Chao Cheng

439 citations
26 papers · 273 indexed · h-index 10
Topics
Advancements in Semiconductor Devices and Circuit Design (4 papers)Semiconductor materials and devices (4 papers)Gas Sensing Nanomaterials and Sensors (3 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersFuel
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Chao Cheng

24 papers receiving 267 citations

Peers

Chao Cheng
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 117
  • Control and Systems Engineering 56
  • Bioengineering 40
  • Artificial Intelligence 35
  • Materials Chemistry 34
Replace P. Mars with:
P. Mars United Kingdom
Po-Hui Yang Taiwan
Y. Tu China
Alok Kumar Gupta India
J. Segura Spain
Vincenzo D’Elia Italy
J.S.T. Huang United States
Wenyuan Yang China
Phyllis R. Nelson United States
Chao Cheng relative to P. Mars United Kingdom P. Mars's profile →
Citations per field
00.5×8.7×
P. Mars · 1×
Citations per year

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
#WorkIndexed citations
1 6
2 4
3 1
4 1
5 5
6 24
7 15
8 44
9 11
10 0
11 7
12 1
13
Application of Artificial Neural Networks in the Power Split Controller For a Series Hydraulic Hybrid Vehicle
2
14 2
15 7
16 6
17 20
18 42
19 13
20 20

About Chao Cheng

Chao Cheng is a scholar working on Computer Graphics and Computer-Aided Design, Ecological Modeling and Bioengineering, having authored 26 papers that have together received 273 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (4 papers), Semiconductor materials and devices (4 papers) and Gas Sensing Nanomaterials and Sensors (3 papers). The work is most often cited by research in Bioengineering (40 citations), Control and Systems Engineering (56 citations) and Computer Graphics and Computer-Aided Design (8 citations). Chao Cheng has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Peter Liu, Huanqing Wang, Kun‐Wei Lin, Congyan Lu, Philippe Fournier‐Viger, Chun‐Yen Chen, Yuh-Pan Chen, Shuenn‐Jyi Sheu, C. S. Chang and Hsien‐Chang Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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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