Wenhao Yang
About
In The Last Decade
Wenhao Yang
8 papers receiving 152 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 144
- Computer Networks and Communications 43
- Electrical and Electronic Engineering 39
- Computer Science Applications 37
- Management Science and Operations Research 7
Countries citing papers authored by Wenhao Yang
This map shows the geographic impact of Wenhao Yang'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 Wenhao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenhao Yang more than expected).
Fields of papers citing papers by Wenhao Yang
This network shows the impact of papers produced by Wenhao Yang. 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 Wenhao Yang. The network helps show where Wenhao Yang may publish in the future.
Co-authorship network of co-authors of Wenhao Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenhao Yang. A scholar is included among the top collaborators of Wenhao Yang 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 Wenhao Yang. Wenhao Yang 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 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | On the Convergence of FedAvg on Non-IID Data | 128 |
| 7 | A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning | 3 |
| 8 | A Unified Framework for Regularized Reinforcement Learning. | 1 |
| 9 | Communication Efficient Decentralized Training with Multiple Local Updates. | 14 |
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.