Steve Chien
About
In The Last Decade
Steve Chien
299 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.8k
- Computer Networks and Communications 1.3k
- Aerospace Engineering 992
- Astronomy and Astrophysics 540
- Computer Vision and Pattern Recognition 533
Countries citing papers authored by Steve Chien
This map shows the geographic impact of Steve Chien'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 Steve Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Chien more than expected).
Fields of papers citing papers by Steve Chien
This network shows the impact of papers produced by Steve Chien. 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 Steve Chien. The network helps show where Steve Chien may publish in the future.
Co-authorship network of co-authors of Steve Chien
This figure shows the co-authorship network connecting the top 25 collaborators of Steve Chien. A scholar is included among the top collaborators of Steve Chien 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 Steve Chien. Steve Chien 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 | 1 | |
| 3 | 4 | |
| 4 | Design and performance of an integrated ground and space sensor web for monitoring active volcanoes. | 2 |
| 5 | Improving the Operations of the Earth Observing One Mission via Automated Mission Planning | 6 |
| 6 | Onboard Clustering of Aerial Data for Improved Science Return | 1 |
| 7 | Results from Automated cloud and dust devil detection onboard the MER | 1 |
| 8 | Probabilistic reasoning for plan robustness | 1 |
| 9 | An onboard data analysis method to track the seasonal polar caps on Mars | 8 |
| 10 | Streamlining Spacecraft Observation Response to Volcanic Activity Detection with a Ground and Space-based Sensor Web System. | 2 |
| 11 | Ground and Space-based Sensor Web System: Streamlining Spacecraft Observation Response to Flood Detection. | 1 |
| 12 | Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference | 3 |
| 13 | Using generic preferences to incrementally improve plan quality | 23 |
| 14 | Using iterative repair to automate planning and scheduling of shuttle payload operations | 9 |
| 15 | An Integrated Architecture for Co-operating Rovers | 4 |
| 16 | Using artificial intelligence planning to automate SAR image processing for scientific data analysis | 1 |
| 17 | Why real-world planning is difficult: a tale of two applications | 17 |
| 18 | 1 | |
| 19 | Improving learning performance through rational resource allocation | 8 |
| 20 | Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 | 3 |
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.