Chao Peng

726 citations
55 papers · 385 indexed · h-index 12
Topics
3D Shape Modeling and Analysis (11 papers)Computer Graphics and Visualization Techniques (11 papers)Virtual Reality Applications and Impacts (10 papers)

In The Last Decade

Chao Peng

46 papers receiving 365 citations

Peers

Chao Peng
Comparison fields: 5 of 82
  • Human-Computer Interaction 145
  • Computer Vision and Pattern Recognition 131
  • Information Systems 68
  • Developmental and Educational Psychology 57
  • Computational Mechanics 56
Replace Pavel Slavı́k with:
Pavel Slavı́k Czechia
Rosemary Michelle Simpson United States
Theophanis Tsandilas France
John Lasseter
Michael Zöllner Germany
Ahmad Hoirul Basori Saudi Arabia
Veysi İşler Türkiye
Kenrick Kin United States
Roberto Vivó Spain
António Augusto de Sousa Portugal
Chao Peng relative to Pavel Slavı́k Czechia Pavel Slavı́k's profile →
Citations per field
00.5×6.1×
Pavel Slavı́k · 1×
Citations per year

Countries citing papers authored by Chao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Chao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Peng. A scholar is included among the top collaborators of Chao Peng 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 Chao Peng. Chao Peng 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 1
4 1
5 1
6 0
7 5
8 5
9 1
10 49
11 8
12 3
13 10
14 7
15 21
16 6
17 1
18 19
19 2
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GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering
1

About Chao Peng

Chao Peng is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 385 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (11 papers) and Virtual Reality Applications and Impacts (10 papers). The work is most often cited by research in Human-Computer Interaction (145 citations), Computer Graphics and Computer-Aided Design (48 citations) and Computer Vision and Pattern Recognition (131 citations). Chao Peng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jeffrey T. Hansberger, Ajitha Rajan, Yong Cao, Rui Liu, Yunbo Zhang, Qi Yu, Christopher L. Kaufman, Huadong Zhang, Mahmoud Emam and Meng Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Transactions on Graphics and SAE technical papers on CD-ROM/SAE technical paper series.

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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