Liyong Zhang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Topics
- Rough Sets and Fuzzy Logic (17 papers)Advanced Clustering Algorithms Research (13 papers)Neural Networks and Applications (12 papers)
In The Last Decade
Liyong Zhang
111 papers receiving 986 citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 431
- Computer Vision and Pattern Recognition 145
- Electrical and Electronic Engineering 126
- Computational Theory and Mathematics 122
- Information Systems 104
Countries citing papers authored by Liyong Zhang
This map shows the geographic impact of Liyong Zhang'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 Liyong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyong Zhang more than expected).
Fields of papers citing papers by Liyong Zhang
This network shows the impact of papers produced by Liyong Zhang. 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 Liyong Zhang. The network helps show where Liyong Zhang may publish in the future.
Co-authorship network of co-authors of Liyong Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Liyong Zhang. A scholar is included among the top collaborators of Liyong Zhang 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 Liyong Zhang. Liyong Zhang 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | Interval Fuzzy C-means Approach for Incomplete Data Clustering Based on Neural Networks | 1 |
| 9 | 22 | |
| 10 | CJPLにおける計画された加速器を用いた漸近巨星分枝星における重要な反応(19)F(p,α)(16)OのGamow窓での断面積の直接測定【Powered by NICT】 | 1 |
| 11 | 27 | |
| 12 | An Improved Algorithm for OFDM Symbol Timing Synchronization | 1 |
| 13 | Fuzzy C-means algorithm with interval-supervised attribute weights | 2 |
| 14 | A New Training Algorithm for RBF Neural Network Based on ACO | 2 |
| 15 | Research on ambiguous words segmentation algorithm based on improved BP neural network | 1 |
| 16 | Research on dynamic path planning of mobile robot based on genetic algorithm | 1 |
| 17 | 7 | |
| 18 | Research on the Signal Characteristic Extraction Method Based on the Time-Frequency Analysis | 1 |
| 19 | Integrated Design Method for Control System Based on Matlab/RTW | 0 |
| 20 | The Situation and Development of Time Division Power Measurement Technology | 2 |
About Liyong Zhang
Liyong Zhang is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 125 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (17 papers), Advanced Clustering Algorithms Research (13 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Artificial Intelligence (431 citations), Signal Processing (103 citations) and Management Science and Operations Research (99 citations). Liyong Zhang has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Wei Lu, Witold Pedrycz, Xiaodong Liu, Chongquan Zhong, Hong Gu, Dan Li, Xiaochen Lai, Xueguan Song, Jianhua Yang and Maolin Shi. Their work appears in journals such as Journal of Applied Physics, Journal of Cleaner Production and Expert Systems with Applications.
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.