Jing Hua

2.7k citations
112 papers · 1.8k indexed · 1 hit paper · h-index 25
Topics
3D Shape Modeling and Analysis (39 papers)Computer Graphics and Visualization Techniques (30 papers)Medical Image Segmentation Techniques (18 papers)

In The Last Decade

Jing Hua

104 papers receiving 1.7k citations

Hit Papers

A-CNN: Annularly Convolutional Neural Networks on Point C...2019202620212023201950100150

Peers

Jing Hua
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 674
  • Computational Mechanics 537
  • Computer Graphics and Computer-Aided Design 292
  • Artificial Intelligence 222
  • Geology 212
Replace Mário Costa Sousa with:
Mário Costa Sousa Canada
Klaus Hinrichs Germany
Oliver Staadt United States
Franc Solina Slovenia
Tong‐Yee Lee Taiwan
Jiajun Wu United States
Xenophon Zabulis Greece
Leon A. Gatys Germany
Jin Xie China
Enrico Gobbetti Italy
Jing Hua relative to Mário Costa Sousa Canada Mário Costa Sousa's profile →
Citations per field
00.5×1.5×2.3×
Mário Costa Sousa · 1×
Citations per year

Countries citing papers authored by Jing Hua

Since Specialization
Citations

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

Fields of papers citing papers by Jing Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Hua. A scholar is included among the top collaborators of Jing Hua 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 Jing Hua. Jing Hua 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 4
3 4
4 0
5 0
6 10
7 4
8 22
9 36
10 5
11
Symmetric Conformal Mapping for Surface Matching and Registration
5
12 7
13 50
14 22
15 28
16 42
17 52
18 29
19
HapticFlow: PDE-based mesh editing with haptics: Research Articles
1
20 8

About Jing Hua

Jing Hua is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 112 papers that have together received 1.8k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (39 papers), Computer Graphics and Visualization Techniques (30 papers) and Medical Image Segmentation Techniques (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (292 citations), Geology (212 citations) and Computer Vision and Pattern Recognition (674 citations). Jing Hua has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zichun Zhong, Ming Dong, Hong Qin, Darshan Pai, Jiaxi Hu, Guangyu Zou, Lin Cui, Xubo Fei, Farshad Fotouhi and Otto Muzik. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Fuel.

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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