Liechao Huang

522 citations
29 papers · 409 indexed · h-index 12

Liechao Huang

28 papers receiving 399 citations

Peers

Liechao Huang
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 293
  • Biomedical Engineering 211
  • Pollution 37
  • Human-Computer Interaction 16
  • Cognitive Neuroscience 56
Replace Warren Rieutort‐Louis with:
Warren Rieutort‐Louis United States
Yingzhe Hu United States
Nattapon Chaimanonart United States
Aparecido Augusto de Carvalho Brazil
Bram Van Hoe Belgium
Kensuke Kanda Japan
Srihari Rajgopal United States
F. Casset France
Dongliang Guo China
Minseok Seo South Korea
Liechao Huang relative to Warren Rieutort‐Louis United States Warren Rieutort‐Louis's profile →
Citations per field
00.5×1.5×
Warren Rieutort‐Louis · 1×
Citations per year

Countries citing papers authored by Liechao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Liechao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Liechao Huang, 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 Liechao Huang Line = papers co-authored together Liechao Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20201
2 201613
3 201613
4 20167
5 201676
6 201513
7 201513
8 201539
9 201435
10 201441
11 20148
12 20143
13 201417
14 201317
15 201311
16 201219
17 20127
18 201211
19 20121
20 20110

About Liechao Huang

Liechao Huang is a scholar working on Signal Processing, Biomedical Engineering and Electrical and Electronic Engineering, having authored 29 papers that have together received 409 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), Thin-Film Transistor Technologies (7 papers), CCD and CMOS Imaging Sensors (4 papers), Advanced Memory and Neural Computing (4 papers), Blind Source Separation Techniques (4 papers), Advanced MEMS and NEMS Technologies (4 papers), Innovative Energy Harvesting Technologies (4 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (293 citations), Biomedical Engineering (211 citations) and Pollution (37 citations). Liechao Huang has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Naveen Verma, Warren Rieutort‐Louis, James C. Sturm, S. Wagner, Yingzhe Hu, Paul Cuff, Can Wu, Branko Glišić, Jintao Zhang and Zhuo Wang. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Components Packaging and Manufacturing Technology, IEEE Electron Device Letters, IEEE Journal of Photovoltaics and Proceedings of the IEEE.

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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