Chien‐Yi Huang

1.1k total citations
61 papers, 840 citations indexed

About

Chien‐Yi Huang is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Chien‐Yi Huang has authored 61 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 26 papers in Industrial and Manufacturing Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Chien‐Yi Huang's work include Electronic Packaging and Soldering Technologies (19 papers), Manufacturing Process and Optimization (13 papers) and Industrial Vision Systems and Defect Detection (12 papers). Chien‐Yi Huang is often cited by papers focused on Electronic Packaging and Soldering Technologies (19 papers), Manufacturing Process and Optimization (13 papers) and Industrial Vision Systems and Defect Detection (12 papers). Chien‐Yi Huang collaborates with scholars based in Taiwan, United States and Iran. Chien‐Yi Huang's co-authors include Kuo‐Ching Ying, Shih-Wei Lin, Ching‐Hsiang Chen, Rong‐Ho Lee, Shingjiang Jessie Lue, Chao‐Ming Shih, Ying‐Ling Liu, Shu‐Chuan Chen, S. A. Edalatpanah and Dasheng Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Expert Systems with Applications.

In The Last Decade

Chien‐Yi Huang

57 papers receiving 822 citations

Peers

Chien‐Yi Huang
Comparison fields: 5 of 83
  • Industrial and Manufacturing Engineering 427
  • Electrical and Electronic Engineering 277
  • Mechanical Engineering 88
  • Computer Networks and Communications 86
  • Control and Systems Engineering 57
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Citations per field, relative to Chien‐Yi Huang
Chien‐Yi Huang · 1×
Citations per year, relative to Chien‐Yi Huang
Chien‐Yi Huang · 1×

Countries citing papers authored by Chien‐Yi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Yi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Yi Huang. 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 Chien‐Yi Huang. The network helps show where Chien‐Yi Huang may publish in the future.

Co-authorship network of co-authors of Chien‐Yi Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Yi Huang. A scholar is included among the top collaborators of Chien‐Yi Huang 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 Chien‐Yi Huang. Chien‐Yi Huang 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 0
3 1
4 4
5 2
6 30
7 9
8 7
9 5
10 2
11 7
12 0
13 15
14 3
15 2
16 1
17 178
18 7
19 4
20 1

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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