Hongxia Jin
About
In The Last Decade
Hongxia Jin
139 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 1.3k
- Information Systems 534
- Sociology and Political Science 501
- Computer Vision and Pattern Recognition 428
- Signal Processing 417
Countries citing papers authored by Hongxia Jin
This map shows the geographic impact of Hongxia Jin'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 Hongxia Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongxia Jin more than expected).
Fields of papers citing papers by Hongxia Jin
This network shows the impact of papers produced by Hongxia Jin. 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 Hongxia Jin. The network helps show where Hongxia Jin may publish in the future.
Co-authorship network of co-authors of Hongxia Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Hongxia Jin. A scholar is included among the top collaborators of Hongxia Jin 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 Hongxia Jin. Hongxia Jin 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 | 16 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning | 16 |
| 11 | 1 | |
| 12 | 14 | |
| 13 | A New Concept of Deep Reinforcement Learning based Augmented General Tagging System | 10 |
| 14 | 70 | |
| 15 | 43 | |
| 16 | Efficient private empirical risk minimization for high-dimensional learning | 16 |
| 17 | 9 | |
| 18 | 113 | |
| 19 | User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. | 12 |
| 20 | 54 |
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.