Shih‐Fang Chen

1.0k citations
68 papers · 801 indexed · h-index 14
Topics
Smart Agriculture and AI (12 papers)Advanced Electrical Measurement Techniques (10 papers)Advanced Chemical Sensor Technologies (8 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Shih‐Fang Chen

66 papers receiving 769 citations

Peers

Shih‐Fang Chen
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 368
  • Plant Science 230
  • Materials Chemistry 181
  • Biomedical Engineering 155
  • Analytical Chemistry 102
Replace Taek Sung Lee with:
Taek Sung Lee South Korea
J. De Baerdemaeker Belgium
Hongjian Chen China
Shiping Zhu China
W.J. Perold South Africa
H. Sundgren Sweden
Fujie Zhang China
Szu‐Yu Chen Taiwan
Xiaona Zhang China
Won‐Jong Lee South Korea
Shih‐Fang Chen relative to Taek Sung Lee South Korea Taek Sung Lee's profile →
Citations per field
00.5×4.4×
Taek Sung Lee · 1×
Citations per year

Countries citing papers authored by Shih‐Fang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Fang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Fang Chen. 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 Shih‐Fang Chen. The network helps show where Shih‐Fang Chen may publish in the future.

Co-authorship network of co-authors of Shih‐Fang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Fang Chen. A scholar is included among the top collaborators of Shih‐Fang Chen 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 Shih‐Fang Chen. Shih‐Fang Chen 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 13
4 48
5 2
6 32
7 75
8 1
9 22
10 89
11 4
12 5
13 1
14 3
15
Automatic feature selection and failure diagnosis for bearing faults
1
16 3
17 8
18 2
19 1
20 31

About Shih‐Fang Chen

Shih‐Fang Chen is a scholar working on Bioengineering, Analytical Chemistry and Electrical and Electronic Engineering, having authored 68 papers that have together received 801 indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Advanced Electrical Measurement Techniques (10 papers) and Advanced Chemical Sensor Technologies (8 papers). The work is most often cited by research in Analytical Chemistry (102 citations), Electrical and Electronic Engineering (368 citations) and Plant Science (230 citations). Shih‐Fang Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ching‐Wu Wang, Yu‐Ting Chen, Mary‐Grace C. Danao, Yean-Kuen Fang, S.F. Ting, Hsun‐Yi Chen, Joe‐Air Jiang, Cheng‐Ying Chou, Yu-Kai Lin and Patrick J. Brown. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

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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