Lihang Liu
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Materials Chemistry
- Artificial Intelligence
- Oncology
- Co-authors
- Xiaomin FangHaifeng WangHua WuShanzhuo ZhangFan WangDonglong HeJingbo ZhouWeihua Li
- Topics
- Protein Structure and Dynamics (3 papers)Computational Drug Discovery Methods (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsScientific Reports
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lihang Liu
24 papers receiving 585 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computational Theory and Mathematics 290
- Molecular Biology 266
- Materials Chemistry 252
- Artificial Intelligence 69
- Oncology 30
Countries citing papers authored by Lihang Liu
This map shows the geographic impact of Lihang 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 Lihang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihang Liu more than expected).
Fields of papers citing papers by Lihang Liu
This network shows the impact of papers produced by Lihang 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 Lihang Liu. The network helps show where Lihang Liu may publish in the future.
Co-authorship network of co-authors of Lihang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Lihang Liu. A scholar is included among the top collaborators of Lihang 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 Lihang Liu. Lihang 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 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 46 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | Geometry-enhanced molecular representation learning for property predictionbreakdown → | 337 |
| 10 | 3 | |
| 11 | 38 | |
| 12 | 9 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | Not all mutations of KRAS predict poor prognosis in patients with colorectal cancer. | 22 |
| 19 | 14 | |
| 20 | 5 |
About Lihang Liu
Lihang Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Signal Processing, having authored 24 papers that have together received 598 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (290 citations), Materials Chemistry (252 citations) and Molecular Biology (266 citations). Lihang Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaomin Fang, Haifeng Wang, Hua Wu, Shanzhuo Zhang, Fan Wang, Donglong He, Jingbo Zhou, Weihua Li, Xuefei Cheng and Shaoxin Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.
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.