Pan Zhou
About
In The Last Decade
Pan Zhou
57 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 599
- Computational Mechanics 326
- Media Technology 296
- Computational Mathematics 271
Countries citing papers authored by Pan Zhou
This map shows the geographic impact of Pan Zhou'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 Pan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Zhou more than expected).
Fields of papers citing papers by Pan Zhou
This network shows the impact of papers produced by Pan Zhou. 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 Pan Zhou. The network helps show where Pan Zhou may publish in the future.
Co-authorship network of co-authors of Pan Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Pan Zhou. A scholar is included among the top collaborators of Pan Zhou 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 Pan Zhou. Pan Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models breakdown → | 57 |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML | 15 |
| 12 | Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond | 1 |
| 13 | 23 | |
| 14 | Efficient Meta Learning via Minibatch Proximal Update | 14 |
| 15 | 113 | |
| 16 | Empirical Risk Landscape Analysis for Understanding Deep Neural Networks | 4 |
| 17 | New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity | 4 |
| 18 | Efficient Stochastic Gradient Hard Thresholding | 7 |
| 19 | Understanding Generalization and Optimization Performance of Deep CNNs | 3 |
| 20 | Moving target detection and location based on millimeter-wave InISAR imaging | 3 |
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.