Jun Kang Chow
About
In The Last Decade
Jun Kang Chow
22 papers receiving 561 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Civil and Structural Engineering 339
- Management, Monitoring, Policy and Law 102
- Artificial Intelligence 86
- Mechanical Engineering 68
- Industrial and Manufacturing Engineering 67
Countries citing papers authored by Jun Kang Chow
This map shows the geographic impact of Jun Kang Chow'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 Jun Kang Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kang Chow more than expected).
Fields of papers citing papers by Jun Kang Chow
This network shows the impact of papers produced by Jun Kang Chow. 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 Jun Kang Chow. The network helps show where Jun Kang Chow may publish in the future.
Co-authorship network of co-authors of Jun Kang Chow
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kang Chow. A scholar is included among the top collaborators of Jun Kang Chow 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 Jun Kang Chow. Jun Kang Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 9 | |
| 4 | 76 | |
| 5 | 5 | |
| 6 | 39 | |
| 7 | 50 | |
| 8 | Anomaly detection of defects on concrete structures with the convolutional autoencoder breakdown → | 224 |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 25 | |
| 14 | 8 | |
| 15 | Customizable and scalable geotechnical laboratory testing and field monitoring with new sensing and big data technologies | 1 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 53 | |
| 19 | 1 | |
| 20 | 1 |
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.