Defu Cao

1.4k total citations · 2 hit papers
12 papers, 545 citations indexed

About

Defu Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Defu Cao has authored 12 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Defu Cao's work include Time Series Analysis and Forecasting (3 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (2 papers). Defu Cao is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (2 papers). Defu Cao collaborates with scholars based in United States, China and Switzerland. Defu Cao's co-authors include Yunhai Tong, Bixiong Xu, Yujing Wang, Juanyong Duan, Jing Bai, Congrui Huang, Jie Tong, Qi Zhang, Hang Zhao and Hengbo Ma and has published in prestigious journals such as Neural Networks, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Defu Cao

11 papers receiving 527 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 →
When physics meets machine learning: a survey of physics-informed machine learning

2025 27 citations Chuizheng Meng, Defu Cao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Defu Cao United States	7	363	220	208	91	43	12	545
Mohsin Munir Germany	8	448 1.2×	228 1.0×	233 1.1×	99 1.1×	67 1.6×	19	599
Bixiong Xu China	4	521 1.4×	392 1.8×	240 1.2×	115 1.3×	47 1.1×	4	771
Jie Tong China	7	356 1.0×	210 1.0×	240 1.2×	87 1.0×	25 0.6×	17	548
Zekai Chen China	10	388 1.1×	207 0.9×	210 1.0×	85 0.9×	90 2.1×	23	599
Ailin Deng China	4	537 1.5×	313 1.4×	362 1.7×	132 1.5×	38 0.9×	12	721
Chih‐Chieh Hung Taiwan	13	136 0.4×	293 1.3×	179 0.9×	41 0.5×	88 2.0×	39	684
Chenhao Niu China	3	745 2.1×	464 2.1×	500 2.4×	148 1.6×	39 0.9×	7	867
Hoang Anh Dau United States	10	437 1.2×	486 2.2×	76 0.4×	61 0.7×	99 2.3×	12	721
Raghavendra Chalapathy Australia	3	272 0.7×	80 0.4×	121 0.6×	57 0.6×	56 1.3×	4	392
Xiangyan Tang China	13	228 0.6×	80 0.4×	138 0.7×	39 0.4×	101 2.3×	45	476

Countries citing papers authored by Defu Cao

Since Specialization

Citations

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

Fields of papers citing papers by Defu Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Defu Cao

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

12 of 12 papers shown

1.

Meng, Chuizheng, et al.. (2025). When physics meets machine learning: a survey of physics-informed machine learning. 1(1). 27 indexed citations breakdown →

2.

Cao, Defu, et al.. (2025). MultiverseAD: Enhancing spatial-temporal synchronous attention networks with causal knowledge for multivariate time series anomaly detection. Neural Networks. 192. 107903–107903.

3.

Wang, Kevin, et al.. (2024). GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23343–23351. 22 indexed citations

4.

Cao, Defu, et al.. (2024). MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. arXiv (Cornell University). 709–720. 3 indexed citations

5.

Cao, Defu, et al.. (2023). Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6897–6905. 7 indexed citations

6.

Cao, Defu, Zhaowen Wang, Jose Echevarria, & Yan Liu. (2023). SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. 10093–10102. 4 indexed citations

7.

Cao, Defu, et al.. (2023). Large Scale Financial Time Series Forecasting with Multi-faceted Model. 472–480. 2 indexed citations

8.

Wang, Yujing, Pengfei Tang, Defu Cao, et al.. (2022). Enhancing Self-Attention with Knowledge-Assisted Attention Maps. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 107–115. 3 indexed citations

9.

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

10.

Cao, Defu, Jiachen Li, Hengbo Ma, & Masayoshi Tomizuka. (2021). Spectral Temporal Graph Neural Network for Trajectory Prediction. 1839–1845. 40 indexed citations

11.

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

12.

Cao, Defu, et al.. (2020). FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection. 539–546. 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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