Liaosa Xu
- Organic Chemistry top 2%
- Materials Chemistry top 10%
- Statistics, Probability and Uncertainty top 2%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Co-authors
- Harry C. DornHarry W. GibsonTing CaiMarilyn M. OlmsteadAlan L. BalchTianming ZuoChunying ShuWujun Fu
- Topics
- Fullerene Chemistry and Applications (11 papers)Graphene research and applications (9 papers)Advanced Statistical Process Monitoring (6 papers)
- Journals
- Journal of the American Chemical SocietyThe Journal of Physical Chemistry CJournal of Medicinal Chemistry
- Partner nations
- United StatesChinaIndia
In The Last Decade
Liaosa Xu
20 papers receiving 938 citations
Peers
Comparison fields: 5 of 65
- Organic Chemistry 754
- Materials Chemistry 661
- Statistics, Probability and Uncertainty 105
- Atomic and Molecular Physics, and Optics 104
- Electrical and Electronic Engineering 56
Countries citing papers authored by Liaosa Xu
This map shows the geographic impact of Liaosa 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 Liaosa Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liaosa Xu more than expected).
Fields of papers citing papers by Liaosa Xu
This network shows the impact of papers produced by Liaosa 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 Liaosa Xu. The network helps show where Liaosa Xu may publish in the future.
Co-authorship network of co-authors of Liaosa Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Liaosa Xu. A scholar is included among the top collaborators of Liaosa 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 Liaosa Xu. Liaosa 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 | 8 | |
| 2 | The monitoring of linear profiles with a GLR control chart | 1 |
| 3 | 11 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 29 | |
| 7 | 33 | |
| 8 | 45 | |
| 9 | 12 | |
| 10 | 61 | |
| 11 | 139 | |
| 12 | 55 | |
| 13 | 63 | |
| 14 | 37 | |
| 15 | 59 | |
| 16 | 44 | |
| 17 | 57 | |
| 18 | 125 | |
| 19 | 108 | |
| 20 | 31 |
About Liaosa Xu
Liaosa Xu is a scholar working on Medical Laboratory Technology, Statistics, Probability and Uncertainty and Organic Chemistry, having authored 20 papers that have together received 944 indexed citations. Recurring topics across this work include Fullerene Chemistry and Applications (11 papers), Graphene research and applications (9 papers) and Advanced Statistical Process Monitoring (6 papers). The work is most often cited by research in Organic Chemistry (754 citations), Statistics, Probability and Uncertainty (105 citations) and Materials Chemistry (661 citations). Liaosa Xu has collaborated with scholars based in United States, China and India. Frequent co-authors include Harry C. Dorn, Harry W. Gibson, Ting Cai, Marilyn M. Olmstead, Alan L. Balch, Tianming Zuo, Chunying Shu, Wujun Fu, Jonathan Reid and Kim Harich. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry C and Journal of Medicinal Chemistry.
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.