Yuncong Chen

1.2k total citations · 1 hit paper
13 papers, 676 citations indexed

About

Yuncong Chen is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yuncong Chen has authored 13 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Yuncong Chen's work include Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Music and Audio Processing (3 papers). Yuncong Chen is often cited by papers focused on Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Music and Audio Processing (3 papers). Yuncong Chen collaborates with scholars based in United States, China and Japan. Yuncong Chen's co-authors include Wei Cheng, Jingchao Ni, Bo Zong, Dongjin Song, Cristian Lumezanu, Haifeng Chen, Nitesh V. Chawla, Chuxu Zhang, Xinyang Feng and David Kleinfeld and has published in prestigious journals such as Neuron, Nature Methods and arXiv (Cornell University).

In The Last Decade

Yuncong Chen

12 papers receiving 659 citations

Hit Papers

A Deep Neural Network for Unsupervised Anomaly Detection ... 2019 2026 2021 2023 2019 100 200 300 400
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. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
    2019 482 citations Chuxu Zhang, Dongjin Song et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Yuncong Chen
Christos Dimitrakakis Sweden
Eric Liang United States
Chathurika S. Wickramasinghe United States
Sven Nõmm Estonia
Vandana Roy India
Gustavo Henrique de Rosa Brazil
Jiajun Lin China
Osman Salem France
A. Navia-Vázquez Spain
Vivek Nigam United States
Christos Dimitrakakis Sweden
Yuncong Chen
Citations per year, relative to Yuncong Chen Yuncong Chen (= 1×) peers Christos Dimitrakakis

Countries citing papers authored by Yuncong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuncong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuncong Chen

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

All Works

13 of 13 papers shown
1.
Zhao, Tianxiang, Wenchao Yu, Suhang Wang, et al.. (2024). Interpretable Imitation Learning with Dynamic Causal Relations. 967–975.
2.
Zhao, Tianxiang, Wenchao Yu, Suhang Wang, et al.. (2023). Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. arXiv (Cornell University). 3513–3524. 1 indexed citations
3.
Luo, Dongsheng, Wei Cheng, Yingheng Wang, et al.. (2023). Time Series Contrastive Learning with Information-Aware Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4534–4542. 47 indexed citations
4.
Li, Yufei, Yanchi Liu, H. Wang, et al.. (2023). GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. 9–18. 1 indexed citations
5.
Zhao, Xujiang, Xuchao Zhang, Wei Cheng, et al.. (2022). Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3618–3622. 7 indexed citations
6.
Song, Dongjin, Yuncong Chen, Wei Cheng, et al.. (2022). Deep Federated Anomaly Detection for Multivariate Time Series Data. 2022 IEEE International Conference on Big Data (Big Data). 1–10. 3 indexed citations
7.
McElvain, Lauren E., Yuncong Chen, Jeffrey D. Moore, et al.. (2021). Specific populations of basal ganglia output neurons target distinct brain stem areas while collateralizing throughout the diencephalon. Neuron. 109(10). 1721–1738.e4. 82 indexed citations
8.
Song, Dongjin, Yuncong Chen, Cristian Lumezanu, et al.. (2020). Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 34(2). 1403–1411. 8 indexed citations
9.
Dong, Bo, Cristian Lumezanu, Yuncong Chen, et al.. (2020). At the Speed of Sound: Efficient Audio Scene Classification. 8. 301–305. 5 indexed citations
10.
Zhang, Xuchao, Wei Cheng, Bo Zong, et al.. (2020). Temporal Context-Aware Representation Learning for Question Routing. 753–761. 20 indexed citations
11.
Chen, Yuncong, Lauren E. McElvain, Alexander Tolpygo, et al.. (2019). An active texture-based digital atlas enables automated mapping of structures and markers across brains. Nature Methods. 16(4). 341–350. 18 indexed citations
12.
Zhang, Chuxu, Dongjin Song, Yuncong Chen, et al.. (2019). A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 1409–1416. 482 indexed citations breakdown →
13.
Chen, Yuncong & Pascale Fung. (2010). Unsupervised Synthesis of Multilingual Wikipedia Articles.. International Conference on Computational Linguistics. 197–205. 2 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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