Daliang Li
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- David PolandDavid O. MeltzerAndreas VeitSrinadh BhojanapalliThomas UnterthinerAyan ChakrabartiDaniel GläsnerJared Kaplan
- Topics
- Black Holes and Theoretical Physics (13 papers)Cosmology and Gravitation Theories (10 papers)Particle physics theoretical and experimental studies (7 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Daliang Li
19 papers receiving 690 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Nuclear and High Energy Physics 397
- Astronomy and Astrophysics 222
- Artificial Intelligence 147
- Statistical and Nonlinear Physics 134
- Computer Vision and Pattern Recognition 132
Countries citing papers authored by Daliang Li
This map shows the geographic impact of Daliang 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 Daliang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daliang Li more than expected).
Fields of papers citing papers by Daliang Li
This network shows the impact of papers produced by Daliang 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 Daliang Li. The network helps show where Daliang Li may publish in the future.
Co-authorship network of co-authors of Daliang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Daliang Li. A scholar is included among the top collaborators of Daliang Li 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 Daliang Li. Daliang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | Understanding Robustness of Transformers for Image Classificationbreakdown → | 227 |
| 4 | 18 | |
| 5 | 5 | |
| 6 | An Exact Operator That Knows Its Place | 2 |
| 7 | 27 | |
| 8 | 38 | |
| 9 | 39 | |
| 10 | 20 | |
| 11 | 67 | |
| 12 | 76 | |
| 13 | 28 | |
| 14 | 49 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 23 | |
| 18 | 18 | |
| 19 | 5 |
About Daliang Li
Daliang Li is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Biophysics, having authored 19 papers that have together received 696 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (13 papers), Cosmology and Gravitation Theories (10 papers) and Particle physics theoretical and experimental studies (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (397 citations), Astronomy and Astrophysics (222 citations) and Computational Mathematics (7 citations). Daliang Li has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include David Poland, David O. Meltzer, Andreas Veit, Srinadh Bhojanapalli, Thomas Unterthiner, Ayan Chakrabarti, Daniel Gläsner, Jared Kaplan, A. Liam Fitzpatrick and Junpu Wang. Their work appears in journals such as Optics Express, Journal of High Energy Physics and Journal of Molecular Modeling.
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.