Lianhua Qu
- Materials Chemistry top 0.5%
- Electrical and Electronic Engineering top 0.5%
- Molecular Biology top 5%
- Renewable Energy, Sustainability and the Environment top 2%
- Biomedical Engineering top 2%
- Co-authors
- Xiaogang PengWilliam W. YuWenzhuo GuoZhe PengMin XiaoJiayu ZhangXiaoyong WangAmjad Nazzal
- Topics
- Quantum Dots Synthesis And Properties (12 papers)Advanced Memory and Neural Computing (12 papers)Chalcogenide Semiconductor Thin Films (12 papers)
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringRenewable Energy, Sustainability and the Environment
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lianhua Qu
28 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Materials Chemistry 7.3k
- Electrical and Electronic Engineering 4.8k
- Molecular Biology 1.6k
- Renewable Energy, Sustainability and the Environment 1.2k
- Biomedical Engineering 985
Countries citing papers authored by Lianhua Qu
This map shows the geographic impact of Lianhua Qu'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 Lianhua Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianhua Qu more than expected).
Fields of papers citing papers by Lianhua Qu
This network shows the impact of papers produced by Lianhua Qu. 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 Lianhua Qu. The network helps show where Lianhua Qu may publish in the future.
Co-authorship network of co-authors of Lianhua Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Lianhua Qu. A scholar is included among the top collaborators of Lianhua Qu 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 Lianhua Qu. Lianhua Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 24 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 39 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 171 | |
| 12 | 150 | |
| 13 | 215 | |
| 14 | 463 | |
| 15 | 4 | |
| 16 | Experimental Determination of the Extinction Coefficient of CdTe, CdSe, and CdS Nanocrystalsbreakdown → | 4466 |
| 17 | 131 | |
| 18 | Control of Photoluminescence Properties of CdSe Nanocrystals in Growthbreakdown → | 1397 |
| 19 | Alternative Routes toward High Quality CdSe Nanocrystalsbreakdown → | 775 |
| 20 | 26 |
About Lianhua Qu
Lianhua Qu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence, having authored 28 papers that have together received 8.2k indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (12 papers), Advanced Memory and Neural Computing (12 papers) and Chalcogenide Semiconductor Thin Films (12 papers). The work is most often cited by research in Materials Chemistry (7.3k citations), Electrical and Electronic Engineering (4.8k citations) and Renewable Energy, Sustainability and the Environment (1.2k citations). Lianhua Qu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaogang Peng, William W. Yu, Wenzhuo Guo, Zhe Peng, Min Xiao, Jiayu Zhang, Xiaoyong Wang, Amjad Nazzal, Xiaoyong Wang and Yunjun Wang. Their work appears in journals such as Journal of the American Chemical Society, Nano Letters and Applied Physics Letters.
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.