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Jingbo Wang
PeerJ Editor
1,000 Points

Contributions by role

Editor 1,000

Contributions by subject area

Computer Vision
Data Science
Digital Libraries
Emerging Technologies
Scientific Computing and Simulation
Artificial Intelligence
Data Mining and Machine Learning
Distributed and Parallel Computing
Algorithms and Analysis of Algorithms
Graphics
Computer Education
Databases
Programming Languages
Text Mining
Optimization Theory and Computation
Computational Linguistics
Natural Language and Speech
Sentiment Analysis
Neural Networks

Jingbo Wang

PeerJ Editor

Summary

Prof Wang's research spans several disciplines including quantum dynamics theory, quantum computation and information, atomic physics, and computational science. She has published extensively, including a recent book published by Springer, four book chapters, and numerous journal papers. Prof Wang currently leads the quantum dynamics and computation group at The University of Western Australia. She and her research team have developed advanced numerical techniques to solve problems in both quantum and classical domain.

Algorithms & Analysis of Algorithms Biophysics Computational Science Computer Education Data Mining & Machine Learning Data Science Emerging Technologies Optimization Theory & Computation Scientific Computing & Simulation

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Work details

Professor

The University of Western Australia
Physics

PeerJ Contributions

  • Edited 9

Academic Editor on

July 14, 2025
A new machine learning method for rainfall classification: temporal random tree
Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant
https://doi.org/10.7717/peerj-cs.3022
February 29, 2024
A bilingual benchmark for evaluating large language models
Mohamed Alkaoud
https://doi.org/10.7717/peerj-cs.1893
May 18, 2023
What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities
Fatih Gurcan
https://doi.org/10.7717/peerj-cs.1361
July 22, 2022
High-dimensional normalized data profiles for testing derivative-free optimization algorithms
Hassan Musafer, Emre Tokgoz, Ausif Mahmood
https://doi.org/10.7717/peerj-cs.960
November 30, 2020
Development of a coded suite of models to explore relevant problems in logistics
Santiago-Omar Caballero-Morales
https://doi.org/10.7717/peerj-cs.329
November 25, 2019
Using demographics toward efficient data classification in citizen science: a Bayesian approach
Pietro De Lellis, Shinnosuke Nakayama, Maurizio Porfiri
https://doi.org/10.7717/peerj-cs.239
July 3, 2017
Finding the optimal Bayesian network given a constraint graph
Jacob M. Schreiber, William S. Noble
https://doi.org/10.7717/peerj-cs.122
June 20, 2016
Enriching scientific publications with interactive 3D PDF: an integrated toolbox for creating ready-to-publish figures
Axel Newe
https://doi.org/10.7717/peerj-cs.64
November 4, 2015
An algorithm for discovering Lagrangians automatically from data
Daniel J.A. Hills, Adrian M. Grütter, Jonathan J. Hudson
https://doi.org/10.7717/peerj-cs.31