Changyue Song

1.1k total citations
20 papers, 840 citations indexed

About

Changyue Song is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Physiology. According to data from OpenAlex, Changyue Song has authored 20 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 9 papers in Safety, Risk, Reliability and Quality and 5 papers in Physiology. Recurrent topics in Changyue Song's work include Fault Detection and Control Systems (9 papers), Reliability and Maintenance Optimization (9 papers) and Machine Fault Diagnosis Techniques (8 papers). Changyue Song is often cited by papers focused on Fault Detection and Control Systems (9 papers), Reliability and Maintenance Optimization (9 papers) and Machine Fault Diagnosis Techniques (8 papers). Changyue Song collaborates with scholars based in United States and China. Changyue Song's co-authors include Kaibo Liu, Xi Zhang, Abdallah Chehade, Xiaochen Xian, Lili Chen, Abhinav Saxena, Xue Li, Xiuhua Yang, Hongyuan Liu and Di Wang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Changyue Song

19 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changyue Song United States 10 326 255 247 184 140 20 840
Bahareh Pourbabaee Canada 8 226 0.7× 16 0.1× 24 0.1× 129 0.7× 199 1.4× 11 666
Mehrsan Javan Canada 14 264 0.8× 28 0.1× 5 0.0× 178 1.0× 170 1.2× 26 1.1k
Hisham ElMoaqet Jordan 12 73 0.2× 13 0.1× 102 0.4× 88 0.5× 54 0.4× 44 459
Xiaomao Fan China 16 35 0.1× 13 0.1× 77 0.3× 353 1.9× 529 3.8× 67 1.3k
Hafeez Ur Rehman Siddiqui Pakistan 17 44 0.1× 18 0.1× 8 0.0× 159 0.9× 37 0.3× 45 696
Won‐Sook Lee Canada 15 52 0.2× 16 0.1× 16 0.1× 56 0.3× 114 0.8× 72 666
Emanuele Principi Italy 18 258 0.8× 14 0.1× 11 0.0× 103 0.6× 33 0.2× 75 1.2k
M. K. Bhuyan India 19 146 0.4× 13 0.1× 6 0.0× 420 2.3× 67 0.5× 181 1.6k
Marcos Rodrigues United Kingdom 15 67 0.2× 23 0.1× 46 0.2× 79 0.4× 16 0.1× 87 852
Fouad Bennis France 18 237 0.7× 14 0.1× 6 0.0× 267 1.5× 39 0.3× 56 945

Countries citing papers authored by Changyue Song

Since Specialization
Citations

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

Fields of papers citing papers by Changyue Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyue Song

This figure shows the co-authorship network connecting the top 25 collaborators of Changyue Song. A scholar is included among the top collaborators of Changyue 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 Changyue Song. Changyue 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.
Wang, Di, et al.. (2025). Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels. IEEE Transactions on Automation Science and Engineering. 22. 15227–15240.
2.
Song, Changyue, et al.. (2024). Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection. IEEE Open Journal of Engineering in Medicine and Biology. 5. 792–802. 1 indexed citations
3.
Song, Changyue, et al.. (2024). COSMIC-2 RFI Prediction Model Based on CNN-BiLSTM-Attention for Interference Detection and Location. Sensors. 24(23). 7745–7745. 1 indexed citations
4.
Wang, Di, Changyue Song, & Xi Zhang. (2023). Multimodal regression and mode recognition via an integrated deep neural network. IISE Transactions. 56(10). 1021–1037. 2 indexed citations
5.
Wang, Di, Xiaochen Xian, & Changyue Song. (2023). Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes. IEEE Transactions on Automation Science and Engineering. 21(2). 1421–1433. 19 indexed citations
6.
Song, Changyue, Kaibo Liu, & Xi Zhang. (2021). Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks. Journal of Machine Learning Research. 22(190). 1–45. 2 indexed citations
7.
Song, Changyue, et al.. (2021). Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information. IEEE Transactions on Automation Science and Engineering. 19(3). 2079–2094. 7 indexed citations
8.
Song, Changyue, et al.. (2021). Building Local Models for Flexible Degradation Modeling and Prognostics. IEEE Transactions on Automation Science and Engineering. 19(4). 3483–3495. 4 indexed citations
9.
Song, Changyue, et al.. (2019). A Generic Health Index Approach for Multisensor Degradation Modeling and Sensor Selection. IEEE Transactions on Automation Science and Engineering. 16(3). 1426–1437. 52 indexed citations
10.
Song, Changyue, Kaibo Liu, & Xi Zhang. (2019). A generic framework for multisensor degradation modeling based on supervised classification and failure surface. IISE Transactions. 51(11). 1288–1302. 23 indexed citations
11.
Liu, Hongyuan, et al.. (2018). Overexpression of circular RNA circ_001569 indicates poor prognosis in hepatocellular carcinoma and promotes cell growth and metastasis by sponging miR-411-5p and miR-432-5p. Biochemical and Biophysical Research Communications. 503(4). 2659–2665. 65 indexed citations
12.
Chehade, Abdallah, Changyue Song, Kaibo Liu, Abhinav Saxena, & Xi Zhang. (2018). A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes. Journal of Quality Technology. 50(2). 150–165. 65 indexed citations
13.
Song, Changyue & Kaibo Liu. (2018). Statistical degradation modeling and prognostics of multiple sensor signals via data fusion: A composite health index approach. IISE Transactions. 50(10). 853–867. 70 indexed citations
14.
Song, Changyue, Kaibo Liu, & Xi Zhang. (2017). Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis. IEEE Transactions on Reliability. 67(2). 640–650. 86 indexed citations
15.
Song, Changyue, Kaibo Liu, Xi Zhang, Lili Chen, & Xiaochen Xian. (2015). An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals. IEEE Transactions on Biomedical Engineering. 63(7). 1532–1542. 188 indexed citations
16.
Liu, Kaibo, Abdallah Chehade, & Changyue Song. (2015). Optimize the Signal Quality of the Composite Health  Index via Data Fusion for Degradation Modeling  and Prognostic Analysis. IEEE Transactions on Automation Science and Engineering. 14(3). 1504–1514. 122 indexed citations
17.
Zhang, Xi, et al.. (2014). An Automatic Screening Approach for Obstructive Sleep Apnea Diagnosis Based on Single-Lead Electrocardiogram. IEEE Transactions on Automation Science and Engineering. 12(1). 106–115. 120 indexed citations
18.
Chen, Lili, Xi Zhang, & Changyue Song. (2013). A severity measurement system for obstructive sleep apnea discrimination using a single ECG signal. 37. 1–6. 2 indexed citations
19.
Song, Changyue, Peijun Li, & Fan Yang. (2006). Multivariate Texture Measured by Local Binary Pattern for Multispectral Image Classification. 37. 2145–2148. 3 indexed citations
20.
Song, Changyue & Lawrence H. Landweber. (1988). Optimizing bulk data transfer performance: a packet train model. 134–145. 8 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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