Yu Gong
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Topics
- Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (8 papers)Network Packet Processing and Optimization (7 papers)
- Journals
- IEEE AccessEnvironmental ResearchIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Partner nations
- ChinaBangladeshFrance
In The Last Decade
Yu Gong
40 papers receiving 287 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 122
- Electrical and Electronic Engineering 121
- Signal Processing 80
- Hardware and Architecture 73
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Yu Gong
This map shows the geographic impact of Yu Gong'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 Yu Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gong more than expected).
Fields of papers citing papers by Yu Gong
This network shows the impact of papers produced by Yu Gong. 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 Yu Gong. The network helps show where Yu Gong may publish in the future.
Co-authorship network of co-authors of Yu Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Gong. A scholar is included among the top collaborators of Yu Gong 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 Yu Gong. Yu Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 50 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | A Hyperspectral Image Compression Algorithm of Maximum Compression Error Controllable | 1 |
| 19 | An Operating System for Hybrid Reconfigurable Systems: Design and Implementation | 1 |
| 20 | Exact schedulability analysis for static-priority global multiprocessor scheduling using model-checking | 19 |
About Yu Gong
Yu Gong is a scholar working on Hardware and Architecture, Signal Processing and Energy Engineering and Power Technology, having authored 47 papers that have together received 295 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Network Packet Processing and Optimization (7 papers). The work is most often cited by research in Hardware and Architecture (73 citations), Signal Processing (80 citations) and Artificial Intelligence (122 citations). Yu Gong has collaborated with scholars based in China, Bangladesh and France. Frequent co-authors include Bo Liu, Wei Ge, Longxing Shi, Zhen Wang, Jun Yang, Yan Li, Yuhao Sun, Hao Cai, Hao Cai and Zilong Zhang. Their work appears in journals such as IEEE Access, Environmental Research and IEEE Transactions on Computer-Aided Design of Integrated 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.