World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10378
World Ranking
6428
National Ranking
387

Overview

Yue Jia is affiliated with University College London in the United Kingdom. Their research spans multiple interdisciplinary areas, including plant science, artificial intelligence, finance, clinical psychology, and management science and operations research. They have contributed to various fields with a focus on topics such as psychometric methodologies and testing, stochastic processes and financial applications, plant genetic and mutation studies, seed germination and physiology, early childhood education and development, diverse topics in contemporary research, and education and learning interventions.

The scientist has authored several recent papers, covering a range of subjects and published in diverse academic venues. Key publications include:

  • Bidirectional longitudinal relationships between beliefs about adversity, teacher-student relationships and academic engagement of left behind children, 2025, Social Psychology of Education
  • Exploring the adverse effects of the metaverse on users' psychological well-being and Self-Esteem: A mixed-methods study, 2025, Journal of Retailing and Consumer Services
  • Equilibrium pricing of European crude oil options with stochastic behaviour and jump risks, 2023, Mathematics and Computers in Simulation
  • Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition, 2023, ACM Transactions on Asian and Low-Resource Language Information Processing
  • Identification of miRNAs Mediating Seed Storability of Maize during Germination Stage by High-Throughput Sequencing, Transcriptome and Degradome Sequencing, 2022, International Journal of Molecular Sciences

Yue Jia has collaborated with several frequent co-authors, including Yu Zhou, Xing Zeng, Zhenhua Wang, Lin Zhang, and Yanlin Chen, each contributing to multiple joint research projects.

The scientist's publications have appeared repeatedly in a selection of journals and publication venues, such as:

  • Mathematics and Computers in Simulation
  • International Journal of Molecular Sciences
  • Social Psychology of Education
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • Journal of Retailing and Consumer Services

In addition to journal articles, Yue Jia has also contributed to book publications. One such example is a book titled "New Media Operation Exploration of Orangelamp," published in 2022 by The School of Economics and Management, Beihang University eBooks.

Best Publications

  • An Analysis and Survey of the Development of Mutation Testing

    Yue Jia;M. Harman

  • Sapienz: multi-objective automated testing for Android applications

    Ke Mao;Mark Harman;Yue Jia

  • A Survey of App Store Analysis for Software Engineering

    William Martin;Federica Sarro;Yue Jia;Yuanyuan Zhang

  • A survey of the use of crowdsourcing in software engineering

    Ke Mao;Licia Capra;Mark Harman;Yue Jia

  • Mutation Testing Advances: An Analysis and Survey

    Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia

  • App store mining and analysis: MSR for app stores

    Mark Harman;Yue Jia;Yuanyuan Zhang

  • Higher Order Mutation Testing

    Yue Jia;Mark Harman

  • Constructing Subtle Faults Using Higher Order Mutation Testing

    Yue Jia;M. Harman

  • Achievements, Open Problems and Challenges for Search Based Software Testing

    Mark Harman;Yue Jia;Yuanyuan Zhang

  • MILU: A Customizable, Runtime-Optimized Higher Order Mutation Testing Tool for the Full C Language

    Yue Jia;M. Harman

  • Comparing white-box and black-box test prioritization

    Christopher Henard;Mike Papadakis;Mark Harman;Yue Jia

  • Searching for better configurations: a rigorous approach to clone evaluation

    Tiantian Wang;Mark Harman;Yue Jia;Jens Krinke

  • Trivial compiler equivalence: a large scale empirical study of a simple, fast and effective equivalent mutant detection technique

    Mike Papadakis;Yue Jia;Mark Harman;Yves Le Traon

  • A study of equivalent and stubborn mutation operators using human analysis of equivalence

    Xiangjuan Yao;Mark Harman;Yue Jia

  • Strong higher order mutation-based test data generation

    Mark Harman;Yue Jia;William B. Langdon

  • Predictive Mutation Testing

    Jie Zhang;Lingming Zhang;Mark Harman;Dan Hao

  • Efficient multi-objective higher order mutation testing with genetic programming

    William B. Langdon;Mark Harman;Yue Jia

  • Search based software engineering for software product line engineering: a survey and directions for future work

    M. Harman;Y. Jia;J. Krinke;W. B. Langdon

  • Automated software transplantation

    Earl T. Barr;Mark Harman;Yue Jia;Alexandru Marginean

  • SapFix: automated end-to-end repair at scale

    Alexandru Marginean;Johannes Bader;Satish Chandra;Mark Harman

  • Predictive mutation testing

    Jie Zhang;Ziyi Wang;Lingming Zhang;Dan Hao

  • Multi Objective Higher Order Mutation Testing with Genetic Programming

    William B. Langdon;Mark Harman;Yue Jia

Frequent Co-Authors

Mark Harman
Mark Harman University College London
William B. Langdon
William B. Langdon University College London
Federica Sarro
Federica Sarro University College London
Jens Krinke
Jens Krinke University College London
Yves Le Traon
Yves Le Traon University of Luxembourg
Mike Papadakis
Mike Papadakis University of Luxembourg
David Binkley
David Binkley Loyola University Maryland
Andrea Arcuri
Andrea Arcuri Kristiania University College
Anthony Finkelstein
Anthony Finkelstein University College London
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana

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