I-Hsi Kao

457 total citations
14 papers, 365 citations indexed

About

I-Hsi Kao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, I-Hsi Kao has authored 14 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in I-Hsi Kao's work include Machine Fault Diagnosis Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers) and Machine Learning in Healthcare (2 papers). I-Hsi Kao is often cited by papers focused on Machine Fault Diagnosis Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers) and Machine Learning in Healthcare (2 papers). I-Hsi Kao collaborates with scholars based in Taiwan, United States and China. I-Hsi Kao's co-authors include Jau‐Woei Perng, Yi-Horng Lai, Wei-Jen Wang, Ching‐Yao Chan, Chih-Min Su, Chia‐Te Kung, Yi Lai, Yali Chen, Mel S. Lee and Xiao‐Hua Zhou and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

I-Hsi Kao

13 papers receiving 351 citations

Peers

I-Hsi Kao
Comparison fields: 5 of 70
  • Control and Systems Engineering 196
  • Mechanical Engineering 108
  • Electrical and Electronic Engineering 84
  • Artificial Intelligence 57
  • Mechanics of Materials 42
Replace Yi-Horng Lai with:
Yi-Horng Lai Taiwan
Chandrabhanu Mishra India
Adam Piłat Poland
Yanfeng Peng China
Arturo Yosimar Jaen-Cuéllar Mexico
Tefang Chen China
Changdong Wang China
Xiaoxia Zhang China
Shuyang Luo China
Yi-Horng Lai Taiwan View profile →
Citations per field, relative to I-Hsi Kao
I-Hsi Kao · 1×
Citations per year, relative to I-Hsi Kao
I-Hsi Kao · 1×

Countries citing papers authored by I-Hsi Kao

Since Specialization
Citations

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

Fields of papers citing papers by I-Hsi Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I-Hsi Kao. 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 I-Hsi Kao. The network helps show where I-Hsi Kao may publish in the future.

Co-authorship network of co-authors of I-Hsi Kao

This figure shows the co-authorship network connecting the top 25 collaborators of I-Hsi Kao. A scholar is included among the top collaborators of I-Hsi Kao 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 I-Hsi Kao. I-Hsi Kao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 8
3 10
4 8
5 8
6 51
7 1
8 26
9 27
10 46
11 1
12 6
13 171
14 2

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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2026