Chao Cheng

655 total citations
23 papers, 432 citations indexed

About

Chao Cheng is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chao Cheng has authored 23 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Chao Cheng's work include Digital Filter Design and Implementation (10 papers), Advanced Data Compression Techniques (6 papers) and Numerical Methods and Algorithms (5 papers). Chao Cheng is often cited by papers focused on Digital Filter Design and Implementation (10 papers), Advanced Data Compression Techniques (6 papers) and Numerical Methods and Algorithms (5 papers). Chao Cheng collaborates with scholars based in United States and China. Chao Cheng's co-authors include Keshab K. Parhi, Liang Zhang, Yan Chen, Yuqiang Jiang, Mark J. Dekkers, Ruiting Wang, Bo Xu, Yangfan Li, Dunshan Yu and Huaimin Xu and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Chao Cheng

21 papers receiving 374 citations

Peers

Chao Cheng
Comparison fields: 5 of 47
  • Signal Processing 238
  • Computer Vision and Pattern Recognition 182
  • Electrical and Electronic Engineering 177
  • Computational Theory and Mathematics 67
  • Artificial Intelligence 63
Replace Linda S. DeBrunner with:
Linda S. DeBrunner United States
Abhijit Karmakar India
K. Wiatr Poland
Igone Vélez Spain
Gene C. H. Chuang Taiwan
Takeshi Agui Japan
H.H. Loomis United States
Member Eurasip Switzerland
D. Chan United States
Shingo Yoshizawa Japan
Linda S. DeBrunner United States View profile →
Citations per field, relative to Chao Cheng
Chao Cheng · 1×
Citations per year, relative to Chao Cheng
Chao Cheng · 1×

Countries citing papers authored by Chao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Cheng. A scholar is included among the top collaborators of Chao Cheng 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 Cheng. Chao Cheng 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
# Work Indexed citations
1 0
2 1
3 1
4 8
5 1
6 4
7 28
8 1
9
Magnetic mineral dissolution in Pleistocene fluvio-lacustrine sediments, Nihewan Basin
3
10 11
11 12
12 35
13 50
14 22
15 69
16 2
17 45
18 1
19 38
20 20

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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