Lihua Yue
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Topics
- Advanced Data Storage Technologies (24 papers)Data Management and Algorithms (23 papers)Caching and Content Delivery (23 papers)
In The Last Decade
Lihua Yue
92 papers receiving 849 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 350
- Artificial Intelligence 281
- Computer Vision and Pattern Recognition 195
- Information Systems 188
- Signal Processing 136
Countries citing papers authored by Lihua Yue
This map shows the geographic impact of Lihua Yue'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 Lihua Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihua Yue more than expected).
Fields of papers citing papers by Lihua Yue
This network shows the impact of papers produced by Lihua Yue. 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 Lihua Yue. The network helps show where Lihua Yue may publish in the future.
Co-authorship network of co-authors of Lihua Yue
This figure shows the co-authorship network connecting the top 25 collaborators of Lihua Yue. A scholar is included among the top collaborators of Lihua Yue 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 Lihua Yue. Lihua Yue 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 | 4 | |
| 3 | 4 | |
| 4 | TTP: a Topic Time Parser on Chinese News from Internet | 0 |
| 5 | 15 | |
| 6 | Semantics and Modeling of Indoor Moving Objects | 7 |
| 7 | 29 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | Study on ship detection with improved Dempster-Shafer theory | 2 |
| 11 | An out-page logging approach to storage management in flash-based DBMS | 0 |
| 12 | NBR-tree:A Novel Spatio-temporal Index for Urban Traffic Networks | 1 |
| 13 | 9 | |
| 14 | Ship Detection in Remote Sensing Images with Complex Sea Surface Background | 6 |
| 15 | 3 | |
| 16 | Detecting Geographical Serving Area of Web Resources | 5 |
| 17 | The Monte Carlo Algorithm to Evaluate the Cover Quality of Object Points in Wireless Sensor Network | 1 |
| 18 | Smallest Set of 2-D Topological Spatial Relationship and Its Implementation in Spatiotemporal Data Model | 1 |
| 19 | An Extension to the ADT-based Spatiotemporal Data Model. | 1 |
| 20 | 0 |
About Lihua Yue
Lihua Yue is a scholar working on Signal Processing, Computer Networks and Communications and Geography, Planning and Development, having authored 101 papers that have together received 889 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (24 papers), Data Management and Algorithms (23 papers) and Caching and Content Delivery (23 papers). The work is most often cited by research in Computer Networks and Communications (350 citations), Signal Processing (136 citations) and Hardware and Architecture (80 citations). Lihua Yue has collaborated with scholars based in China, Hong Kong and Denmark. Frequent co-authors include Peiquan Jin, Wenjian Luo, Shouhong Wan, Chenyang Bu, Zhi Li, Yu Xia, Tao Zhu, Qiang Ji, Shangfei Wang and Yachen Zhu. Their work appears in journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and Computers & Education.
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.