Junlang Liu

1.6k citations
9 papers · 1.4k · 1 hit paper · h-index 8

Impact in

Papers in

Junlang Liu

9 papers receiving 1.4k citations

Junlang Liu's Hit Papers

Tether-free photothermal deep-brain stimulation in freely behaving mice via wide-field illumination in the near-infrared-II window 2022 · 179 citations
1790+1+2Years since publication50100150

Peers

Junlang Liu
Comparison fields: 5 of 81
  • Catalysis 577
  • Process Chemistry and Technology 172
  • Renewable Energy, Sustainability and the Environment 963
  • Cellular and Molecular Neuroscience 157
  • Materials Chemistry 405
Replace Chenyue Qiu with:
Chenyue Qiu China
Ren Liu United States
Yu Xing China
Jianyang Wang China
Jin‐Woo Jung South Korea
Yijin Shu China
Cory A. Milligan United States
Juntong Zhu China
Muthusamy Eswaramoorthy India
Yifei Ye China
Junlang Liu relative to Chenyue Qiu China Chenyue Qiu's profile →
Citations per field
00.5×4.6×
Chenyue Qiu · 1×
Citations per year

Countries citing papers authored by Junlang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junlang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2021325
2 2021301
3 2017218
4
Tether-free photothermal deep-brain stimulation in freely behaving mice via wide-field illumination in the near-infrared-II window
Hit paper breakdown →
2022179
5 2019172
6 2018112
7 202054
8 20229
9 20233

About Junlang Liu

Junlang Liu is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis, Molecular Biology, Cellular and Molecular Neuroscience and Process Chemistry and Technology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (5 papers), Ionic liquids properties and applications (3 papers), Electrocatalysts for Energy Conversion (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Photocatalysis Techniques (2 papers), Photoreceptor and optogenetics research (2 papers), Protein Structure and Dynamics (2 papers) and Vagus Nerve Stimulation Research (1 paper). The work is most often cited by research in Catalysis (577 citations), Process Chemistry and Technology (172 citations), Renewable Energy, Sustainability and the Environment (963 citations), Cellular and Molecular Neuroscience (157 citations) and Materials Chemistry (405 citations). Junlang Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Gengfeng Zheng, Yuhang Wang, Yifei Wang, Abdullah M. Al‐Enizi, Chao Yang, Yali Ji, Xiang Wu, Guosong Hong, H. F. Shen and Zheng Chen. Their work appears in journals such as Nature Communications, Journal of Colloid and Interface Science, Essays in Biochemistry, Small and Advanced Materials.

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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