Congrui Huang

2.2k total citations · 2 hit papers
8 papers, 892 citations indexed

About

Congrui Huang is a scholar working on Artificial Intelligence, Signal Processing and Economics and Econometrics. According to data from OpenAlex, Congrui Huang has authored 8 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Economics and Econometrics. Recurrent topics in Congrui Huang's work include Time Series Analysis and Forecasting (4 papers), Advanced Text Analysis Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Congrui Huang is often cited by papers focused on Time Series Analysis and Forecasting (4 papers), Advanced Text Analysis Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Congrui Huang collaborates with scholars based in China, United Kingdom and United States. Congrui Huang's co-authors include Juanyong Duan, Bixiong Xu, Yujing Wang, Yunhai Tong, Zhihan Yue, Tianmeng Yang, Jing Bai, Defu Cao, Jie Tong and Qi Zhang and has published in prestigious journals such as Empirical Methods in Natural Language Processing, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Congrui Huang

7 papers receiving 862 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.

Multivariate Time-Series Anomaly Detection via Graph Attention Network

2020 371 citations Hang Zhao, Yujing Wang et al. profile →
TS2Vec: Towards Universal Representation of Time Series

2022 336 citations Zhihan Yue, Yujing Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Congrui Huang China	5	599	403	239	115	72	8	892
Bixiong Xu China	4	521 0.9×	392 1.0×	240 1.0×	115 1.0×	72 1.0×	4	771
Tung Kieu Denmark	13	428 0.7×	394 1.0×	189 0.8×	72 0.6×	94 1.3×	19	815
Ye Zhu Australia	18	474 0.8×	166 0.4×	145 0.6×	46 0.4×	81 1.1×	78	970
Defu Cao United States	7	363 0.6×	220 0.5×	208 0.9×	91 0.8×	33 0.5×	12	545
Chin‐Chia Michael Yeh United States	17	715 1.2×	761 1.9×	134 0.6×	69 0.6×	52 0.7×	52	1.2k
Ailin Deng China	4	537 0.9×	313 0.8×	362 1.5×	132 1.1×	68 0.9×	12	721
Jie Tong China	7	356 0.6×	210 0.5×	240 1.0×	87 0.8×	50 0.7×	17	548
Boris N. Oreshkin Canada	13	376 0.6×	132 0.3×	335 1.4×	82 0.7×	114 1.6×	30	887
Hui Lu China	15	340 0.6×	197 0.5×	352 1.5×	59 0.5×	90 1.3×	55	773
S. Chu United States	3	308 0.5×	428 1.1×	99 0.4×	64 0.6×	35 0.5×	7	740

Countries citing papers authored by Congrui Huang

Since Specialization

Citations

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

Fields of papers citing papers by Congrui Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congrui Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Congrui Huang. A scholar is included among the top collaborators of Congrui Huang 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 Congrui Huang. Congrui Huang 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:

8 of 8 papers shown

1.

Yang, Yaming, Zhuo Li, Juanyong Duan, et al.. (2024). Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection. 1–9.

2.

Liu, Weiqing, et al.. (2023). Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. 5104–5115. 2 indexed citations

3.

Li, Ziyue, Yuchen Fang, You Li, et al.. (2023). Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. 196–201. 4 indexed citations

4.

Yue, Zhihan, Yujing Wang, Juanyong Duan, et al.. (2022). TS2Vec: Towards Universal Representation of Time Series. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8980–8987. 336 indexed citations breakdown →

5.

Cao, Defu, Yujing Wang, Juanyong Duan, et al.. (2021). Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. arXiv (Cornell University). 33. 17766–17778. 59 indexed citations

6.

Zhao, Hang, Yujing Wang, Juanyong Duan, et al.. (2020). Multivariate Time-Series Anomaly Detection via Graph Attention Network. 841–850. 371 indexed citations breakdown →

7.

Yan, Rui, Congrui Huang, Jie Tang, Yan Zhang, & Xiaoming Li. (2012). To better stand on the shoulder of giants. 51–60. 65 indexed citations

8.

Yan, Rui, Liang Kong, Congrui Huang, et al.. (2011). Timeline Generation through Evolutionary Trans-Temporal Summarization. Empirical Methods in Natural Language Processing. 433–443. 55 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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