Ning Xie

1.6k citations
63 papers · 846 indexed · h-index 15
Topics
Computer Graphics and Visualization Techniques (13 papers)Advanced Vision and Imaging (11 papers)3D Shape Modeling and Analysis (10 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Ning Xie

49 papers receiving 827 citations

Peers

Ning Xie
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 574
  • Artificial Intelligence 246
  • Computer Graphics and Computer-Aided Design 93
  • Computational Mechanics 57
  • Signal Processing 36
Replace Jingwen Ye with:
Jingwen Ye China
Huan Ling China
Hao Zhao China
Xiaopeng Zhang China
Jim X. Chen United States
Holger Caesar Netherlands
Carl Vondrick United States
Renrui Zhang China
Faisal Z. Qureshi Canada
Yuheng Li United States
Ning Xie relative to Jingwen Ye China Jingwen Ye's profile →
Citations per field
00.5×10×
Jingwen Ye · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 8
4 0
5 1
6 15
7 1
8 0
9 4
10 0
11 1
12 3
13 0
14 4
15 37
16 5
17 12
18 207
19 5
20
Stroke-based stylization learning and rendering with inverse reinforcement learning
11

About Ning Xie

Ning Xie is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 63 papers that have together received 846 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Advanced Vision and Imaging (11 papers) and 3D Shape Modeling and Analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (574 citations), Computer Graphics and Computer-Aided Design (93 citations) and Artificial Intelligence (246 citations). Ning Xie has collaborated with scholars based in China, Japan and United States. Frequent 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. Their work appears in journals such as Applied Energy, IEEE Transactions on Image Processing and IEEE Access.

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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