Shengda Liu
- Materials Chemistry top 10%
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- JinRong WangJiayun XuTengfei YanHongcheng SunAmar DebboucheQuan LuoShuangshi DongJunqiu Liu
- Topics
- Iterative Learning Control Systems (15 papers)Molecular Sensors and Ion Detection (14 papers)Supramolecular Self-Assembly in Materials (14 papers)
- Cited by
- Modeling and SimulationRenewable Energy, Sustainability and the EnvironmentMaterials Chemistry
- Journals
- Advanced MaterialsAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ChinaSlovakiaSaudi Arabia
In The Last Decade
Shengda Liu
94 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Materials Chemistry 632
- Biomedical Engineering 316
- Control and Systems Engineering 291
- Molecular Biology 284
- Electrical and Electronic Engineering 273
Countries citing papers authored by Shengda Liu
This map shows the geographic impact of Shengda Liu'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 Shengda Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengda Liu more than expected).
Fields of papers citing papers by Shengda Liu
This network shows the impact of papers produced by Shengda Liu. 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 Shengda Liu. The network helps show where Shengda Liu may publish in the future.
Co-authorship network of co-authors of Shengda Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengda Liu. A scholar is included among the top collaborators of Shengda Liu 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 Shengda Liu. Shengda Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 16 | |
| 18 | 16 | |
| 19 | 13 | |
| 20 | 13 |
About Shengda Liu
Shengda Liu is a scholar working on Modeling and Simulation, Biomaterials and Control and Systems Engineering, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (15 papers), Molecular Sensors and Ion Detection (14 papers) and Supramolecular Self-Assembly in Materials (14 papers). The work is most often cited by research in Modeling and Simulation (133 citations), Renewable Energy, Sustainability and the Environment (240 citations) and Materials Chemistry (632 citations). Shengda Liu has collaborated with scholars based in China, Slovakia and Saudi Arabia. Frequent co-authors include JinRong Wang, Jiayun Xu, Tengfei Yan, Hongcheng Sun, Amar Debbouche, Quan Luo, Shuangshi Dong, Junqiu Liu, Junqiu Liu and Jingjing Jiang. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.