Jiashen Cao
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Co-authors
- Hyesoon KimRamyad HadidiMichael S. RyooBahar AsgariTushar KrishnaSung Kyu LimJoy ArulrajMatteo Interlandi
- Topics
- Advanced Neural Network Applications (10 papers)IoT and Edge/Fog Computing (6 papers)Stochastic Gradient Optimization Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureComputer Networks and Communications
- Journals
- IEEE Internet of Things JournalProceedings of the VLDB EndowmentIEEE Robotics and Automation Letters
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jiashen Cao
17 papers receiving 347 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 173
- Computer Networks and Communications 163
- Artificial Intelligence 127
- Electrical and Electronic Engineering 94
- Hardware and Architecture 56
Countries citing papers authored by Jiashen Cao
This map shows the geographic impact of Jiashen Cao'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 Jiashen Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiashen Cao more than expected).
Fields of papers citing papers by Jiashen Cao
This network shows the impact of papers produced by Jiashen Cao. 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 Jiashen Cao. The network helps show where Jiashen Cao may publish in the future.
Co-authorship network of co-authors of Jiashen Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Jiashen Cao. A scholar is included among the top collaborators of Jiashen Cao 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 Jiashen Cao. Jiashen Cao 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 | 1 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 55 | |
| 9 | 71 | |
| 10 | Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. | 1 |
| 11 | Late Breaking Results: Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing ∗ | 1 |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 70 | |
| 17 | 29 | |
| 18 | 63 |
About Jiashen Cao
Jiashen Cao is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), IoT and Edge/Fog Computing (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Hardware and Architecture (56 citations) and Computer Networks and Communications (163 citations). Jiashen Cao has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Hyesoon Kim, Ramyad Hadidi, Michael S. Ryoo, Bahar Asgari, Tushar Krishna, Sung Kyu Lim, Joy Arulraj, Matteo Interlandi, Rathijit Sen and Bingyao Wang. Their work appears in journals such as IEEE Internet of Things Journal, Proceedings of the VLDB Endowment and IEEE Robotics and Automation Letters.
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.