Zonghang Li
About
In The Last Decade
Zonghang Li
36 papers receiving 946 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 346
- Computer Networks and Communications 307
- Electrical and Electronic Engineering 190
- Information Systems 185
- Biomedical Engineering 90
Countries citing papers authored by Zonghang Li
This map shows the geographic impact of Zonghang 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 Zonghang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zonghang Li more than expected).
Fields of papers citing papers by Zonghang Li
This network shows the impact of papers produced by Zonghang 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 Zonghang Li. The network helps show where Zonghang Li may publish in the future.
Co-authorship network of co-authors of Zonghang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zonghang Li. A scholar is included among the top collaborators of Zonghang 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 Zonghang Li. Zonghang 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization breakdown → | 111 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | Diffusion-Based Reinforcement Learning for Edge-Enabled AI-Generated Content Services breakdown → | 90 |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 37 | |
| 14 | 41 | |
| 15 | 100 | |
| 16 | 113 | |
| 17 | 8 | |
| 18 | 9 | |
| 19 | 35 | |
| 20 | 23 |
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.