Chengtao Li
- Artificial Intelligence top 10%
- Topic Modeling 2
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- Computational Drug Discovery Methods 2
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- Earthquake Detection and Analysis 5
- earthquake and tectonic studies 5
- High-pressure geophysics and materials 3
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- Markov Chains and Monte Carlo Methods 3
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- Bioinformatics and Genomic Networks 2
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- Point processes and geometric inequalities 2
- Co-authors
- Stefanie JegelkaTomohiro SonobeKen‐ichi KawarabayashiKeyulu XuYonglong TianLe SongHanjun DaiRegina Barzilay
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsStatistical and Nonlinear Physics
- Journals
- Pure and Applied Geophysics (1 paper)Journal of Medicinal Chemistry (1 paper)Earth and Space Science (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chengtao Li
20 papers receiving 307 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 196
- Computational Theory and Mathematics 66
- Statistical and Nonlinear Physics 40
- Computer Vision and Pattern Recognition 64
- Geophysics 37
Countries citing papers authored by Chengtao Li
This map shows the geographic impact of Chengtao Li'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 Chengtao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengtao Li more than expected).
Fields of papers citing papers by Chengtao Li
This network shows the impact of papers produced by Chengtao Li. 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 Chengtao Li. The network helps show where Chengtao Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chengtao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 47 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 13 | |
| 12 | Representation Learning on Graphs with Jumping Knowledge Networks | 2018 | 131 |
| 13 | 2017 | 3 | |
| 14 | Gaussian quadrature for matrix inverse forms with applications | 2016 | 3 |
| 15 | Efficient Sampling for k-Determinantal Point Processes | 2016 | 5 |
| 16 | Neural Program Lattices | 2016 | 7 |
| 17 | Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling | 2016 | 3 |
| 18 | 2015 | 23 | |
| 19 | Bayesian Max-margin Multi-Task Learning with Data Augmentation | 2014 | 11 |
| 20 | 2013 | 3 |
About Chengtao Li
Chengtao Li is a scholar working on Geophysics, Statistics and Probability, Geology, Applied Mathematics and Computational Theory and Mathematics, having authored 21 papers that have together received 321 indexed citations. Recurring topics across this work include Earthquake Detection and Analysis (5 papers), earthquake and tectonic studies (5 papers), Markov Chains and Monte Carlo Methods (3 papers), High-pressure geophysics and materials (3 papers), Computational Drug Discovery Methods (2 papers), Topic Modeling (2 papers), Bioinformatics and Genomic Networks (2 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Computational Theory and Mathematics (66 citations), Statistical and Nonlinear Physics (40 citations), Computer Vision and Pattern Recognition (64 citations) and Geophysics (37 citations). Chengtao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Stefanie Jegelka, Tomohiro Sonobe, Ken‐ichi Kawarabayashi, Keyulu Xu, Yonglong Tian, Le Song, Hanjun Dai, Regina Barzilay, Yuan Zhang and Kareem Darwish. Their work appears in journals such as Pure and Applied Geophysics, Journal of Medicinal Chemistry, Earth and Space Science, Journal of Seismology and Seismological Research Letters.
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.