Zhaoping Xiong
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Artificial Intelligence top 10%
- Co-authors
- Mingyue ZhengHualiang JiangKaixian ChenXiaomin LuoXutong LiXiaohong LiuFeisheng ZhongZhaojun Li
- Topics
- Computational Drug Discovery Methods (15 papers)Machine Learning in Materials Science (12 papers)Protein Structure and Dynamics (5 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Zhaoping Xiong
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 1.1k
- Molecular Biology 828
- Materials Chemistry 647
- Organic Chemistry 169
- Artificial Intelligence 164
Countries citing papers authored by Zhaoping Xiong
This map shows the geographic impact of Zhaoping Xiong'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 Zhaoping Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoping Xiong more than expected).
Fields of papers citing papers by Zhaoping Xiong
This network shows the impact of papers produced by Zhaoping Xiong. 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 Zhaoping Xiong. The network helps show where Zhaoping Xiong may publish in the future.
Co-authorship network of co-authors of Zhaoping Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoping Xiong. A scholar is included among the top collaborators of Zhaoping Xiong 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 Zhaoping Xiong. Zhaoping Xiong 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 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Fine-tuning large language models for chemical text miningbreakdown → | 51 |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 125 | |
| 12 | 28 | |
| 13 | 135 | |
| 14 | 31 | |
| 15 | 35 | |
| 16 | Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanismbreakdown → | 645 |
| 17 | 62 | |
| 18 | 36 | |
| 19 | 158 | |
| 20 | 266 |
About Zhaoping Xiong
Zhaoping Xiong is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (12 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Health Informatics (29 citations) and Materials Chemistry (647 citations). Zhaoping Xiong has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mingyue Zheng, Hualiang Jiang, Kaixian Chen, Xiaomin Luo, Xutong Li, Xiaohong Liu, Feisheng Zhong, Zhaojun Li, Dingyan Wang and Xiaozhe Wan. Their work appears in journals such as Bioinformatics, Journal of Medicinal Chemistry and Chemical Science.
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.