Ping Chao

550 citations
16 papers · 341 · h-index 7

Impact in

Papers in

Ping Chao

14 papers receiving 328 citations

Peers

Ping Chao
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 184
  • Management of Technology and Innovation 32
  • Industrial and Manufacturing Engineering 45
  • Signal Processing 29
  • Media Technology 21
Replace Yanxi Liu with:
Yanxi Liu China
Hamam Mokayed Sweden
Naeem Bhatti Pakistan
Maja Pokrić Serbia
Samy Bakheet Egypt
Jean-Claude Léon France
Haotian Liu China
Edson Cavalcanti Neto Brazil
Debapriya Hazra South Korea
Ping Chao relative to Yanxi Liu China Yanxi Liu's profile →
Citations per field
00.5×5.3×
Yanxi Liu · 1×
Citations per year

Countries citing papers authored by Ping Chao

Since Specialization
Citations

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

Fields of papers citing papers by Ping Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ping Chao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Chao Line = papers co-authored together Ping Chao links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2019212
2 200141
3 201025
4 199719
5 201411
6 20087
7 19997
8 20166
9 20073
10 20083
11 20152
12 20142
13 20102
14 20151
15 20180
16
Determination of manufacturability and machining parameters based on a new classification of machinability
19890

About Ping Chao

Ping Chao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 16 papers that have together received 341 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (6 papers), Advanced Data Compression Techniques (4 papers), Manufacturing Process and Optimization (3 papers), Image and Video Quality Assessment (3 papers), Advanced Vision and Imaging (2 papers), Engineering Technology and Methodologies (1 paper), Design Education and Practice (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (184 citations), Management of Technology and Innovation (32 citations), Industrial and Manufacturing Engineering (45 citations), Signal Processing (29 citations) and Media Technology (21 citations). Ping Chao has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Youn-Long Lin, Chao-Yang Kao, Chien‐Hsiang Huang, H. Henry Guo, Jiazheng Lu, Fei Chen, Yifan Du, Jing Jiang, Hòng Xu and Shu Deng. Their work appears in journals such as Computers in Industry, Journal of Intelligent Manufacturing, Transition Metal Chemistry, Journal of nano research and International Journal of Computer Applications in Technology.

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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