Deng Luo

779 citations
49 papers · 577 · h-index 11

Impact in

Papers in

Deng Luo

43 papers receiving 571 citations

Peers

Deng Luo
Comparison fields: 5 of 92
  • Human-Computer Interaction 35
  • Cellular and Molecular Neuroscience 108
  • Biomedical Engineering 237
  • Electrical and Electronic Engineering 240
  • Polymers and Plastics 47
Replace Valerio F. Annese with:
Valerio F. Annese Italy
Francesco Maita Italy
Jiangtao Su China
Muhammad Naqi South Korea
Haipeng Wang China
Xin Xin China
Qingquan Han China
Juhyun Lee South Korea
Seung-Min Kang South Korea
Rongyu Tang China
Deng Luo relative to Valerio F. Annese Italy Valerio F. Annese's profile →
Citations per field
00.5×1.5×
Valerio F. Annese · 1×
Citations per year

Countries citing papers authored by Deng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Deng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018160
2 201981
3 201977
4 201934
5 201526
6 201423
7 201923
8 202418
9 202218
10 202011
11 202011
12 20237
13 20176
14 20136
15 20186
16 20206
17 20175
18 20155
19 20225
20 20234

About Deng Luo

Deng Luo is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Plant Science and Materials Chemistry, having authored 49 papers that have together received 577 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Analog and Mixed-Signal Circuit Design (7 papers), Radiation Effects in Electronics (7 papers), VLSI and Analog Circuit Testing (5 papers), Semiconductor materials and devices (5 papers), Low-power high-performance VLSI design (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Advancements in PLL and VCO Technologies (4 papers). The work is most often cited by research in Human-Computer Interaction (35 citations), Cellular and Molecular Neuroscience (108 citations), Biomedical Engineering (237 citations), Electrical and Electronic Engineering (240 citations) and Polymers and Plastics (47 citations). Deng Luo has collaborated with scholars based in China, United States and France. Frequent co-authors include Milin Zhang, Zhihua Wang, Yixin Wu, Xing Sheng, Lingyun Zhao, Wensheng Xie, Hui Wu, Rongfeng Li, Yu Zhao and Hangxun Xu. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Electron Device Letters, Plant Disease, IEEE Transactions on Power Electronics and Small.

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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