Chong Jin Ong
About
In The Last Decade
Chong Jin Ong
31 papers receiving 787 citations
Peers
Comparison fields: 5 of 92
- Biomedical Engineering 282
- Control and Systems Engineering 240
- Computer Vision and Pattern Recognition 190
- Electrical and Electronic Engineering 118
- Cognitive Neuroscience 107
Countries citing papers authored by Chong Jin Ong
This map shows the geographic impact of Chong Jin Ong'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 Chong Jin Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Jin Ong more than expected).
Fields of papers citing papers by Chong Jin Ong
This network shows the impact of papers produced by Chong Jin Ong. 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 Chong Jin Ong. The network helps show where Chong Jin Ong may publish in the future.
Co-authorship network of co-authors of Chong Jin Ong
This figure shows the co-authorship network connecting the top 25 collaborators of Chong Jin Ong. A scholar is included among the top collaborators of Chong Jin Ong 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 Chong Jin Ong. Chong Jin Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 52 | |
| 4 | Fast rate analysis of some stochastic optimization algorithms | 1 |
| 5 | 2 | |
| 6 | 36 | |
| 7 | 236 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 117 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 25 | |
| 17 | A Unified Loss Function in Bayesian Framework for Support Vector Regression | 16 |
| 18 | 57 | |
| 19 | 26 | |
| 20 | 63 |
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.