Yu Bo
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Mechanical Engineering
- Artificial Intelligence
- Biomedical Engineering
- Topics
- Advanced Memory and Neural Computing (9 papers)Neural Networks and Applications (7 papers)Chaos control and synchronization (7 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yu Bo
41 papers receiving 424 citations
Peers
Comparison fields: 5 of 90
- Electrical and Electronic Engineering 110
- Statistical and Nonlinear Physics 68
- Mechanical Engineering 62
- Artificial Intelligence 54
- Biomedical Engineering 51
Countries citing papers authored by Yu Bo
This map shows the geographic impact of Yu Bo'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 Bo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Bo more than expected).
Fields of papers citing papers by Yu Bo
This network shows the impact of papers produced by Yu Bo. 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 Bo. The network helps show where Yu Bo may publish in the future.
Co-authorship network of co-authors of Yu Bo
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Bo. A scholar is included among the top collaborators of Yu Bo 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 Bo. Yu Bo 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 | 3 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 55 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | Analysis on Strategies of Eco-tourism Landscape Development in Yibin City | 1 |
| 16 | Base Value Reduction Methods with Multi-station Diurnal Variation Correction in Marine Magnetic Survey | 0 |
| 17 | All digital seismic pre-stack reservoir prediction technique and its application for gas exploration in the Sulige area | 1 |
| 18 | Determination of Spacing and Depth of Detecting Lines In Magnetic Substance Detection in Marine Engineering | 0 |
| 19 | Magnetism Detecting Method for Seabed Cable in Marine Engineering Surveying | 2 |
| 20 | AN UNSTRUCTURED ALGORITHM ON COLOCATED GRID SYSTEM | 3 |
About Yu Bo
Yu Bo is a scholar working on Statistical and Nonlinear Physics, Geology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Neural Networks and Applications (7 papers) and Chaos control and synchronization (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (68 citations), Analytical Chemistry (41 citations) and Modeling and Simulation (18 citations). Yu Bo has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yi‐Fei Pu, Yuan Xiao, Weiming Wang, Wen‐Quan Tao, Zuhan Liu, Chengmin Huang, Haipeng Wang, Lili Wang, Zhengwei Zhang and Shuyu Sun. Their work appears in journals such as Journal of Cleaner Production, Food Research International and Applied Thermal Engineering.
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.