Lijuan Duan
About
In The Last Decade
Lijuan Duan
87 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 420
- Cognitive Neuroscience 321
- Artificial Intelligence 250
- Computer Networks and Communications 148
- Electrical and Electronic Engineering 120
Countries citing papers authored by Lijuan Duan
This map shows the geographic impact of Lijuan Duan'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 Lijuan Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijuan Duan more than expected).
Fields of papers citing papers by Lijuan Duan
This network shows the impact of papers produced by Lijuan Duan. 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 Lijuan Duan. The network helps show where Lijuan Duan may publish in the future.
Co-authorship network of co-authors of Lijuan Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Lijuan Duan. A scholar is included among the top collaborators of Lijuan Duan 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 Lijuan Duan. Lijuan Duan 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 | 2 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 0 | |
| 14 | 18 | |
| 15 | 15 | |
| 16 | 20 | |
| 17 | 44 | |
| 18 | 7 | |
| 19 | BJUT at TREC 2014 Contextual Suggestion Track: Hybrid Recommendation Based on Open-web Information | 4 |
| 20 | 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.