Yaochu Jin

55.7k total citations · 40 hit papers
611 papers, 37.0k citations indexed

About

Yaochu Jin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Yaochu Jin has authored 611 papers receiving a total of 37.0k indexed citations (citations by other indexed papers that have themselves been cited), including 424 papers in Artificial Intelligence, 290 papers in Computational Theory and Mathematics and 53 papers in Management Science and Operations Research. Recurrent topics in Yaochu Jin's work include Advanced Multi-Objective Optimization Algorithms (281 papers), Metaheuristic Optimization Algorithms Research (267 papers) and Evolutionary Algorithms and Applications (191 papers). Yaochu Jin is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (281 papers), Metaheuristic Optimization Algorithms Research (267 papers) and Evolutionary Algorithms and Applications (191 papers). Yaochu Jin collaborates with scholars based in China, United Kingdom and Germany. Yaochu Jin's co-authors include Ran Cheng, Xingyi Zhang, Ye Tian, Bernhard Sendhoff, Markus Olhofer, Handing Wang, Juergen Branke, Qingfu Zhang, Aimin Zhou and Chaoli Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Yaochu Jin

573 papers receiving 36.2k citations

Hit Papers

PlatEMO: A MATLAB Platform for ... 2002 2026 2010 2018 2017 2016 2005 2011 2003 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
    2017 1.8k citations Ye Tian, Ran Cheng et al. profile →
  2. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
    2016 1.2k citations Ran Cheng, Yaochu Jin et al. profile →
  3. Evolutionary Optimization in Uncertain Environments—A Survey
    2005 1.0k citations Yaochu Jin et al. profile →
  4. Surrogate-assisted evolutionary computation: Recent advances and future challenges
    2011 963 citations Yaochu Jin Swarm and Evolutionary Computation profile →
  5. A comprehensive survey of fitness approximation in evolutionary computation
    2003 837 citations Yaochu Jin profile →
  6. A Competitive Swarm Optimizer for Large Scale Optimization
    2014 803 citations Ran Cheng, Yaochu Jin profile →
  7. A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
    2014 662 citations Xingyi Zhang, Ye Tian et al. profile →
  8. RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
    2008 628 citations Yaochu Jin et al. profile →
  9. A social learning particle swarm optimization algorithm for scalable optimization
    2014 588 citations Ran Cheng, Yaochu Jin Information Sciences profile →
  10. Federated learning on non-IID data: A survey
    2021 543 citations Shiqing Liu, Yaochu Jin et al. Neurocomputing profile →
  11. An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility
    2017 528 citations Ye Tian, Ran Cheng et al. profile →
  12. A framework for evolutionary optimization with approximate fitness functions
    2002 471 citations Yaochu Jin, Bernhard Sendhoff et al. profile →
  13. A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
    2016 471 citations Xingyi Zhang, Ye Tian et al. profile →
  14. A Coevolutionary Framework for Constrained Multiobjective Optimization Problems
    2020 460 citations Ye Tian, Xingyi Zhang et al. profile →
  15. Data-Driven Evolutionary Optimization: An Overview and Case Studies
    2018 457 citations Yaochu Jin, Handing Wang et al. profile →
  16. A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
    2016 420 citations Yaochu Jin et al. profile →
  17. Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
    2019 405 citations Yaochu Jin et al. profile →
  18. An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization
    2014 397 citations Xingyi Zhang, Ran Cheng et al. profile →
  19. A benchmark test suite for evolutionary many-objective optimization
    2017 375 citations Ran Cheng, Ye Tian et al. profile →
  20. A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization
    2013 374 citations Yaochu Jin et al. profile →
  21. Generalizing Surrogate-Assisted Evolutionary Computation
    2009 366 citations Yaochu Jin, Bernhard Sendhoff et al. profile →
  22. Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer
    2019 320 citations Ye Tian, Xingyi Zhang et al. profile →
  23. Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems
    2017 314 citations Handing Wang, Yaochu Jin et al. profile →
  24. A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
    2017 309 citations Xingyi Zhang, Ran Cheng et al. Information Sciences profile →
  25. Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems
    2017 307 citations Yaochu Jin, Ran Cheng et al. profile →
  26. An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems
    2019 298 citations Ye Tian, Xingyi Zhang et al. profile →
  27. A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization
    2018 291 citations Ye Tian, Ran Cheng et al. profile →
  28. Test Problems for Large-Scale Multiobjective and Many-Objective Optimization
    2016 286 citations Ran Cheng, Yaochu Jin et al. profile →
  29. A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
    2015 284 citations Ran Cheng, Yaochu Jin et al. profile →
  30. A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization
    2018 281 citations Cheng He, Ye Tian et al. profile →
  31. Evolutionary Large-Scale Multi-Objective Optimization: A Survey
    2021 255 citations Ye Tian, Xingyi Zhang et al. profile →
  32. Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization
    2021 240 citations Ye Tian, Xingyi Zhang et al. profile →
  33. Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation
    2019 237 citations Cheng He, Ye Tian et al. profile →
  34. Artificial intelligence in recommender systems
    2020 235 citations Yaochu Jin et al. profile →
  35. A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts
    2021 219 citations Qiqi Liu, Kuangrong Hao et al. profile →
  36. Deep learning based brain tumor segmentation: a survey
    2022 209 citations Yaochu Jin et al. profile →
  37. Recent Advances in Bayesian Optimization
    2023 191 citations Xilu Wang, Yaochu Jin et al. profile →
  38. A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization
    2021 172 citations Handing Wang, Cheng He et al. profile →
  39. Deep Industrial Image Anomaly Detection: A Survey
    2024 108 citations Yaochu Jin et al. profile →
  40. Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
    2023 86 citations Tao Lei, Yaochu Jin et al. profile →

Peers

Yaochu Jin
Comparison fields: 5 of 207
  • Artificial Intelligence 24.9k
  • Computational Theory and Mathematics 21.1k
  • Management Science and Operations Research 4.3k
  • Control and Systems Engineering 3.2k
  • Industrial and Manufacturing Engineering 2.6k
Replace Qingfu Zhang with:
Qingfu Zhang China
Carlos A. Coello Coello Mexico
Xin Yao China
Eckart Zitzler Switzerland
Lothar Thiele Switzerland
Ponnuthurai Nagaratnam Suganthan Singapore
Sakshi Agarwal India
Kay Chen Tan Singapore
Amrit Pratap United States
Kenneth V. Price Germany
Qingfu Zhang China View profile →
Citations per field, relative to Yaochu Jin
Yaochu Jin · 1×
Citations per year, relative to Yaochu Jin
Yaochu Jin · 1×

Countries citing papers authored by Yaochu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yaochu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaochu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yaochu Jin. A scholar is included among the top collaborators of Yaochu Jin 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 Yaochu Jin. Yaochu Jin 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
# Work Indexed citations
1
Federated training of GNNs with similarity graph reasoning for text–image retrieval
2025 ·Neurocomputing ·Xueming Yan, (unknown), Yaochu Jin
1
2
From screens to scenes: A survey of embodied AI in healthcare
2025 ·Information Fusion ·(unknown), Xu Cao, Tingting Chen, (unknown), (unknown), Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
7
3
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates
2025 ·Swarm and Evolutionary Computation ·(unknown), Xingguang Peng, Xiaokang Lei, Handing Wang, Yaochu Jin
0
4
Federated Bayesian optimization via compressed sensing
2024 ·Information Sciences ·Qiqi Liu, (unknown), Yaochu Jin
1
5
Surrogate information transfer and fusion in high-dimensional expensive optimization problems
2024 ·Swarm and Evolutionary Computation ·Yong Pang, Shuai Zhang, Yaochu Jin, Yitang Wang, Xiaonan Lai, Xueguan Song
5
6
Knee-oriented expensive many-objective optimization via aggregation-dominance: A multi-task perspective
2024 ·Swarm and Evolutionary Computation ·(unknown), Handing Wang, Yaochu Jin
0
7
Efficient adversarial training with multi-fidelity optimization for robust neural network
2024 ·Neurocomputing ·(unknown), Handing Wang, (unknown), Yaochu Jin
1
8
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems
2024 ·Knowledge-Based Systems ·Shiqing Liu, Xueming Yan, Yaochu Jin
3
9
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing
2024 ·Knowledge-Based Systems ·(unknown), Yaochu Jin, (unknown), Kuangrong Hao
2
10
Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions
2024 ·Evolutionary Computation ·Haoran Gu, Handing Wang, Cheng He, Bo Yuan, Yaochu Jin
6
11
Cross-modal hashing retrieval with compatible triplet representation
2024 ·Neurocomputing ·Zhifeng Hao, Yaochu Jin, Xueming Yan, (unknown), Shangshang Yang, (unknown)
0
12
An adaptive n-gram transformer for multi-scale scene text recognition
2023 ·Knowledge-Based Systems ·Xueming Yan, (unknown), Yaochu Jin
5
13
A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation
2023 ·Neurocomputing ·(unknown), Yaochu Jin, (unknown)
6
14
Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization
2023 ·Applied Soft Computing ·Fei Li, (unknown), Yuanchao Liu, Hao Shen, Yaochu Jin
25
15
Automated pattern generation for swarm robots using constrained multi-objective genetic programming
2023 ·Swarm and Evolutionary Computation ·Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An‐Min Zou, Weidong Bao, (unknown), Zhifeng Hao, Yaochu Jin
12
16
Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization
2023 ·Mathematical and Computational Applications ·Xilu Wang, Yaochu Jin
0
17
Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites
2023 ·Neurocomputing ·Shuangming Yang, Yanwei Pang, Haowen Wang, Tao Lei, Jing Pan, Jian Wang, Yaochu Jin
47
18
Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization
2016 ·Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
12
19
Vector Field Embryogeny
2009 ·PLoS ONE ·(unknown), Yaochu Jin, Bernhard Sendhoff
5
20
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach
2003 ·Surrey Research Insight Open Access (The University of Surrey) ·Yaochu Jin, Bernhard Sendhoff
1

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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