Jun Wen

714 total citations
37 papers, 378 citations indexed

About

Jun Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jun Wen has authored 37 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Jun Wen's work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (6 papers). Jun Wen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (6 papers). Jun Wen collaborates with scholars based in China, United States and Canada. Jun Wen's co-authors include Nenggan Zheng, Zhefeng Gong, Risheng Liu, Jianhua Dai, Junsong Yuan, Zheng Qian, Chenyang Si, Yuntao Qian, Liang Wang and Dongfang Liu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Jun Wen

31 papers receiving 371 citations

Peers

Countries citing papers authored by Jun Wen

Since Specialization

Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wen. A scholar is included among the top collaborators of Jun Wen 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 Jun Wen. Jun Wen 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	Efficient segmentation of intraoperative anatomical landmarks in laparoscopic cholecystectomy based on deep learning 2025 ·Computer Methods and Programs in Biomedicine ·Zongjin Yang, Jun Wen, Deqing Huang, (unknown), Rong Zhang, Bo Ren, Zhenhao Chen, Yirui Yin, (unknown)	0
2	Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes 2025 ·Journal of Medical Internet Research ·(unknown), Jue Hou, (unknown), Kimberly F. Greco, (unknown), (unknown), Jun Wen, (unknown), (unknown), (unknown), Katherine P. Liao, Tianrun Cai, Zongqi Xia, Florence T. Bourgeois, Tianxi Cai	0
3	Dual-route embedding-aware graph neural networks for drug repositioning 2025 ·Briefings in Bioinformatics ·Yanlong Zhao, Yixiao Chen, Jiawen Du, Jun Wen, Quan Sun, Ren Wang, Can Chen	0
4	Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records 2024 ·Journal of Biomedical Informatics ·(unknown), Jun Wen, Yihan Zhao, Clara-Lea Bonzel, Víctor M. Castro, Yucong Lin, (unknown), Jue Hou, Tianxi Cai	1
5	Episodic task agnostic contrastive training for multi-task learning 2023 ·Neural Networks ·Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang	8
6	Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies 2023 ·Journal of Medical Internet Research ·Jue Hou, (unknown), Jessica Gronsbell, Yucong Lin, Clara-Lea Bonzel, (unknown), (unknown), Brett K. Beaulieu‐Jones, Griffin M. Weber, Thomas Jemielita, (unknown), Chuan Hong, Tianrun Cai, Jun Wen, Vidul Ayakulangara Panickan, Kai‐Li Liaw, Katherine P. Liao, Tianxi Cai	8
7	Multimodal representation learning for predicting molecule–disease relations 2023 ·Bioinformatics ·Jun Wen, Xiang Zhang, (unknown), Vidul Ayakulangara Panickan, (unknown), Tianrun Cai, (unknown), Yuk‐Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Žitnik, Tianxi Cai	12
8	Discriminative Radial Domain Adaptation 2023 ·IEEE Transactions on Image Processing ·(unknown), Jun Wen, Siheng Chen, Linchao Zhu, Nenggan Zheng	15
9	LATTE: Label-efficient incident phenotyping from longitudinal electronic health records 2023 ·Patterns ·Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Víctor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, (unknown), Yuk‐Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, (unknown), Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai	6
10	Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition 2021 ·arXiv (Cornell University) ·(unknown), Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang	38
11	Linear Context Transform Block 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jun Wen, Nenggan Zheng, Min Zheng	11
12	Exploiting Local Feature Patterns for Unsupervised Domain Adaptation 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jun Wen, Risheng Liu, Nenggan Zheng, Zheng Qian, Zhefeng Gong, Junsong Yuan	30
13	Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Nenggan Zheng, Jun Wen, Risheng Liu, (unknown), Jianhua Dai, Zhefeng Gong	111
14	Outdoor scene labeling using deep convolutional neural networks 2015 ·Jun Wen, (unknown), (unknown), Jian Wang	0
15	The Image Segmentation Algorithm of Region Growing and Wavelet Transform Modulus Maximum 2015 ·(unknown), Jun Wen	4
16	Design and implementation of Android phone based access and control in smart space 2011 ·Jun Wen	3
17	Research and optimize in IEEE802.11MAC protocol 2010 ·Jisuanji yingyong yanjiu ·Jun Wen	1
18	Scene Classification Using Spatial Pyramid Blocks and PLSA 2009 ·Journal of Chinese Computer Systems ·Jun Wen	0
19	Research and design about the neutral reactors compensation on UHV double-circle lines 2009 ·Haijun Liu, Jun Wen, Minxiao Han, (unknown), Xiangning Xiao, Xiuyu Chen	1
20	AnchorClu: An Anchorperson Shot Detection Method Based on Clustering 2005 ·(unknown), (unknown), Lingda Wu, Jun Wen, Songyang Lao	4

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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