2026 Yaochu Jin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	119	151	146	19	17	845	59739

Research.com Recognitions

2026 - Research.com Computer Science in China Leader Award
2025 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in China Leader Award
2021 - Member of Academia Europaea
2021 - Alexander von Humboldt Professorship for Artificial Intelligence
2016 - IEEE Fellow For contributions to evolutionary optimization

Overview

Yaochu Jin is affiliated with Westlake University in China and has a primary research focus within the field of computer science. Their scholarly contributions span several subfields, particularly artificial intelligence, computational theory and mathematics, computer vision and pattern recognition, nuclear and high energy physics, and industrial and manufacturing engineering.

Their work extensively covers advanced topics such as:

Advanced Multi-Objective Optimization Algorithms
Metaheuristic Optimization Algorithms Research
Evolutionary Algorithms and Applications
Privacy-Preserving Technologies in Data
Advanced Neural Network Applications
Machine Learning and Data Classification
Optimal Experimental Design Methods

Yaochu Jin has published research in a range of academic venues, with frequent contributions to:

arXiv (Cornell University)
IEEE Transactions on Evolutionary Computation
IEEE Computational Intelligence Magazine
IEEE Transactions on Emerging Topics in Computational Intelligence
Neurocomputing

Key recent papers include:

"Federated learning on non-IID data: A survey" (2021, Neurocomputing)
"A Coevolutionary Framework for Constrained Multiobjective Optimization Problems" (2020, IEEE Transactions on Evolutionary Computation)
"Artificial intelligence in recommender systems" (2020, Complex & Intelligent Systems)
"Evolutionary Large-Scale Multi-Objective Optimization: A Survey" (2021, ACM Computing Surveys)
"Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization" (2021, IEEE Transactions on Cybernetics)

Yaochu Jin's frequent coauthors include:

Handing Wang
Ran Cheng
M. Iwasaki
Kay Chen Tan
Xingyi Zhang

The researcher has contributed to several book publications primarily through Springer Nature and Springer Science+Business Media. Notable titles include:

Data-Driven Evolutionary Optimization (2021)
Federated Learning (2022)
Rescheduling Under Disruptions in Manufacturing Systems (2020)
Intelligence Science IV (2022)
Computational Evolution of Neural and Morphological Development (2023)

Best Publications

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin

2474
Citations
Evolutionary optimization in uncertain environments-a survey

Yaochu Jin;J. Branke

2017
Citations
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

Ran Cheng;Yaochu Jin;Markus Olhofer;Bernhard Sendhoff

1671
Citations
A comprehensive survey of fitness approximation in evolutionary computation

Y. Jin

1568
Citations
Surrogate-assisted evolutionary computation: Recent advances and future challenges

Yaochu Jin

1485
Citations
A Competitive Swarm Optimizer for Large Scale Optimization

Ran Cheng;Yaochu Jin

1068
Citations
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm

Qingfu Zhang;Aimin Zhou;Yaochu Jin

977
Citations
A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

Xingyi Zhang;Ye Tian;Yaochu Jin

865
Citations
Federated learning on non-IID data: A survey

Hangyu Zhu;Jinjin Xu;Shiqing Liu;Yaochu Jin

851
Citations
A framework for evolutionary optimization with approximate fitness functions

Yaochu Jin;M. Olhofer;B. Sendhoff

839
Citations
A social learning particle swarm optimization algorithm for scalable optimization

Ran Cheng;Yaochu Jin

794
Citations
A Survey of Deep Learning Applications to Autonomous Vehicle Control

Sampo Kuutti;Richard Bowden;Yaochu Jin;Phil Barber

716
Citations
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

Ye Tian;Ran Cheng;Xingyi Zhang;Fan Cheng

664
Citations
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement

Yaochu Jin

636
Citations
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization

Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin

625
Citations
Data-Driven Evolutionary Optimization: An Overview and Case Studies

Yaochu Jin;Handing Wang;Tinkle Chugh;Dan Guo

612
Citations
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems

Ye Tian;Tao Zhang;Jianhua Xiao;Xingyi Zhang

596
Citations
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

Tinkle Chugh;Yaochu Jin;Kaisa Miettinen;Jussi Hakanen

589
Citations
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization

Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin

588
Citations
Introduction to Machine Learning

Yaochu Jin;Handing Wang;Chaoli Sun

575
Citations
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

Yaochu Jin;B. Sendhoff

548
Citations
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin

326
Citations

Frequent Co-Authors

Bernhard Sendhoff Honda (Germany)

Xingyi Zhang Anhui University

Xin Yao Lingnan University

Qingfu Zhang City University of Hong Kong

Yew-Soon Ong Nanyang Technological University

Jianchao Zeng North University of China

Shengxiang Yang De Montfort University

Tianyou Chai Northeastern University

Kaisa Miettinen University of Jyväskylä

Jürgen Branke University of Warwick

External Links

Personal website of Yaochu Jin Google Scholar page

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