Jie Lao

798 total citations · 1 hit paper
20 papers, 680 citations indexed

About

Jie Lao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jie Lao has authored 20 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jie Lao's work include Advanced Memory and Neural Computing (12 papers), Perovskite Materials and Applications (7 papers) and Photoreceptor and optogenetics research (6 papers). Jie Lao is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Perovskite Materials and Applications (7 papers) and Photoreceptor and optogenetics research (6 papers). Jie Lao collaborates with scholars based in China, New Zealand and United States. Jie Lao's co-authors include Hui Peng, Chunhua Luo, Chunli Jiang, Hechun Lin, Chun‐Gang Duan, Bobo Tian, Ni Zhong, Ruijuan Qi, Rong Huang and Geoffrey I. N. Waterhouse and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Journal of Catalysis.

In The Last Decade

Jie Lao

20 papers receiving 672 citations

Hit Papers

Ultralow‐Power Machine Vision with Self‐Powered Sensor Re... 2022 2026 2023 2024 2022 40 80 120

Peers

Jie Lao
Comparison fields: 5 of 39
  • Electrical and Electronic Engineering 590
  • Renewable Energy, Sustainability and the Environment 176
  • Materials Chemistry 170
  • Cellular and Molecular Neuroscience 161
  • Polymers and Plastics 140
Replace Donggang Xie with:
Donggang Xie China
Atul C. Khot South Korea
Haoming Yu United States
Nasir Ilyas China
Shuaipeng Ge China
Pengshan Xie Hong Kong
Donggyu Lim South Korea
Nasir Ilyas China
Alpana Nayak India
Donggang Xie China View profile →
Citations per field, relative to Jie Lao
Jie Lao · 1×
Citations per year, relative to Jie Lao
Jie Lao · 1×

Countries citing papers authored by Jie Lao

Since Specialization
Citations

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

Fields of papers citing papers by Jie Lao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Lao

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Lao. A scholar is included among the top collaborators of Jie Lao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Lao. Jie Lao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2 34
3 18
4 4
5 11
6 3
7 32
8
Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir breakdown →
140
9 4
10 83
11 49
12 20
13 9
14 27
15 31
16 24
17 35
18 37
19 49
20 47

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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