Jun ZHANG
Impact in
- Computational Theory and Mathematics top 0.01%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.01%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Metaheuristic Optimization Algorithms Research 341
- Evolutionary Algorithms and Applications 196
-
- Advanced Multi-Objective Optimization Algorithms 243
- Co-authors
- Zhi‐Hui Zhan (184 shared papers)Yun Li (38 shared papers)Henry Shu-Hung Chung (33 shared papers)Wei–Neng Chen (123 shared papers)Yue‐Jiao Gong (85 shared papers)Yuhui Shi (15 shared papers)Ying Lin (48 shared papers)Sam Kwong (45 shared papers)
- Journals
- IEEE Transactions on Cybernetics (65 papers)IEEE Transactions on Evolutionary Computation (49 papers)Applied Soft Computing (16 papers)IEEE Transactions on Intelligent Transportation Systems (13 papers)IEEE Transactions on Systems Man and Cybernetics Systems (13 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun ZHANG
1.7k papers receiving 44.7k citations
Jun ZHANG's Hit Papers
Peers
Comparison fields: 5 of 234
- Computational Theory and Mathematics 9.5k
- Artificial Intelligence 16.3k
- Industrial and Manufacturing Engineering 3.1k
- Computer Networks and Communications 4.9k
- Transportation 1.2k
Countries citing papers authored by Jun ZHANG
This map shows the geographic impact of Jun 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 Jun ZHANG with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun ZHANG more than expected).
Fields of papers citing papers by Jun ZHANG
This network shows the impact of papers produced by Jun 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 Jun ZHANG. The network helps show where Jun ZHANG may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun ZHANG, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 1.8k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The tomato genome sequence provides insights into fleshy fruit evolution Hit paper breakdown → | 2012 | 2625 |
| 2 | Adaptive Particle Swarm Optimization Hit paper breakdown → | 2009 | 1716 |
| 3 | Orthogonal Learning Particle Swarm Optimization Hit paper breakdown → | 2010 | 650 |
| 4 | Dynamical properties of hybrid automata Hit paper breakdown → | 2003 | 625 |
| 5 | ABCluster: the artificial bee colony algorithm for cluster global optimization Hit paper breakdown → | 2015 | 620 |
| 6 | A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training Hit paper breakdown → | 2006 | 615 |
| 7 | Particle Swarm Optimization With an Aging Leader and Challengers Hit paper breakdown → | 2012 | 546 |
| 8 | Query Processing in Spatial Network Databases Hit paper breakdown → | 2003 | 506 |
| 9 | Genetic Learning Particle Swarm Optimization Hit paper breakdown → | 2015 | 478 |
| 10 | Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches Hit paper breakdown → | 2015 | 394 |
| 11 | A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems Hit paper breakdown → | 2009 | 355 |
| 12 | An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing Hit paper breakdown → | 2016 | 348 |
| 13 | Distributed evolutionary algorithms and their models: A survey of the state-of-the-art Hit paper breakdown → | 2015 | 320 |
| 14 | A survey on evolutionary computation for complex continuous optimization Hit paper breakdown → | 2021 | 308 |
| 15 | Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems Hit paper breakdown → | 2012 | 300 |
| 16 | Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms Hit paper breakdown → | 2013 | 298 |
| 17 | 2008 | 293 | |
| 18 | Adaptive Multimodal Continuous Ant Colony Optimization Hit paper breakdown → | 2016 | 280 |
| 19 | Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection Hit paper breakdown → | 2018 | 270 |
| 20 | 2014 | 258 |
About Jun ZHANG
Jun ZHANG is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 1.8k papers that have together received 46.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (341 papers), Advanced Multi-Objective Optimization Algorithms (243 papers), Evolutionary Algorithms and Applications (196 papers), Vehicle Routing Optimization Methods (76 papers), Optical Coherence Tomography Applications (55 papers), Robotic Path Planning Algorithms (47 papers), Complex Network Analysis Techniques (47 papers) and Cloud Computing and Resource Management (37 papers). The work is most often cited by research in Computational Theory and Mathematics (9.5k citations), Artificial Intelligence (16.3k citations), Industrial and Manufacturing Engineering (3.1k citations), Computer Networks and Communications (4.9k citations) and Transportation (1.2k citations). Jun ZHANG has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhi‐Hui Zhan, Yun Li, Henry Shu-Hung Chung, Wei–Neng Chen, Yue‐Jiao Gong, Yuhui Shi, Ying Lin, Sam Kwong, Zhongping Chen and Tianlong Gu. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, Applied Soft Computing, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Systems Man and Cybernetics Systems.
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.