Chien‐Hung Liu

172 papers receiving 3.3k citations

Peers

Chien‐Hung Liu
Comparison fields: 5 of 159
  • Software 177
  • Energy Engineering and Power Technology 75
  • Computer Vision and Pattern Recognition 476
  • Renewable Energy, Sustainability and the Environment 374
  • Building and Construction 292
Replace Peter Rodgers with:
Peter Rodgers United Kingdom
Chunsheng Yang China
Tao Wang China
Zhen Li China
Zili Wang China
Robert Fitch United States
Zhongxin Liu China
Mitsuhiro Hirano Japan
Chenxi Wang China
Chien‐Hung Liu relative to Peter Rodgers United Kingdom Peter Rodgers's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chien‐Hung Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Hung Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chien‐Hung Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chien‐Hung Liu Line = papers co-authored together Chien‐Hung Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008196
2 2009182
3 2009173
4 2012102
5 201494
6 201593
7 201279
8 201378
9 200777
10 200674
11 200773
12 200270
13 200569
14 200766
15 200266
16 200063
17 199960
18 201259
19 201058
20 201057

About Chien‐Hung Liu

Chien‐Hung Liu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering, having authored 177 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (60 papers), Optical measurement and interference techniques (26 papers), Surface Roughness and Optical Measurements (17 papers), Scientific Measurement and Uncertainty Evaluation (11 papers), Astronomical Observations and Instrumentation (10 papers), Advanced Surface Polishing Techniques (10 papers), Piezoelectric Actuators and Control (10 papers) and Advanced machining processes and optimization (9 papers). The work is most often cited by research in Software (177 citations), Energy Engineering and Power Technology (75 citations), Computer Vision and Pattern Recognition (476 citations), Renewable Energy, Sustainability and the Environment (374 citations) and Building and Construction (292 citations). Chien‐Hung Liu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jo‐Shu Chang, Wen‐Yuh Jywe, Yuan‐Yih Hsu, Liang‐Wen Ji, Chun‐Yen Chen, Cha’o-Kuang Chen, David Chenho Kung, Chuan-Kang Ting, Pei Hsia and Te‐Hua Fang. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Review of Scientific Instruments, Precision Engineering, International Journal of Machine Tools and Manufacture and Bioresource Technology.

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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