Cong Shi
Impact in
-
- Advanced Memory and Neural Computing
- Silicon Carbide Semiconductor Technologies
- Low-power high-performance VLSI design
-
- Advanced Neural Network Applications
- Context-Aware Activity Recognition Systems
Papers in
-
- Advanced Memory and Neural Computing 28
- Silicon Carbide Semiconductor Technologies 4
-
- Advanced Neural Network Applications 7
- Advanced Vision and Imaging 2
- Co-authors
- Ying Wang (12 shared papers)Gang Luo (13 shared papers)Nanjian Wu (24 shared papers)Liyuan Liu (25 shared papers)Xichuan Zhou (22 shared papers)Min Tian (19 shared papers)Ping Li (8 shared papers)Haibing Wang (12 shared papers)
- Journals
- IEEE Transactions on Circuits & Systems II Express Briefs (10 papers)Sensors (5 papers)IEEE Transactions on Circuits and Systems I Regular Papers (3 papers)IEEE Transactions on Electron Devices (3 papers)IEEE Transactions on Biomedical Circuits and Systems (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Cong Shi
60 papers receiving 496 citations
Peers
Comparison fields: 5 of 40
- Electrical and Electronic Engineering 245
- Computer Vision and Pattern Recognition 49
- Media Technology 15
- Artificial Intelligence 20
- Cognitive Neuroscience 9
Countries citing papers authored by Cong Shi
This map shows the geographic impact of Cong Shi'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 Cong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Shi more than expected).
Fields of papers citing papers by Cong Shi
This network shows the impact of papers produced by Cong Shi. 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 Cong Shi. The network helps show where Cong Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 35 | |
| 2 | 2018 | 34 | |
| 3 | 2021 | 27 | |
| 4 | 2020 | 23 | |
| 5 | 2023 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2024 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2016 | 8 |
About Cong Shi
Cong Shi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Media Technology, Environmental Engineering and Artificial Intelligence, having authored 67 papers that have together received 503 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Advanced Neural Network Applications (7 papers), Silicon Carbide Semiconductor Technologies (4 papers), Advanced Vision and Imaging (2 papers), Sentiment Analysis and Opinion Mining (1 paper), Reinforcement Learning in Robotics (1 paper), Analog and Mixed-Signal Circuit Design (1 paper) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (245 citations), Computer Vision and Pattern Recognition (49 citations), Media Technology (15 citations), Artificial Intelligence (20 citations) and Cognitive Neuroscience (9 citations). Cong Shi has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Ying Wang, Gang Luo, Nanjian Wu, Liyuan Liu, Xichuan Zhou, Min Tian, Ping Li, Haibing Wang, Yingcheng Lin and Fang Tang. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Sensors, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Electron Devices and IEEE Transactions on Biomedical Circuits and Systems.
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.