Chin‐Chia Michael Yeh

2.2k total citations · 1 hit paper
52 papers, 1.2k citations indexed

About

Chin‐Chia Michael Yeh is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin‐Chia Michael Yeh has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin‐Chia Michael Yeh's work include Time Series Analysis and Forecasting (21 papers), Music and Audio Processing (15 papers) and Anomaly Detection Techniques and Applications (10 papers). Chin‐Chia Michael Yeh is often cited by papers focused on Time Series Analysis and Forecasting (21 papers), Music and Audio Processing (15 papers) and Anomaly Detection Techniques and Applications (10 papers). Chin‐Chia Michael Yeh collaborates with scholars based in United States, Taiwan and Brazil. Chin‐Chia Michael Yeh's co-authors include Eamonn Keogh, Yan Zhu, Abdullah Mueen, Yifei Ding, Liudmila Ulanova, Diego Furtado Silva, Hoang Anh Dau, Zachary Zimmerman, Nurjahan Begum and Yi‐Hsuan Yang and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Multimedia and Proceedings of the VLDB Endowment.

In The Last Decade

Chin‐Chia Michael Yeh

48 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets

2016 350 citations Chin‐Chia Michael Yeh, Yan Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chin‐Chia Michael Yeh United States	17	761	715	235	176	134	52	1.2k
Thanawin Rakthanmanon United States	16	1.2k 1.6×	879 1.2×	230 1.0×	262 1.5×	105 0.8×	35	1.7k
Jesin Zakaria United States	10	917 1.2×	611 0.9×	175 0.7×	187 1.1×	81 0.6×	11	1.2k
Yan Zhu United States	17	698 0.9×	647 0.9×	162 0.7×	184 1.0×	288 2.1×	45	1.3k
Bilson Campana United States	10	763 1.0×	493 0.7×	183 0.8×	133 0.8×	68 0.5×	15	1.1k
Liudmila Ulanova United States	10	489 0.6×	414 0.6×	105 0.4×	117 0.7×	102 0.8×	11	759
John Paparrizos United States	18	893 1.2×	891 1.2×	108 0.5×	233 1.3×	290 2.2×	44	1.5k
S. Chu United States	3	428 0.6×	308 0.4×	114 0.5×	82 0.5×	99 0.7×	7	740
Vincent Oria United States	12	1.0k 1.3×	419 0.6×	447 1.9×	67 0.4×	212 1.6×	66	1.4k
Hoang Anh Dau United States	10	486 0.6×	437 0.6×	99 0.4×	114 0.6×	76 0.6×	12	721
Ye Zhu Australia	18	166 0.2×	474 0.7×	197 0.8×	72 0.4×	145 1.1×	78	970

Countries citing papers authored by Chin‐Chia Michael Yeh

Since Specialization

Citations

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

Fields of papers citing papers by Chin‐Chia Michael Yeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Chia Michael Yeh. 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 Chin‐Chia Michael Yeh. The network helps show where Chin‐Chia Michael Yeh may publish in the future.

Co-authorship network of co-authors of Chin‐Chia Michael Yeh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yeh, Chin‐Chia Michael, Yujie Fan, Vivian Lai, et al.. (2024). RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. 3919–3930. 1 indexed citations

Chen, Huiyuan, Zhe Xu, Chin‐Chia Michael Yeh, et al.. (2024). Masked Graph Transformer for Large-Scale Recommendation. arXiv (Cornell University). 2502–2506. 3 indexed citations

Fan, Yujie, et al.. (2024). Revealing the Power of Masked Autoencoders in Traffic Forecasting. 4071–4075. 4 indexed citations

Yeh, Chin‐Chia Michael, Vivian Lai, Yan Zheng, et al.. (2024). Matrix Profile for Anomaly Detection on Multidimensional Time Series. 911–916. 1 indexed citations

Fan, Yujie, et al.. (2023). Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. 504–513. 5 indexed citations

Yeh, Chin‐Chia Michael, Huiyuan Chen, Yan Zheng, et al.. (2023). An Efficient Content-based Time Series Retrieval System. 4909–4915.

Yeh, Chin‐Chia Michael, Huiyuan Chen, Yan Zheng, et al.. (2023). Toward a Foundation Model for Time Series Data. 4400–4404. 9 indexed citations

Chen, Huiyuan, Chin‐Chia Michael Yeh, Yujie Fan, et al.. (2023). Sharpness-Aware Graph Collaborative Filtering. 2369–2373. 4 indexed citations

Yeh, Chin‐Chia Michael, Yan Zheng, Junpeng Wang, et al.. (2023). Time Series Synthesis Using the Matrix Profile for Anonymization. 1908–1911. 1 indexed citations

10.

Chen, Huiyuan, Kaixiong Zhou, Zhimeng Jiang, et al.. (2023). Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. 2068–2076. 4 indexed citations

11.

Dev, Sunipa, Jeff M. Phillips, Vivek Srikumar, et al.. (2023). VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Transactions on Interactive Intelligent Systems. 14(1). 1–34. 6 indexed citations

12.

Yeh, Chin‐Chia Michael, Mengting Gu, Yan Zheng, et al.. (2022). Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4391–4401. 3 indexed citations

13.

Gu, Mengting, et al.. (2022). Dynamic Graph Node Classification via Time Augmentation. 2022 IEEE International Conference on Big Data (Big Data). 800–805. 2 indexed citations

14.

Wang, Junpeng, et al.. (2021). Visual Analytics for RNN-Based Deep Reinforcement Learning. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4141–4155. 30 indexed citations

15.

Zhu, Yan, Chin‐Chia Michael Yeh, Zachary Zimmerman, & Eamonn Keogh. (2020). Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. 1846–1849. 2 indexed citations

16.

Zhu, Yan, Diego Furtado Silva, Hoang Anh Dau, et al.. (2020). The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. Data Mining and Knowledge Discovery. 34(4). 949–979. 19 indexed citations

17.

Zhu, Yan, Zachary Zimmerman, Nader Shakibay Senobari, et al.. (2017). Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. Knowledge and Information Systems. 54(1). 203–236. 24 indexed citations

18.

Yeh, Chin‐Chia Michael, Yan Zhu, Liudmila Ulanova, et al.. (2016). Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. 1317–1322. 350 indexed citations breakdown →

19.

Su, Li, Chin‐Chia Michael Yeh, Jen-Yu Liu, Ju-Chiang Wang, & Yi‐Hsuan Yang. (2014). A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Transactions on Multimedia. 16(5). 1188–1200. 34 indexed citations

20.

Yeh, Chin‐Chia Michael, et al.. (2014). Mediating effects between World Games identification and licensed merchandise. Managing Service Quality. 24(4). 384–398. 7 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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