Chaoda Peng

523 total citations
23 papers, 385 citations indexed

About

Chaoda Peng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Chaoda Peng has authored 23 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Chaoda Peng's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Evolutionary Algorithms and Applications (8 papers). Chaoda Peng is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Evolutionary Algorithms and Applications (8 papers). Chaoda Peng collaborates with scholars based in China, United States and Macao. Chaoda Peng's co-authors include Hai‐Lin Liu, Fangqing Gu, Erik D. Goodman, Yuan Wu, Xumin Huang, Jiawen Kang, Long Qi, Yuan Yuan, Jinrong Cui and Shengli Xie and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Chaoda Peng

19 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaoda Peng China 12 217 217 86 81 67 23 385
Nengxian Liu China 8 255 1.2× 177 0.8× 29 0.3× 65 0.8× 54 0.8× 13 374
Yintong Li China 11 330 1.5× 149 0.7× 33 0.4× 43 0.5× 29 0.4× 19 426
Shoufei Han China 11 229 1.1× 82 0.4× 63 0.7× 74 0.9× 56 0.8× 19 379
Tim Hendtlass Australia 14 291 1.3× 193 0.9× 35 0.4× 38 0.5× 52 0.8× 45 423
Zhenglei Wei China 9 232 1.1× 74 0.3× 57 0.7× 52 0.6× 18 0.3× 30 329
Ahmet Babalık Türkiye 7 191 0.9× 114 0.5× 21 0.2× 31 0.4× 28 0.4× 17 321
Doaa El-Shahat Egypt 4 190 0.9× 81 0.4× 19 0.2× 47 0.6× 54 0.8× 10 347
Karin Zielinski Germany 8 244 1.1× 193 0.9× 26 0.3× 29 0.4× 47 0.7× 14 411
Ruwang Jiao China 14 521 2.4× 486 2.2× 46 0.5× 35 0.4× 22 0.3× 24 723
Tien-Szu Pan Taiwan 10 143 0.7× 50 0.2× 35 0.4× 96 1.2× 89 1.3× 23 344

Countries citing papers authored by Chaoda Peng

Since Specialization
Citations

This map shows the geographic impact of Chaoda Peng'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 Chaoda Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoda Peng more than expected).

Fields of papers citing papers by Chaoda Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaoda Peng. 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 Chaoda Peng. The network helps show where Chaoda Peng may publish in the future.

Co-authorship network of co-authors of Chaoda Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoda Peng. A scholar is included among the top collaborators of Chaoda Peng 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 Chaoda Peng. Chaoda Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xie, Qingguo, et al.. (2025). Terrain-Aware UAV-Enabled Mobile Edge Computing in Urban Environments: A Constrained Multi-Objective Approach With Task-Adaptive Mechanism. IEEE Transactions on Vehicular Technology. 75(2). 3160–3173.
2.
Xiang, Yi, et al.. (2025). Unsupervised feature selection with evolutionary sparsity. Neural Networks. 189. 107512–107512. 1 indexed citations
3.
Lin, Weiwei, et al.. (2025). Dynamic Client Selection for Over-the-Air Federated Learning Network. IEEE Internet of Things Journal. 12(12). 18508–18519.
4.
Peng, Chaoda, et al.. (2025). Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization. IEEE Transactions on Evolutionary Computation. 1–1.
5.
Liang, Yun, et al.. (2024). Code Multiview Hypergraph Representation Learning for Software Defect Prediction. IEEE Transactions on Reliability. 73(4). 1863–1876. 3 indexed citations
6.
Peng, Chaoda, Xumin Huang, Yuan Wu, et al.. (2024). Joint Energy and Completion Time Difference Minimization for UAV-Enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach. IEEE Transactions on Intelligent Transportation Systems. 25(10). 14040–14053. 17 indexed citations
7.
Xie, Shumin, et al.. (2023). A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 29(1). 31–45. 13 indexed citations
8.
Peng, Chaoda, et al.. (2023). DFCCNet: A Dense Flock of Chickens Counting Network Based on Density Map Regression. Animals. 13(23). 3729–3729. 3 indexed citations
9.
Huang, Xumin, Chaoda Peng, Yuan Wu, et al.. (2023). Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach. IEEE Internet of Things Journal. 10(23). 20368–20382. 11 indexed citations
10.
Peng, Chaoda, et al.. (2022). A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning. Applied Soft Computing. 118. 108495–108495. 41 indexed citations
11.
Peng, Chaoda, Xumin Huang, Yuan Wu, & Jiawen Kang. (2022). Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning. IEEE Wireless Communications Letters. 11(4). 861–865. 47 indexed citations
12.
Peng, Chaoda, Hai‐Lin Liu, Erik D. Goodman, & Kay Chen Tan. (2021). A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowledge-Based Systems. 239. 107933–107933. 12 indexed citations
13.
Peng, Chaoda, Hai‐Lin Liu, & Erik D. Goodman. (2020). Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance. Swarm and Evolutionary Computation. 55. 100676–100676. 19 indexed citations
15.
Peng, Chaoda, Hai‐Lin Liu, & Fangqing Gu. (2017). A novel constraint-handling technique based on dynamic weights for constrained optimization problems. Soft Computing. 22(12). 3919–3935. 32 indexed citations
16.
Liu, Hai‐Lin, et al.. (2017). The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization. 9. 82–86. 1 indexed citations
17.
Yuan, Jiawei, Hai‐Lin Liu, & Chaoda Peng. (2016). Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems. International Journal of Pattern Recognition and Artificial Intelligence. 31(4). 1759006–1759006. 10 indexed citations
18.
Peng, Chaoda & Hai‐Lin Liu. (2016). A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization. 18. 129–134. 1 indexed citations
19.
Liu, Hai‐Lin, et al.. (2015). A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive. International Journal of Pattern Recognition and Artificial Intelligence. 30(1). 1659002–1659002. 17 indexed citations
20.
Chen, Lei, Chaoda Peng, Hai‐Lin Liu, & Shengli Xie. (2015). An improved covariance matrix leaning and searching preference algorithm for solving CEC 2015 benchmark problems. 1041–1045. 7 indexed citations

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.

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