Howard H. Yang
About
In The Last Decade
Howard H. Yang
145 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 3.0k
- Signal Processing 1.8k
- Electrical and Electronic Engineering 1.3k
- Computer Networks and Communications 1.1k
- Analytical Chemistry 672
Countries citing papers authored by Howard H. Yang
This map shows the geographic impact of Howard H. 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 Howard H. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard H. Yang more than expected).
Fields of papers citing papers by Howard H. Yang
This network shows the impact of papers produced by Howard H. 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 Howard H. Yang. The network helps show where Howard H. Yang may publish in the future.
Co-authorship network of co-authors of Howard H. Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Howard H. Yang. A scholar is included among the top collaborators of Howard H. 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 Howard H. Yang. Howard H. 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 69 | |
| 14 | 62 | |
| 15 | Performance Analysis on Federated Learning with Differential Privacy | 3 |
| 16 | 38 | |
| 17 | 24 | |
| 18 | Search for Information Bearing Components in Speech | 3 |
| 19 | Training Multi-Layer Perceptrons by Natural Gradient Descent. | 6 |
| 20 | Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? | 50 |
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.