Ximing Liang
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 1%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Topics
- Metaheuristic Optimization Algorithms Research (24 papers)Advanced Algorithms and Applications (16 papers)Advanced Multi-Objective Optimization Algorithms (14 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ximing Liang
59 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 773
- Computational Theory and Mathematics 387
- Control and Systems Engineering 224
- Electrical and Electronic Engineering 200
- Computer Vision and Pattern Recognition 138
Countries citing papers authored by Ximing Liang
This map shows the geographic impact of Ximing Liang'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 Ximing Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ximing Liang more than expected).
Fields of papers citing papers by Ximing Liang
This network shows the impact of papers produced by Ximing Liang. 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 Ximing Liang. The network helps show where Ximing Liang may publish in the future.
Co-authorship network of co-authors of Ximing Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Ximing Liang. A scholar is included among the top collaborators of Ximing Liang 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 Ximing Liang. Ximing Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 61 | |
| 4 | 118 | |
| 5 | 134 | |
| 6 | 10 | |
| 7 | LSSVM grey combined forecasting model based on PSO and its application in groundwater dynamic prediction | 1 |
| 8 | 1 | |
| 9 | A Hybrid Evolutionary Algorithm Based on Clustering Good-Point Set Crossover for Constrained Optimization | 0 |
| 10 | Genetic Algorithm for Solving Constrained Optimization Problem | 5 |
| 11 | 23 | |
| 12 | Accelerating Convergency Genetic Algorithm of Improved Operator | 0 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | Double-input and single-output fuzzy control algorithm with potentially-inherited variable universe and its convergence | 1 |
| 16 | Delay independent stability of networked control system with time-varying delays | 0 |
| 17 | 1 | |
| 18 | Comparison Study of LQR and PID Control on a Single Inverted Pendulum | 5 |
| 19 | Modified Algorithm for Map Building in Unknown Environment | 1 |
| 20 | 5 |
About Ximing Liang
Ximing Liang is a scholar working on Numerical Analysis, Control and Systems Engineering and Computational Theory and Mathematics, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). The work is most often cited by research in Computational Theory and Mathematics (387 citations), Artificial Intelligence (773 citations) and Numerical Analysis (67 citations). Ximing Liang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wen Long, Jianjun Jiao, Mingzhu Tang, Shaohong Cai, Tiebin Wu, Ming Xu, Yafei Huang, Yixiong Chen, Ruyun Chen and M.Y.W. Chia. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Energy.
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.