Jianwen Xie

2.8k total citations
59 papers, 1.4k citations indexed

About

Jianwen Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jianwen Xie has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Jianwen Xie's work include Generative Adversarial Networks and Image Synthesis (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jianwen Xie is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jianwen Xie collaborates with scholars based in China, United States and Australia. Jianwen Xie's co-authors include Ying Wu, Song‐Chun Zhu, Wenguan Wang, Jianbing Shen, Haibin Ling, Ali Borji, Ming‐Ming Cheng, Ruiqi Gao, Zilong Zheng and Weiren Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Optics Express.

In The Last Decade

Jianwen Xie

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianwen Xie China 20 833 337 227 203 171 59 1.4k
Shuang Liang China 17 1.5k 1.8× 183 0.5× 84 0.4× 30 0.1× 237 1.4× 90 2.2k
Ashraf A. M. Khalaf Egypt 26 820 1.0× 403 1.2× 125 0.6× 23 0.1× 66 0.4× 157 2.1k
Anwar M. Mirza Pakistan 20 723 0.9× 218 0.6× 105 0.5× 20 0.1× 23 0.1× 81 1.3k
Lee Burnett Australia 20 687 0.8× 191 0.6× 96 0.4× 35 0.2× 252 1.5× 190 1.7k
Jianming Zhang China 22 1.1k 1.3× 485 1.4× 168 0.7× 7 0.0× 46 0.3× 85 1.8k
Jing Wen China 19 381 0.5× 181 0.5× 20 0.1× 100 0.5× 238 1.4× 92 1.2k
Yizeng Han China 12 559 0.7× 361 1.1× 80 0.4× 19 0.1× 53 0.3× 22 1.0k
Yu Xiang United States 18 1.3k 1.5× 493 1.5× 83 0.4× 10 0.0× 28 0.2× 58 1.7k
Franck Davoine France 17 594 0.7× 190 0.6× 73 0.3× 16 0.1× 26 0.2× 51 960

Countries citing papers authored by Jianwen Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jianwen Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwen Xie

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

All Works

20 of 20 papers shown
1.
Yue, Zongsheng, Qian Zhao, Jianwen Xie, et al.. (2022). Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2118–2128. 47 indexed citations
2.
Xie, Jianwen, et al.. (2021). Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. International Conference on Learning Representations. 8 indexed citations
3.
Yue, Zongsheng, Jianwen Xie, Qian Zhao, & Deyu Meng. (2021). Semi-Supervised Video Deraining with Dynamical Rain Generator. 642–652. 50 indexed citations
4.
Yu, Tan, et al.. (2021). MixBERT for Image-Ad Relevance Scoring in Advertising. 3597–3602. 4 indexed citations
5.
Gao, Ruiqi, Jianwen Xie, Xue-Xin Wei, Song‐Chun Zhu, & Ying Wu. (2020). On Path Integration of Grid Cells: Isotropic Metric, Conformal Embedding and Group Representation. arXiv (Cornell University). 1 indexed citations
6.
Gao, Ruiqi, Jianwen Xie, Song‐Chun Zhu, & Ying Wu. (2020). A Representational Model of Grid Cells Based on Matrix Lie Algebras.. arXiv (Cornell University). 2 indexed citations
7.
Zhu, Yizhe, Jianwen Xie, Bingchen Liu, & Ahmed Elgammal. (2019). Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. 9843–9853. 66 indexed citations
8.
Xie, Jianwen, Fajun Xiao, Chong He, et al.. (2019). Truly All-Dielectric Ultrabroadband Metamaterial Absorber: Water-Based and Ground-Free. IEEE Antennas and Wireless Propagation Letters. 18(3). 536–540. 95 indexed citations
9.
Xie, Jianwen, Zilong Zheng, Xiaolin Fang, Song‐Chun Zhu, & Ying Wu. (2019). Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning. arXiv (Cornell University). 3 indexed citations
10.
Zhu, Yizhe, Jianwen Xie, Zhiqiang Tang, Xi Peng, & Ahmed Elgammal. (2019). Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.. arXiv (Cornell University). 7 indexed citations
11.
Zhu, Yizhe, Jianwen Xie, Bingchen Liu, & Ahmed Elgammal. (2019). Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning.. arXiv (Cornell University). 2 indexed citations
12.
Fang, Hao-Shu, Guansong Lu, Xiaolin Fang, et al.. (2018). Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. 70–78. 83 indexed citations
13.
Gao, Ruiqi, Jianwen Xie, Song‐Chun Zhu, & Ying Wu. (2018). Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. arXiv (Cornell University). 8 indexed citations
14.
Wu, Ying, et al.. (2018). Sparse and deep generalizations of the FRAME model. 3(1). 211–254. 3 indexed citations
15.
Xie, Jianwen, Yang Lu, Ruiqi Gao, & Ying Wu. (2018). Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 22 indexed citations
16.
Chen, Qingqing, Jingjing Gu, Pusheng Liu, et al.. (2018). Nanowire-based ultra-wideband absorber for visible and ultraviolet light. Optics & Laser Technology. 105. 102–105. 23 indexed citations
17.
Xie, Jianwen, Yang Lu, Song‐Chun Zhu, & Ying Wu. (2015). Inducing wavelets into random fields via generative boosting. Applied and Computational Harmonic Analysis. 41(1). 4–25. 8 indexed citations
18.
Liu, Xixiang, et al.. (2009). Template Matching Based on an Improved PSO Algorithm. 292–296. 1 indexed citations
19.
20.
Hu, Yueming, et al.. (2005). Extracting fuzzy rules from neural networks for land evaluation. Nongye gongcheng xuebao. 21(12). 93. 2 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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