Chaoda Zheng

1.3k citations
12 papers · 656 indexed · 1 hit paper · h-index 7
Topics
Advanced Neural Network Applications (7 papers)3D Shape Modeling and Analysis (6 papers)3D Surveying and Cultural Heritage (4 papers)

In The Last Decade

Chaoda Zheng

12 papers receiving 647 citations

Hit Papers

PointASNL: Robust Point Clouds Processing Using Nonlocal ...20202026202220242020100200300400

Peers

Chaoda Zheng
Comparison fields: 5 of 51
  • Computational Mechanics 405
  • Geology 329
  • Computer Vision and Pattern Recognition 319
  • Environmental Engineering 223
  • Computer Graphics and Computer-Aided Design 110
Replace Xianzhi Li with:
Xianzhi Li China
Wentao Yuan United States
Shenman Zhang China
Ryan Razani Canada
Minh-Khoi Tran Singapore
Truc Le United States
Minhyuk Sung South Korea
Jiageng Mao Hong Kong
Ji Hou China
Jiadai Sun China
Chaoda Zheng relative to Xianzhi Li China Xianzhi Li's profile →
Citations per field
00.5×1.5×
Xianzhi Li · 1×
Citations per year

Countries citing papers authored by Chaoda Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Chaoda Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoda Zheng

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 7
2 3
3 14
4 5
5 6
6 24
7 67
8 66
9 29
10
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Samplingbreakdown →
432
11 1
12 2

About Chaoda Zheng

Chaoda Zheng is a scholar working on Geology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), 3D Shape Modeling and Analysis (6 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Geology (329 citations), Computer Graphics and Computer-Aided Design (110 citations) and Computational Mechanics (405 citations). Chaoda Zheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shuguang Cui, Yan Xu, Sheng Wang, Zhen Li, Zhen Li, Jiantao Gao, Baoyuan Wang, Shenghui Cheng, Wei Zhang and Yuhui Quan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 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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