Longquan Yong
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 16
- Iterative Methods for Nonlinear Equations 5
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- Advanced Multi-Objective Optimization Algorithms 11
- Matrix Theory and Algorithms 7
- Polynomial and algebraic computation 4
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 20
- Evolutionary Algorithms and Applications 7
- Modeling and Simulation top 10%
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- Advanced Sensor and Control Systems 3
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)IEEE Access (1 paper)
- Partner nations
- China
In The Last Decade
Longquan Yong
41 papers receiving 312 citations
Peers
Comparison fields: 5 of 76
- Numerical Analysis 68
- Computational Theory and Mathematics 100
- Artificial Intelligence 151
- Modeling and Simulation 20
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Longquan Yong
This map shows the geographic impact of Longquan Yong'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 Longquan Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longquan Yong more than expected).
Fields of papers citing papers by Longquan Yong
This network shows the impact of papers produced by Longquan Yong. 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 Longquan Yong. The network helps show where Longquan Yong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Longquan Yong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 19 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2017 | 30 | |
| 8 | NOVEL GLOBAL HARMONY SEARCH ALGORITHM FOR MONOTONE LINEAR COMPLEMENTARITY PROBLEM | 2014 | 1 |
| 9 | 2014 | 22 | |
| 10 | Survey of teaching-learning-based optimization algorithms | 2013 | 5 |
| 11 | Absolute Value Equations with 2~n-Solutions | 2013 | 0 |
| 12 | 2012 | 3 | |
| 13 | Regular Semigroups of N(2,2,0)Algebra | 2012 | 0 |
| 14 | 2011 | 5 | |
| 15 | A NEW METHOD FOR ABSOLUTE VALUE EQUATIONS BASED ON HARMONY SEARCH ALGORITHM | 2011 | 6 |
| 16 | Differential evolution-simplex hybrid algorithm for absolute value equations | 2011 | 0 |
| 17 | 2011 | 2 | |
| 18 | Maximum entropy social cognitive optimization algorithm for a class of nonlinear minimax problems | 2010 | 1 |
| 19 | A Novel Model of Determining Objective Weights Based on the Maximal Deviation | 2010 | 2 |
| 20 | Some Methods for Solving Linear Programming | 2007 | 1 |
About Longquan Yong
Longquan Yong is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence, having authored 51 papers that have together received 330 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Evolutionary Algorithms and Applications (7 papers), Matrix Theory and Algorithms (7 papers), Iterative Methods for Nonlinear Equations (5 papers), Polynomial and algebraic computation (4 papers) and Advanced Sensor and Control Systems (3 papers). The work is most often cited by research in Numerical Analysis (68 citations), Computational Theory and Mathematics (100 citations) and Artificial Intelligence (151 citations). Longquan Yong has collaborated with scholars based in China. Frequent co-authors include Shouheng Tuo, Jianke Zhang, Sanyang Liu, Quanxi Feng, Tao Zhou, Guoping Yang, Peiyou Li, Fangyi Wan, Yanhai Li and Xiguo Yuan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.