Yu Xie

3.7k total citations · 1 hit paper
88 papers, 2.5k citations indexed

About

Yu Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Yu Xie has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Yu Xie's work include Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (20 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Yu Xie is often cited by papers focused on Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (20 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Yu Xie collaborates with scholars based in China, Australia and Singapore. Yu Xie's co-authors include Bin Yu, Maoguo Gong, Chen Zhang, Yuan Gao, Weihong Li, A. K. Qin, Zedong Tang, Deyun Zhou, Chao Han and Hao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Pollution.

In The Last Decade

Yu Xie

77 papers receiving 2.4k 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.

A survey on federated learning

2021 1.0k citations Chen Zhang, Yu Xie et al. profile →

Peers

Countries citing papers authored by Yu Xie

Since Specialization

Citations

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

Fields of papers citing papers by Yu Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xie. A scholar is included among the top collaborators of Yu Xie 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 Yu Xie. Yu Xie 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

#	Work	Indexed citations
1	Weak salinization alleviates the harmful impact of cyanobacteria on water fleas 2025 ·Environmental Pollution ·Kun Yang, Jianan Li, Yu Xie, (unknown), (unknown), Xiaodong Jiang	0
2	Research on underwater disease target detection method of inland waterway based on deep learning 2025 ·Scientific Reports ·Tao Yu, Yu Xie, Jianfeng Luo, W. J. Zhu, Jie Liu	2
3	Synchronous responses to tidal restriction by seawall construction across fish and plankton communities in Yangtze River Estuary 2025 ·Marine Environmental Research ·(unknown), Jianan Li, Yu Xie, (unknown), Xiaodong Jiang	0
4	Fourier feature decorrelation based sample attention for dense crowd localization 2024 ·Neural Networks ·(unknown), (unknown), Yuhua Qian, Yu Xie, Wenjian Wang	0
5	Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning 2024 ·IEEE Transactions on Knowledge and Data Engineering ·Chen Zhang, Yu Xie, (unknown), (unknown), Bin Yu	5
6	Research on sonar image generation technique based on improved CycleGAN 2024 ·Tao Yu, (unknown), (unknown), Yu Xie, (unknown)	1
7	Mobile computing-enabled health physique evaluation in campus based on amplified hashing 2023 ·Journal of Cloud Computing Advances Systems and Applications ·Yu Xie, (unknown), Khosro Rezaee, (unknown)	1
8	FGSS: Federated global self-supervised framework for large-scale unlabeled data 2023 ·Applied Soft Computing ·Chen Zhang, (unknown), Bin Yu, (unknown), Yu Xie	0
9	A Block-Based Adaptive Decoupling Framework for Graph Neural Networks 2022 ·Entropy ·(unknown), (unknown), Yu Xie, Ka‐Chun Wong, Chengbin Peng	3
10	Multiparty Dual Learning 2022 ·IEEE Transactions on Cybernetics ·Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, (unknown), Yew-Soon Ong	12
11	Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos 2022 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Maoguo Gong, Yu Xie, A. K. Qin, Hao Li, Yuan Gao, Yew-Soon Ong	64
12	Improving Chemical Reaction Prediction with Unlabeled Data 2022 ·Molecules ·Yu Xie, (unknown), Ka‐Chun Wong, (unknown), Chengbin Peng	1
13	Semisupervised Graph Neural Networks for Graph Classification 2022 ·IEEE Transactions on Cybernetics ·Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He	29
14	A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation 2022 ·IEEE Transactions on Vehicular Technology ·(unknown), Yu Xie, Zhiwei Qiao, Liyun Xu, Yuhua Qian	15
15	Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing 2022 ·Journal of Cloud Computing Advances Systems and Applications ·Yu Xie, Kuilin Zhang, Huaizhen Kou, Mohammad Jafar Mokarram	6
16	A Multi-Task Representation Learning Architecture for Enhanced Graph Classification 2020 ·Frontiers in Neuroscience ·Yu Xie, Maoguo Gong, Yuan Gao, A. K. Qin, Xiaolong Fan	17
17	Multi-Task Network Representation Learning 2020 ·Frontiers in Neuroscience ·Yu Xie, (unknown), Maoguo Gong, Chen Zhang, Bin Yu	49
18	A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition 2020 ·Frontiers in Neurorobotics ·Chen Zhang, (unknown), Yu Xie, Maoguo Gong, Bin Yu	23
19	Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition 2020 ·Neural Networks ·Maoguo Gong, (unknown), Yu Xie, A. K. Qin, Zedong Tang	44
20	Privacy-enhanced multi-party deep learning 2019 ·Neural Networks ·Maoguo Gong, (unknown), Yu Xie	48

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.

Explore authors with similar magnitude of impact