Xiaojun Wu

1.5k total citations
112 papers, 893 citations indexed

About

Xiaojun Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Xiaojun Wu has authored 112 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 30 papers in Aerospace Engineering and 24 papers in Computational Mechanics. Recurrent topics in Xiaojun Wu's work include Robotics and Sensor-Based Localization (20 papers), Advanced Vision and Imaging (19 papers) and Industrial Vision Systems and Defect Detection (16 papers). Xiaojun Wu is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Advanced Vision and Imaging (19 papers) and Industrial Vision Systems and Defect Detection (16 papers). Xiaojun Wu collaborates with scholars based in China, Hong Kong and Singapore. Xiaojun Wu's co-authors include Takashi Matsuyama, Lingteng Qiu, Michael Yu Wang, T. Takai, Shohei Nobuhara, Jia Chen, Zhili Long, Zhilin Cheng, Zhengfu Ning and Xiaodong Gu and has published in prestigious journals such as Journal of Hazardous Materials, Optics Express and IEEE Access.

In The Last Decade

Xiaojun Wu

89 papers receiving 856 citations

Peers

Countries citing papers authored by Xiaojun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Wu. A scholar is included among the top collaborators of Xiaojun 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 Xiaojun Wu. Xiaojun 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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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	SAM-guided multi-level collaborative Transformer for infrared and visible image fusion	Pattern Recognition	Xiaoqing Luo, Xiaojun Wu et al.	6
2	Trunk-branch contrastive network with multi-view deformable aggregation for multi-view action recognition	Pattern Recognition	Guoyuan Liang, Can Wang et al.	0
3	Online lane mapping based on multi-sensor SLAM and Catmull–Rom splines	Measurement Science and Technology	Danping Zou, Chao Ping Chen et al.	0
4	A Novel Weld Adaptive Path Generation Method Based on 3-D Point Cloud for Robotic Multilayer Multipass Welding	IEEE Transactions on Instrumentation and Measurement	Xiaojun Wu, Michael Yu Wang et al.	0
5	Traffic flow forecasting based on augmented multi-component recurrent graph attention network	Transportation Letters	Yuan Yao, Xiaojun Wu et al.	0
6	Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation	International Journal of Computer Vision	Tianyang Xu, Xiaoning Song et al.	0
7	Copper but not manganese application reduces cadmium uptake and accumulation in bread wheat	Plant Physiology and Biochemistry	Yuquan Wang, Xiaojun Wu et al.	0
8	Multi-class segmentation of navel orange surface defects based on improved DeepLabv3+	Journal of Agricultural Engineering	Yun Zhu, Shuwen Liu et al.	4
9	An efficient viscoelastic multiscale model for investigation on the cure‐induced microscopic residual stresses of composite laminates	Polymer Composites	Huanyu Liu, Xiaojun Wu et al.	0
10	Test-Time Adaptation With Self-Supervised Learning for Gaze Estimation	IEEE Transactions on Consumer Electronics	Jingjing Wang, Xiaojun Wu et al.	0
11	Integrative multi-omics analysis reveals the underlying toxicological mechanisms of enrofloxacin on the growth of wheat seedling roots	Journal of Hazardous Materials	Xiaojun Wu, Xiangdong Chen et al.	4
12	MDSCs promote pathological angiogenesis in ocular neovascular disease	Biomedicine & Pharmacotherapy	Xiaojun Wu, Limei Zhong et al.	3
13	Grasping Performance Analysis and Comparison of Multi-Chamber Ring-Shaped Soft Grippers	Biomimetics	Dan Wang, Xiaojun Wu	3
14	A comprehensive characterization of North China tight sandstone using micro-CT, SEM imaging, and mercury intrusion	Arabian Journal of Geosciences	Zhilin Cheng, Zhengfu Ning et al.	11
15	Experimental Investigation of Countercurrent Spontaneous Imbibition in Tight Sandstone Using Nuclear Magnetic Resonance	Energy & Fuels	Zhilin Cheng, Qing Wang et al.	73
16	Impedance Modeling of Ultrasonic Transducers Used in Heavy Aluminum Wire Bonding	IEEE Transactions on Components Packaging and Manufacturing Technology	Zhili Long, Xiaojun Wu et al.	12
17	Human Body Shape and Motion Tracking by Hierarchical Weighted ICP	Lecture notes in computer science	Xiaojun Wu, Michael Yu Wang et al.	5
18	A Novel Fuzzy Fisher Classifier for Signal Peptide Prediction	Protein and Peptide Letters	Xiaojun Wu, Fengwei Tian et al.	4
19	Calibration of Partially-Fixed Viewpoint Active Camera		Xiaojun Wu, Takashi Matsuyama et al.	2
20	Real-Time Active 3D Object Shape Reconstruction for 3D Video		Xiaojun Wu, Toshikazu Wada et al.	1

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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