Shuqiong Lan
- Electrical and Electronic Engineering top 5%
- Polymers and Plastics top 5%
- Biomedical Engineering
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Huipeng ChenXiaomin WuTailiang GuoJianfeng ZhongYuan FangHuihuang YangGuocheng ZhangYujie Yan
- Topics
- Organic Electronics and Photovoltaics (18 papers)Advanced Memory and Neural Computing (12 papers)Conducting polymers and applications (12 papers)
- Cited by
- Polymers and PlasticsElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shuqiong Lan
34 papers receiving 797 citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 735
- Polymers and Plastics 335
- Biomedical Engineering 205
- Materials Chemistry 155
- Cellular and Molecular Neuroscience 134
Countries citing papers authored by Shuqiong Lan
This map shows the geographic impact of Shuqiong Lan'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 Shuqiong Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuqiong Lan more than expected).
Fields of papers citing papers by Shuqiong Lan
This network shows the impact of papers produced by Shuqiong Lan. 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 Shuqiong Lan. The network helps show where Shuqiong Lan may publish in the future.
Co-authorship network of co-authors of Shuqiong Lan
This figure shows the co-authorship network connecting the top 25 collaborators of Shuqiong Lan. A scholar is included among the top collaborators of Shuqiong Lan 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 Shuqiong Lan. Shuqiong Lan 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 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 24 | |
| 10 | 61 | |
| 11 | 50 | |
| 12 | 31 | |
| 13 | 5 | |
| 14 | 55 | |
| 15 | 22 | |
| 16 | 82 | |
| 17 | 4 | |
| 18 | 30 | |
| 19 | 19 | |
| 20 | 19 |
About Shuqiong Lan
Shuqiong Lan is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 807 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (18 papers), Advanced Memory and Neural Computing (12 papers) and Conducting polymers and applications (12 papers). The work is most often cited by research in Polymers and Plastics (335 citations), Electrical and Electronic Engineering (735 citations) and Cellular and Molecular Neuroscience (134 citations). Shuqiong Lan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huipeng Chen, Xiaomin Wu, Tailiang Guo, Jianfeng Zhong, Tailiang Guo, Yuan Fang, Huihuang Yang, Guocheng Zhang, Yujie Yan and Enlong Li. Their work appears in journals such as Applied Physics Letters, Advanced Functional Materials and ACS Applied Materials & Interfaces.
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.