Zhongyang Li
About
In The Last Decade
Zhongyang Li
15 papers receiving 100 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 25
- Management Science and Operations Research 16
- Information Systems 13
- Mathematical Physics 5
Countries citing papers authored by Zhongyang Li
This map shows the geographic impact of Zhongyang 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 Zhongyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongyang Li more than expected).
Fields of papers citing papers by Zhongyang Li
This network shows the impact of papers produced by Zhongyang 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 Zhongyang Li. The network helps show where Zhongyang Li may publish in the future.
Co-authorship network of co-authors of Zhongyang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyang Li. A scholar is included among the top collaborators of Zhongyang 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 Zhongyang Li. Zhongyang 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 40 | |
| 17 | Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training | 17 |
| 18 | 6 | |
| 19 | 5 |
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.