Ching-Hua Lee

410 citations
32 papers · 296 · h-index 11

Impact in

Papers in

Ching-Hua Lee

29 papers receiving 296 citations

Peers

Ching-Hua Lee
Comparison fields: 5 of 70
  • Signal Processing 95
  • Computational Mechanics 76
  • Cognitive Neuroscience 36
  • Materials Chemistry 75
  • Clinical Biochemistry 9
Replace Shota Inoue with:
Shota Inoue Japan
Y. Medan Israel
Alexander Krueger Germany
Erik Gudmundson Sweden
Liwei Liu China
Ali Zamani Iran
I−Ru Chen United States
Yinghua Zhu United States
Roy Irwan Netherlands
Ching-Hua Lee relative to Shota Inoue Japan Shota Inoue's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ching-Hua Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Hua Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Hua Lee. 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 Ching-Hua Lee. The network helps show where Ching-Hua Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Ching-Hua Lee, 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 Ching-Hua Lee Line = papers co-authored together Ching-Hua Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200755
2 202128
3 200327
4 202126
5 201715
6 202014
7 201913
8 201711
9 202011
10 201711
11 201710
12 201010
13 20088
14 20187
15 20117
16 20196
17 20236
18 20185
19 20204
20 20234

About Ching-Hua Lee

Ching-Hua Lee is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 32 papers that have together received 296 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Advanced Adaptive Filtering Techniques (12 papers), Hearing Loss and Rehabilitation (7 papers), Electronic Packaging and Soldering Technologies (4 papers), Blind Source Separation Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Speech Recognition and Synthesis (3 papers) and Advanced Thermoelectric Materials and Devices (3 papers). The work is most often cited by research in Signal Processing (95 citations), Computational Mechanics (76 citations), Cognitive Neuroscience (36 citations), Materials Chemistry (75 citations) and Clinical Biochemistry (9 citations). Ching-Hua Lee has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Chien‐Neng Liao, Harinath Garudadri, Bhaskar D. Rao, Wenjin Chen, Ching‐Hua Kuo, Wentai Chen, Wei‐Kai Wu, Hsien‐Li Kao, Volker Dietz and Christiane Tiefenbacher. Their work appears in journals such as Journal of Alloys and Compounds, Applied Physics Letters, The Journal of the Acoustical Society of America, Electrochemical and Solid-State Letters and Analytical Chemistry.

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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