Shengchao Liu
- Molecular Biology
- Plant Science top 10%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Artificial Intelligence top 10%
- Co-authors
- Anthony GitterShaojia LiYingyu LiangKunsong ChenYin XDonald GriersonAnima AnandkumarIan Miller
- Topics
- Machine Learning in Materials Science (9 papers)Computational Drug Discovery Methods (9 papers)Aquaculture Nutrition and Growth (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shengchao Liu
32 papers receiving 670 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 239
- Plant Science 183
- Computational Theory and Mathematics 146
- Materials Chemistry 145
- Artificial Intelligence 115
Countries citing papers authored by Shengchao Liu
This map shows the geographic impact of Shengchao 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 Shengchao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengchao Liu more than expected).
Fields of papers citing papers by Shengchao Liu
This network shows the impact of papers produced by Shengchao 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 Shengchao Liu. The network helps show where Shengchao Liu may publish in the future.
Co-authorship network of co-authors of Shengchao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengchao Liu. A scholar is included among the top collaborators of Shengchao 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 Shengchao Liu. Shengchao 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 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Modelsbreakdown → | 79 |
| 10 | 49 | |
| 11 | 70 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | Bad Global Minima Exist and SGD Can Reach Them | 1 |
| 17 | N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules | 6 |
| 18 | 48 | |
| 19 | N-Gram Graph, A Novel Molecule Representation. | 2 |
| 20 | ATOMO: Communication-efficient Learning via Atomic Sparsification | 31 |
About Shengchao Liu
Shengchao Liu is a scholar working on Aquatic Science, Physiology and Computational Theory and Mathematics, having authored 36 papers that have together received 680 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Aquaculture Nutrition and Growth (5 papers). The work is most often cited by research in Computational Theory and Mathematics (146 citations), Plant Science (183 citations) and Health Informatics (6 citations). Shengchao Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anthony Gitter, Shaojia Li, Yingyu Liang, Kunsong Chen, Yin X, Donald Grierson, Anima Anandkumar, Ian Miller, Jesse G. Meyer and Joshua J. Coon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.