Xiao‐Yuan Jing

7.9k total citations · 1 hit paper
284 papers, 5.6k citations indexed

About

Xiao‐Yuan Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiao‐Yuan Jing has authored 284 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Computer Vision and Pattern Recognition, 78 papers in Artificial Intelligence and 58 papers in Information Systems. Recurrent topics in Xiao‐Yuan Jing's work include Face and Expression Recognition (82 papers), Software Engineering Research (47 papers) and Video Surveillance and Tracking Methods (45 papers). Xiao‐Yuan Jing is often cited by papers focused on Face and Expression Recognition (82 papers), Software Engineering Research (47 papers) and Video Surveillance and Tracking Methods (45 papers). Xiao‐Yuan Jing collaborates with scholars based in China, Hong Kong and Australia. Xiao‐Yuan Jing's co-authors include Fei Wu, Xiaoke Zhu, David Zhang, Zhiqiang Li, Baowen Xu, Xiwei Dong, Zhiwu Zhang, Dong Yue, Jingyu Yang and Ruimin Hu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Xiao‐Yuan Jing

266 papers receiving 5.4k 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.

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

2022 155 citations Fei Wu, Xiao‐Yuan Jing et al. profile →

Peers

Countries citing papers authored by Xiao‐Yuan Jing

Since Specialization

Citations

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

Fields of papers citing papers by Xiao‐Yuan Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Yuan Jing. 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 Xiao‐Yuan Jing. The network helps show where Xiao‐Yuan Jing may publish in the future.

Co-authorship network of co-authors of Xiao‐Yuan Jing

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Learning multi-granularity representation with transformer for visible-infrared person re-identification 2025 ·Pattern Recognition ·(unknown), (unknown), Guozi Sun, Fei Wu, Yimu Ji, Tianliang Liu, Shangdong Liu, Xiao‐Yuan Jing, Jiebo Luo	3
2	Cluster-graph convolution networks for robust multi-view clustering 2025 ·Knowledge-Based Systems ·Wei Zheng, Xiao‐Yuan Jing, (unknown), Fei Wu, Changhui Hu, Bo Du	0
3	Two-Stage Knowledge Distillation Network With Multi-Teacher Self-Training for Semi-Supervised Multi-Modal Fake News Detection 2025 ·IEEE Transactions on Network Science and Engineering ·Fei Wu, (unknown), Yimu Ji, Xiao‐Yuan Jing, Guo‐Ping Jiang	0
4	Unsupervised Software Defect Prediction Through Multiview Clustering 2025 ·IEEE Transactions on Reliability ·Zhiqiang Li, Hongyu Zhang, Xiao‐Yuan Jing, Wangyang Yu, (unknown)	0
5	Graph refinement and consistency self-supervision for tensorized incomplete multi-view clustering 2024 ·Information Fusion ·Wei Liu, Xiao‐Yuan Jing, (unknown), Tengyu Zhang	2
6	Homogeneous and heterogeneous relational graph for visible-infrared person re-identification 2024 ·Pattern Recognition ·(unknown), (unknown), (unknown), Yimu Ji, Fei Wu, Shangdong Liu, Xiao‐Yuan Jing	6
7	Low-rank representation induced missing-view recovery for incomplete multi-view clustering 2024 ·Neurocomputing ·(unknown), Xiao‐Yuan Jing, (unknown), Xiaoke Zhu, (unknown)	7
8	Multiscale hybrid feature guided normalizing flow for low-light image enhancement 2024 ·Computers & Electrical Engineering ·Changhui Hu, Yin Hu, (unknown), Ziyun Cai, Fei Wu, Xiao‐Yuan Jing, Xiaobo Lu	1
9	Task-specific parameter decoupling for class incremental learning 2023 ·Information Sciences ·(unknown), Xiao‐Yuan Jing, Fei Wu, Wei Zheng, (unknown)	5
10	Single-/Multi-Source Domain Adaptation via domain separation: A simple but effective method 2023 ·Pattern Recognition Letters ·Ziyun Cai, (unknown), Tengfei Zhang, Changhui Hu, Xiao‐Yuan Jing	8
11	Dual contrastive universal adaptation network for multi-source visual recognition 2022 ·Knowledge-Based Systems ·Ziyun Cai, Tengfei Zhang, Fumin Ma, Xiao‐Yuan Jing	8
12	Cross-Project Defect Prediction via Landmark Selection-Based Kernelized Discriminant Subspace Alignment 2021 ·IEEE Transactions on Reliability ·Zhiqiang Li, Jingwen Niu, Xiao‐Yuan Jing, Wangyang Yu, Chao Qi	25
13	Semi-Supervised Multi-View Deep Discriminant Representation Learning 2020 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Xiao‐Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue	125
14	Visual-Depth Matching Network: Deep RGB-D Domain Adaptation With Unequal Categories 2020 ·IEEE Transactions on Cybernetics ·Ziyun Cai, Xiao‐Yuan Jing, Ling Shao	10
15	Multiset Feature Learning for Highly Imbalanced Data Classification 2019 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiao‐Yuan Jing, Xinyu Zhang, Xiaoke Zhu, Fei Wu, Xinge You, Yang Gao, Shiguang Shan, Jingyu Yang	106
16	Low‐rank representation for semi‐supervised software defect prediction 2018 ·IET Software ·Zhiwu Zhang, Xiao‐Yuan Jing, Fei Wu	8
17	Semi-supervised multiple kernel intact discriminant space learning for image recognition 2018 ·Neural Computing and Applications ·Xiwei Dong, Fei Wu, Xiao‐Yuan Jing	6
18	Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition 2018 ·IEEE Transactions on Cybernetics ·Fei Wu, Xiao‐Yuan Jing, Xiwei Dong, Ruimin Hu, Dong Yue, Lina Wang, Yimu Ji, Ruchuan Wang, Guoliang Chen	28
19	Multi-view Intact Discriminant Space Learning for Image Classification 2018 ·Neural Processing Letters ·Xiwei Dong, Fei Wu, Xiao‐Yuan Jing, Songsong Wu	4
20	Label propagation based semi-supervised learning for software defect prediction 2016 ·Automated Software Engineering ·Zhiwu Zhang, Xiao‐Yuan Jing, (unknown)	95

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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