Haixu Wu

4.5k total citations · 1 hit paper
12 papers, 590 citations indexed

About

Haixu Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Haixu Wu has authored 12 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Haixu Wu's work include Advanced Vision and Imaging (3 papers), Single-cell and spatial transcriptomics (2 papers) and Human Pose and Action Recognition (2 papers). Haixu Wu is often cited by papers focused on Advanced Vision and Imaging (3 papers), Single-cell and spatial transcriptomics (2 papers) and Human Pose and Action Recognition (2 papers). Haixu Wu collaborates with scholars based in China. Haixu Wu's co-authors include Jianmin Wang, Mingsheng Long, Yunbo Wang, Jianjin Zhang, Philip S. Yu, Zhifeng Gao, Zhiyu Yao, Yuting Liu, Can Wang and Bing Su and has published in prestigious journals such as Cell, IEEE Transactions on Pattern Analysis and Machine Intelligence and National Science Review.

In The Last Decade

Haixu Wu

10 papers receiving 578 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.

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

2022 317 citations Yunbo Wang, Haixu Wu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haixu Wu China	5	180	124	118	110	71	12	590
Weiming Huang China	17	112 0.6×	150 1.2×	217 1.8×	112 1.0×	10 0.1×	65	862
Kecheng Chen China	12	121 0.7×	154 1.2×	31 0.3×	81 0.7×	40 0.6×	35	663
Chenyu Li China	14	302 1.7×	516 4.2×	72 0.6×	228 2.1×	20 0.3×	28	1.6k
Sumam Mary Idicula India	13	96 0.5×	165 1.3×	92 0.8×	279 2.5×	47 0.7×	84	630
Xianwei Zheng China	16	93 0.5×	299 2.4×	77 0.7×	41 0.4×	19 0.3×	49	865
Javier Calpe Spain	15	161 0.9×	147 1.2×	251 2.1×	113 1.0×	45 0.6×	42	901
Daniel Pérez United States	13	66 0.4×	61 0.5×	38 0.3×	38 0.3×	42 0.6×	29	455
Ji Qi China	14	121 0.7×	252 2.0×	102 0.9×	152 1.4×	22 0.3×	43	724
Haozhe Huang China	9	359 2.0×	201 1.6×	56 0.5×	198 1.8×	45 0.6×	27	859
Michel Journée Belgium	12	84 0.5×	38 0.3×	190 1.6×	434 3.9×	74 1.0×	28	785

Countries citing papers authored by Haixu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haixu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixu Wu

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

All Works

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12 of 12 papers shown

1.

Wu, Haixu, et al.. (2025). Metadata-informed transformers for informative time series forecasting. Scientia Sinica Informationis. 56(2). 345–345. 1 indexed citations

2.

Liu, Yongxin, Mingsheng Long, Jianmin Wang, et al.. (2024). TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. 469–498. 1 indexed citations

3.

Dong, Kangning, Haixu Wu, Xingyan Liu, et al.. (2024). Single-nucleus multi-omics analyses reveal cellular and molecular innovations in the anterior cingulate cortex during primate evolution. Cell Genomics. 4(12). 100703–100703. 2 indexed citations

4.

Long, Mingsheng, et al.. (2024). DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction. 122833–122866.

5.

Yao, Zhiyu, Yunbo Wang, Haixu Wu, Jianmin Wang, & Mingsheng Long. (2023). ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–16. 11 indexed citations

6.

Wu, Haixu, et al.. (2023). Interpretable weather forecasting for worldwide stations with a unified deep model. Nature Machine Intelligence. 5(6). 602–611. 56 indexed citations

7.

Lin, Qiang, Jin Jiang, Min Li, et al.. (2023). Brain developmental and cortical connectivity changes in transgenic monkeys carrying the human-specific duplicated gene SRGAP2C. National Science Review. 10(11). nwad281–nwad281. 2 indexed citations

8.

Wu, Haixu, et al.. (2023). SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. 29996–30025.

9.

Wang, Yunbo, Haixu Wu, Jianjin Zhang, et al.. (2022). PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2208–2225. 317 indexed citations breakdown →

10.

Wu, Haixu, et al.. (2022). Non-Stationary Transformers: Exploring the Stationarity in Time Series Forecasting. 9881–9893. 1 indexed citations

11.

Luo, Xin, Yuting Liu, Ting Hu, et al.. (2021). 3D Genome of macaque fetal brain reveals evolutionary innovations during primate corticogenesis. Cell. 184(3). 723–740.e21. 73 indexed citations

12.

Wu, Haixu, Zhiyu Yao, Jianmin Wang, & Mingsheng Long. (2021). MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions. 15430–15439. 126 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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