Ning Xie

1.6k total citations
63 papers, 846 citations indexed

About

Ning Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ning Xie has authored 63 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 13 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ning Xie's work include Computer Graphics and Visualization Techniques (13 papers), Advanced Vision and Imaging (11 papers) and 3D Shape Modeling and Analysis (10 papers). Ning Xie is often cited by papers focused on Computer Graphics and Visualization Techniques (13 papers), Advanced Vision and Imaging (11 papers) and 3D Shape Modeling and Analysis (10 papers). Ning Xie collaborates with scholars based in China, Japan and United States. Ning Xie's co-authors include Yang Yang, Heng Tao Shen, Fumin Shen, Yi Bin, Mengqiu Hu, Xuelong Li, Richang Hong, Masashi Sugiyama, Hamid Laga and Hirotaka Hachiya and has published in prestigious journals such as Applied Energy, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ning Xie

49 papers receiving 827 citations

Peers

Ning Xie
Hao Zhao China
Jim X. Chen United States
Carl Vondrick United States
Hao Zhao China
Ning Xie
Citations per year, relative to Ning Xie Ning Xie (= 1×) peers Hao Zhao

Countries citing papers authored by Ning Xie

Since Specialization
Citations

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

Fields of papers citing papers by Ning Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Xie. A scholar is included among the top collaborators of Ning 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 Ning Xie. Ning 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.
Wei, Jiwei, et al.. (2025). CMNet: Cross-Modal Coarse-to-Fine Network for Point Cloud Completion Based on Patches. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9132–9147.
2.
Li, Zheng, et al.. (2024). Reducing Q-Value Estimation Bias via Mutual Estimation and Softmax Operation in MADRL. Algorithms. 17(1). 36–36. 1 indexed citations
3.
Liu, Changhong, et al.. (2024). Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image Enhancement. Journal of Marine Science and Engineering. 12(3). 506–506. 8 indexed citations
5.
Xie, Ning, et al.. (2024). PIMT: Physics-Based Interactive Motion Transition for Hybrid Character Animation. 10497–10505. 1 indexed citations
6.
Wang, Zheng, Xing Xu, Jiwei Wei, et al.. (2024). Semantics Disentangling for Cross-Modal Retrieval. IEEE Transactions on Image Processing. 33. 2226–2237. 15 indexed citations
7.
Xie, Ning, et al.. (2024). EGTCN: An Efficient Graph and Temporal Convolution Network for Sensor-Based Human Activity Recognition in Federated Learning. IEEE Sensors Journal. 24(21). 34892–34906. 1 indexed citations
9.
Xie, Ning, et al.. (2024). Eye-Hand Typing: Eye Gaze Assisted Finger Typing via Bayesian Processes in AR. IEEE Transactions on Visualization and Computer Graphics. 30(5). 2496–2506. 4 indexed citations
10.
11.
Xie, Ning, et al.. (2023). Monte Carlo Denoising via Multi-scale Auxiliary Feature Fusion Guided Transformer. 1–4. 1 indexed citations
12.
Xie, Ning, et al.. (2023). Self-Relational Graph Convolution Network for Skeleton-Based Action Recognition. 27–36. 3 indexed citations
14.
Xie, Ning, et al.. (2020). Attention Optimization Method for EEG via the TGAM. Computational and Mathematical Methods in Medicine. 2020. 1–11. 4 indexed citations
15.
Xie, Ning, et al.. (2019). Statistical Karyotype Analysis Using CNN and Geometric Optimization. IEEE Access. 7. 179445–179453. 37 indexed citations
16.
Xie, Ning, Yifan Lu, & Chang Liu. (2019). Web3D Client-Enhanced Global Illumination via GAN for Health Visualization. IEEE Access. 8. 13270–13281. 5 indexed citations
17.
Laga, Hamid, et al.. (2018). Statistical Modeling of the 3D Geometry and Topology of Botanical Trees. Computer Graphics Forum. 37(5). 185–198. 12 indexed citations
18.
Bin, Yi, Yang Yang, Fumin Shen, et al.. (2018). Describing Video With Attention-Based Bidirectional LSTM. IEEE Transactions on Cybernetics. 49(7). 2631–2641. 207 indexed citations
19.
Cheraghchi, Mahdi, Elena Grigorescu, Brendan Juba, Karl Wimmer, & Ning Xie. (2018). AC0∘MOD2 lower bounds for the Boolean Inner Product. Journal of Computer and System Sciences. 97. 45–59. 5 indexed citations
20.
Xie, Ning, et al.. (2015). Stroke-based stylization learning and rendering with inverse reinforcement learning. Bournemouth University Research Online (Bournemouth University). 2531–2537. 11 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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