Nan Xu
- Materials Chemistry top 1%
- Electrical and Electronic Engineering top 1%
- Renewable Energy, Sustainability and the Environment top 0.5%
- Catalysis top 1%
- Electronic, Optical and Magnetic Materials top 5%
- Topics
- Machine Learning in Materials Science (9 papers)Shape Memory Alloy Transformations (7 papers)Magnetic and transport properties of perovskites and related materials (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Nan Xu
52 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Materials Chemistry 4.0k
- Electrical and Electronic Engineering 2.6k
- Renewable Energy, Sustainability and the Environment 2.2k
- Catalysis 821
- Electronic, Optical and Magnetic Materials 799
Countries citing papers authored by Nan Xu
This map shows the geographic impact of Nan Xu'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 Nan Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Xu more than expected).
Fields of papers citing papers by Nan Xu
This network shows the impact of papers produced by Nan Xu. 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 Nan Xu. The network helps show where Nan Xu may publish in the future.
Co-authorship network of co-authors of Nan Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Nan Xu. A scholar is included among the top collaborators of Nan Xu 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 Nan Xu. Nan Xu 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 32 | |
| 16 | VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP codebreakdown → | 4813 |
| 17 | Dopants fixation of Ruthenium for boosting acidic oxygen evolution stability and activitybreakdown → | 464 |
| 18 | 42 | |
| 19 | VASPKIT: A Pre- and Post-Processing Program for VASP code | 115 |
| 20 | 80 |
About Nan Xu
Nan Xu is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Materials Chemistry, having authored 59 papers that have together received 6.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Shape Memory Alloy Transformations (7 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.2k citations), Catalysis (821 citations) and Materials Chemistry (4.0k citations). Nan Xu has collaborated with scholars based in China, United States and France. Frequent co-authors include Gang Tang, W. T. Geng, Jincheng Liu, Vei Wang, Yi He, Xingwang Zhang, Shaoyun Hao, Lecheng Lei, Xiangnan Liu and Junjie Pan. Their work appears in journals such as Nature Communications, Journal of Applied Physics and Chemistry of 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.