Lan Liu

2.2k citations
85 papers · 1.5k · 1 hit paper · h-index 21

Impact in

Papers in

Lan Liu

80 papers receiving 1.5k citations

Lan Liu's Hit Papers

Two-dimensional ferroelectric channel transistors integrating ultra-fast memory and neural computing 2021 · 274 citations
2740+1+3Years since publication50100150200250

Peers

Lan Liu
Comparison fields: 5 of 100
  • Electrical and Electronic Engineering 937
  • Polymers and Plastics 173
  • Materials Chemistry 488
  • Cellular and Molecular Neuroscience 156
  • Transportation 44
Replace Junjie Wang with:
Junjie Wang China
Zongwei Wang China
Sangho Kim South Korea
Yimin Gu China
Xiankun Zhang China
David Yang United States
Can Wang China
Li Yang China
Kyung-Hyun Kim South Korea
Wu Wang China
Lan Liu relative to Junjie Wang China Junjie Wang's profile →
Citations per field
00.5×1.5×2.1×
Junjie Wang · 1×
Citations per year

Countries citing papers authored by Lan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Two-dimensional ferroelectric channel transistors integrating ultra-fast memory and neural computing
Hit paper breakdown →
2021274
2 2018168
3 202181
4 202075
5 201573
6 201545
7 202142
8 201941
9 201440
10 200439
11 200636
12 202234
13 201233
14 201130
15 201929
16 202227
17 201826
18 202026
19 202322
20 201422

About Lan Liu

Lan Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Polymers and Plastics and Automotive Engineering, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (10 papers), Advanced Memory and Neural Computing (10 papers), Photonic and Optical Devices (8 papers), Conducting polymers and applications (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Optical Network Technologies (6 papers), Advanced Fiber Laser Technologies (5 papers) and Advanced Battery Technologies Research (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (937 citations), Polymers and Plastics (173 citations), Materials Chemistry (488 citations), Cellular and Molecular Neuroscience (156 citations) and Transportation (44 citations). Lan Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Zhou, Xianghui Hou, Shuiyuan Wang, Huawei Chen, Shunli Ma, David Wei Zhang, Yi Ding, Stojan Radic, Nikola Alić and Omar K. Matar. Their work appears in journals such as Advanced Electronic Materials, Optics Express, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Nano Energy and Applied Physics Letters.

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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