Jiakai Liu

6.0k citations
56 papers · 3.2k indexed · 2 hit papers · h-index 20
Topics
Perovskite Materials and Applications (26 papers)Quantum Dots Synthesis And Properties (17 papers)Machine Learning in Materials Science (8 papers)
Journals
Advanced MaterialsAngewandte Chemie International EditionSHILAP Revista de lepidopterología
Partner nations
ChinaSaudi ArabiaCanada

In The Last Decade

Jiakai Liu

53 papers receiving 3.2k citations

Hit Papers

Highly Efficient Perovskite‐Quantum‐Dot Light‐Emitting Di...2015202620182022201620152505007501000

Peers

Jiakai Liu
Comparison fields: 5 of 115
  • Electrical and Electronic Engineering 2.8k
  • Materials Chemistry 2.3k
  • Polymers and Plastics 484
  • Atomic and Molecular Physics, and Optics 394
  • Renewable Energy, Sustainability and the Environment 183
Replace Mahshid Ahmadi with:
Mahshid Ahmadi United States
Michael A. O’Connell United Kingdom
Yuping Wang China
M. Bahoura United States
Bora Yoon South Korea
Jorick Maes Belgium
R. K. Shukla India
Xuning Zhang China
Jiaxin Zhao China
Hongdong Zhang China
Jiakai Liu relative to Mahshid Ahmadi United States Mahshid Ahmadi's profile →
Citations per field
00.5×10×12.9×
Mahshid Ahmadi · 1×
Citations per year

Countries citing papers authored by Jiakai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jiakai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiakai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiakai Liu. A scholar is included among the top collaborators of Jiakai Liu 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 Jiakai Liu. Jiakai Liu 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
#WorkIndexed citations
1 6
2 5
3 8
4 2
5 10
6 0
7 5
8 28
9 48
10 2
11 73
12 64
13 16
14 42
15 17
16 38
17 23
18 17
19
Design of Piezoresistive MEMS Pressure Sensor Chip for Special Environments
2
20 33

About Jiakai Liu

Jiakai Liu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Physiology, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (26 papers), Quantum Dots Synthesis And Properties (17 papers) and Machine Learning in Materials Science (8 papers). The work is most often cited by research in Materials Chemistry (2.3k citations), Electrical and Electronic Engineering (2.8k citations) and Polymers and Plastics (484 citations). Jiakai Liu has collaborated with scholars based in China, Saudi Arabia and Canada. Frequent co-authors include Osman M. Bakr, Omar F. Mohammed, Jun Pan, Banavoth Murali, Wei Peng, Noktan M. AlYami, Smritakshi P. Sarmah, Lutfan Sinatra, Edward H. Sargent and Mohamed Nejib Hedhili. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

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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