Jialu Liu
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Automotive Engineering top 10%
- Co-authors
- Qin WanFei ZengFeng PanJun YinGuoqi LiJiawei HanYiming SunFan Li
- Topics
- Advanced Memory and Neural Computing (8 papers)Neuroscience and Neural Engineering (7 papers)Advanced Battery Materials and Technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Functional MaterialsLangmuir
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jialu Liu
43 papers receiving 692 citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 355
- Cellular and Molecular Neuroscience 131
- Artificial Intelligence 110
- Cognitive Neuroscience 86
- Automotive Engineering 76
Countries citing papers authored by Jialu Liu
This map shows the geographic impact of Jialu 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 Jialu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialu Liu more than expected).
Fields of papers citing papers by Jialu Liu
This network shows the impact of papers produced by Jialu 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 Jialu Liu. The network helps show where Jialu Liu may publish in the future.
Co-authorship network of co-authors of Jialu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jialu Liu. A scholar is included among the top collaborators of Jialu 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 Jialu Liu. Jialu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 28 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 22 | |
| 17 | 54 | |
| 18 | Implementing a Type of Synaptic Coupling between Excitatory and Inhibitory Cells by Using Pt/Poly(3,4-ethylenedioxythiophene):Polystyrenesulfonate/HfOₓ/Pt Memristive Structure | 1 |
| 19 | Large-scale spectral clustering on graphs | 43 |
| 20 | 13 |
About Jialu Liu
Jialu Liu is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering, having authored 51 papers that have together received 713 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Battery Materials and Technologies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (131 citations), Fluid Flow and Transfer Processes (40 citations) and Automotive Engineering (76 citations). Jialu Liu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Qin Wan, Fei Zeng, Feng Pan, Jun Yin, Guoqi Li, Jiawei Han, Yiming Sun, Fan Li, Marina Danilevsky and Chi Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Langmuir.
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.