Ran Cheng

18.4k total citations · 16 hit papers
209 papers, 12.9k citations indexed

About

Ran Cheng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Ran Cheng has authored 209 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 83 papers in Computational Theory and Mathematics and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Ran Cheng's work include Advanced Multi-Objective Optimization Algorithms (79 papers), Metaheuristic Optimization Algorithms Research (72 papers) and Evolutionary Algorithms and Applications (56 papers). Ran Cheng is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (79 papers), Metaheuristic Optimization Algorithms Research (72 papers) and Evolutionary Algorithms and Applications (56 papers). Ran Cheng collaborates with scholars based in China, United Kingdom and Hong Kong. Ran Cheng's co-authors include Yaochu Jin, Xingyi Zhang, Ye Tian, Bernhard Sendhoff, Markus Olhofer, Cheng He, Xin Yao, Miqing Li, Kay Chen Tan and Fan Cheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Ran Cheng

193 papers receiving 12.7k citations

Hit Papers

PlatEMO: A MATLAB Platfor... 2014 2026 2018 2022 2017 2016 2014 2014 2017 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ran Cheng 8.2k 7.8k 1.4k 1.1k 988 209 12.9k
Gary G. Yen 7.4k 0.9× 5.2k 0.7× 812 0.6× 1.6k 1.4× 888 0.9× 316 12.1k
Thomas Bäck 6.4k 0.8× 3.9k 0.5× 800 0.6× 1.1k 1.0× 1.1k 1.1× 315 12.3k
Andries P. Engelbrecht 9.0k 1.1× 4.5k 0.6× 702 0.5× 1.9k 1.6× 1.3k 1.3× 366 13.5k
Gary B. Lamont 4.8k 0.6× 5.0k 0.6× 1.0k 0.7× 1.4k 1.2× 1.1k 1.1× 129 10.9k
Carlos M. Fonseca 4.4k 0.5× 5.3k 0.7× 1.1k 0.8× 1.4k 1.2× 964 1.0× 77 9.6k
Jing Liang 11.5k 1.4× 7.5k 1.0× 534 0.4× 2.2k 1.9× 2.5k 2.5× 413 17.1k
Boyang Qu 6.6k 0.8× 4.9k 0.6× 446 0.3× 1.0k 0.9× 1.2k 1.3× 168 9.5k
Hisao Ishibuchi 13.3k 1.6× 8.1k 1.0× 3.1k 2.2× 2.3k 2.0× 1.0k 1.0× 610 19.8k
Yong Wang 6.2k 0.7× 5.0k 0.6× 399 0.3× 957 0.8× 1.8k 1.8× 367 12.8k

Countries citing papers authored by Ran Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ran Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Cheng. A scholar is included among the top collaborators of Ran Cheng 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 Ran Cheng. Ran Cheng 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.
Shehzad, Aamir, Ran Cheng, Fang Zhang, & Zhixun Luo. (2025). A Cu 14 (dppy) 7 (dmbt) 3 cluster of chelating structure for enhanced electrocatalytic nitrogen reduction to ammonia. Journal of Materials Chemistry A. 13(40). 34836–34842.
2.
Jin, Yaochu, et al.. (2025). Multi-phase constrained multi-objective optimization via heterogeneous transfer. Information Sciences. 700. 121836–121836. 2 indexed citations
3.
Ma, Yuxin, Zherui Zhang, Ran Cheng, Yaochu Jin, & Kay Chen Tan. (2025). ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. IEEE Computational Intelligence Magazine. 20(1). 78–94. 1 indexed citations
4.
Zhu, Yichen, Jinming Li, Ning Liu, et al.. (2025). TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. IEEE Robotics and Automation Letters. 10(4). 3988–3995. 11 indexed citations
5.
Wu, Xingyu, Yu Zhou, Jibin Wu, et al.. (2025). Evaluation of Large Language Models as Solution Generators in Complex Optimization. IEEE Computational Intelligence Magazine. 20(4). 56–70.
6.
Li, Yuan, et al.. (2024). CTU-Level Adaptive QP Offset Algorithm for V-PCC Using JND and Spatial Complexity. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E107.A(8). 1400–1403. 1 indexed citations
7.
Lu, Zhichao, et al.. (2024). A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 163–166. 1 indexed citations
8.
Zhang, Xingyi, Ran Cheng, Ye Tian, & Yaochu Jin. (2024). Evolutionary Large‐Scale Multi‐Objective Optimization and Applications. 1 indexed citations
9.
Cheng, Ran, et al.. (2024). Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. Proceedings of the Genetic and Evolutionary Computation Conference. 1156–1164. 1 indexed citations
10.
Shehzad, Aamir, Chaonan Cui, Ran Cheng, & Zhixun Luo. (2024). Electrocatalytic nitrogen reduction to ammonia by atomically precise Cu6 nanoclusters supported on graphene oxide. Nanoscale. 16(30). 14441–14447. 5 indexed citations
11.
Wang, Xiangyu, Ran Cheng, & Yaochu Jin. (2024). Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6280–6292. 4 indexed citations
12.
Cheng, Ran, et al.. (2024). EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation. IEEE Transactions on Evolutionary Computation. 29(5). 1649–1662. 16 indexed citations
13.
Zhang, Zherui, Fan Yang, Ran Cheng, & Yuxin Ma. (2024). ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 31(1). 820–830.
14.
Zhang, Zherui, et al.. (2023). A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 6 indexed citations
15.
Hou, Xin, Ran Cheng, Jia Song, et al.. (2021). Effects of rhizome and root trimming on the growth and survival of Phyllospadix iwatensis transplants: a case study in Shandong Peninsula, China. Botanica Marina. 64(3). 189–200. 3 indexed citations
16.
Pan, Linqiang, Lianghao Li, Ran Cheng, Cheng He, & Kay Chen Tan. (2019). Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Transactions on Cybernetics. 51(6). 3325–3337. 19 indexed citations
17.
Tian, Ye, Cheng He, Ran Cheng, & Xingyi Zhang. (2019). A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 51(9). 5880–5894. 98 indexed citations
18.
Tian, Ye, Ran Cheng, Xingyi Zhang, Yansen Su, & Yaochu Jin. (2018). A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation. 23(2). 331–345. 291 indexed citations breakdown →
19.
Tian, Ye, Ran Cheng, Xingyi Zhang, Fan Cheng, & Yaochu Jin. (2017). An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Transactions on Evolutionary Computation. 22(4). 609–622. 528 indexed citations breakdown →
20.
Zhang, Xingyi, Ye Tian, Ran Cheng, & Yaochu Jin. (2016). Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. 1–8. 12 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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