Xiaojuan Lian
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 5%
- Cellular and Molecular Neuroscience top 5%
- Polymers and Plastics top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Topics
- Advanced Memory and Neural Computing (64 papers)Ferroelectric and Negative Capacitance Devices (37 papers)Neuroscience and Neural Engineering (19 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeurosciencePolymers and Plastics
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
In The Last Decade
Xiaojuan Lian
86 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 2.1k
- Materials Chemistry 995
- Cellular and Molecular Neuroscience 556
- Polymers and Plastics 409
- Renewable Energy, Sustainability and the Environment 157
Countries citing papers authored by Xiaojuan Lian
This map shows the geographic impact of Xiaojuan Lian'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 Xiaojuan Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Lian more than expected).
Fields of papers citing papers by Xiaojuan Lian
This network shows the impact of papers produced by Xiaojuan Lian. 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 Xiaojuan Lian. The network helps show where Xiaojuan Lian may publish in the future.
Co-authorship network of co-authors of Xiaojuan Lian
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Lian. A scholar is included among the top collaborators of Xiaojuan Lian 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 Xiaojuan Lian. Xiaojuan Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 40 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 6 |
About Xiaojuan Lian
Xiaojuan Lian is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (64 papers), Ferroelectric and Negative Capacitance Devices (37 papers) and Neuroscience and Neural Engineering (19 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.1k citations), Cellular and Molecular Neuroscience (556 citations) and Polymers and Plastics (409 citations). Xiaojuan Lian has collaborated with scholars based in China, Spain and Singapore. Frequent co-authors include J. Suñé, E. Miranda, Ming Liu, L. Perniola, Feng Miao, Shibing Long, C. Cagli, J. Joshua Yang, Miao Wang and Baigeng Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.