Rong Jin
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 2%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Luo SiSteven C. H. HoiRahul SukthankarZoubin GhahramaniLiu YangTianbao YangMichael R. LyuYi Liu
- Topics
- Face and Expression Recognition (10 papers)Text and Document Classification Technologies (7 papers)Machine Learning and Algorithms (6 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Rong Jin
67 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 819
- Information Systems 418
- Statistical and Nonlinear Physics 227
- Computer Networks and Communications 185
Countries citing papers authored by Rong Jin
This map shows the geographic impact of Rong 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 Rong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Jin more than expected).
Fields of papers citing papers by Rong Jin
This network shows the impact of papers produced by Rong 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 Rong Jin. The network helps show where Rong Jin may publish in the future.
Co-authorship network of co-authors of Rong Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Rong Jin. A scholar is included among the top collaborators of Rong 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 Rong Jin. Rong 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 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD | 1 |
| 7 | 7 | |
| 8 | Efficient Algorithms for Robust One-bit Compressive Sensing | 50 |
| 9 | A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data | 5 |
| 10 | 2 | |
| 11 | Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison | 121 |
| 12 | 9 | |
| 13 | Exclusive Lasso for Multi-task Feature Selection | 108 |
| 14 | Adaptive Regularization for Transductive Support Vector Machine | 17 |
| 15 | 1 | |
| 16 | An efficient algorithm for local distance metric learning | 114 |
| 17 | Semi-supervised multi-label learning by constrained non-negative matrix factorization | 137 |
| 18 | A Probabilistic Approach for Optimizing Spectral Clustering | 26 |
| 19 | Flexible mixture model for collaborative filtering | 220 |
| 20 | Learning with Multiple Labels | 188 |
About Rong Jin
Rong Jin is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Text and Document Classification Technologies (7 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (819 citations) and Computational Mathematics (13 citations). Rong Jin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Luo Si, Steven C. H. Hoi, Rahul Sukthankar, Zoubin Ghahramani, Liu Yang, Tianbao Yang, Michael R. Lyu, Yi Liu, Jianke Zhu and Kang Feng. Their work appears in journals such as Immunity, Scientific Reports and IEEE Transactions on Information Theory.
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.