. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4876–4889. 25 indexed citations
12.
Zhou, Ming, Yiliao Song, Guangquan Zhang, Bin Zhang, & Jie Lü. (2021). An Efficient Bayesian Neural Network for Multiple Data Streams. 1–8. 3 indexed citations
13.
Song, Yiliao, Guangquan Zhang, Haiyan Lu, & Jie Lü. (2020). A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. 1–6. 8 indexed citations
14.
Lü, Jie, Anjin Liu, Yiliao Song, & Guangquan Zhang. (2019). Data-driven decision support under concept drift in streamed big data. Complex & Intelligent Systems. 6(1). 157–163. 60 indexed citations
15.
Song, Yiliao, Guangquan Zhang, Haiyan Lu, & Jie Lü. (2019). A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. 11. 1–6. 8 indexed citations
16.
Song, Yiliao, Guangquan Zhang, Haiyan Lu, & Jie Lü. (2018). A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. 27. 1–8. 4 indexed citations
17.
Jiang, Ping, Feng Liu, Jianzhou Wang, & Yiliao Song. (2016). Cuckoo search-designated fractal interpolation functions with winner combination for estimating missing values in time series. Applied Mathematical Modelling. 40(23-24). 9692–9718. 23 indexed citations
18.
Jiang, Ping, Feng Liu, & Yiliao Song. (2016). A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting. Energy. 119. 694–709. 104 indexed citations
19.
Song, Yiliao, Yong Wang, Feng Liu, & Yixin Zhang. (2016). Development of a hybrid model to predict construction and demolition waste: China as a case study. Waste Management. 59. 350–361. 71 indexed citations
20.
Zhang, Zhongrong, Yiliao Song, Feng Liu, & Jinpeng Liu. (2016). Daily Average Wind Power Interval Forecasts Based on an Optimal Adaptive-Network-Based Fuzzy Inference System and Singular Spectrum Analysis. Sustainability. 8(2). 125–125. 9 indexed citations

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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