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Lingkai Yang

Observed names: L Yang, Yang Ling-Kai, Yang, Lingkai
Observed institutions: University of Ulster, China University of Mining and Technology, Wuhan Union Hospital, Tiandi Science & Technology (China), China Coal Research Institute (China), Imperial College London, Huazhong University of Science and Technology
ORCID: 0000-0003-4991-6813
Observed ORCID: 0000-0003-4991-6813
OpenAlex ID: A5009848261
Engineered biomimetic nanoreactor for synergistic photodynamic-chemotherapy against hypoxic tumor
2022 · Haoyu Guo, Lutong Wang, et al. · Journal of Controlled Release · 34
Detecting and rationalizing concept drift: A feature-level approach for understanding cause–effect relationships in dynamic environments
2024 · Lingkai Yang, Jian Cheng, et al. · Expert Systems with Applications · 18
Process Duration Modelling and Concept Drift Detection for Business Process Mining
2021 · Lingkai Yang, Sally McClean, et al. · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) · 16
Semi-Markov Models for Process Mining in Smart Homes
2023 · Sally McClean, Lingkai Yang · Mathematics · 12
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A multi-components approach to monitoring process structure and customer behaviour concept drift
2022 · Lingkai Yang, Sally McClean, et al. · Expert Systems with Applications · 12
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Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning
2019 · Lingkai Yang, Yinan Guo, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 11
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment
2024 · Lingkai Yang, Sally McClean, et al. · ACM Transactions on Knowledge Discovery from Data · 9
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Analysing Business Process Anomalies Using Discrete-time Markov chains
2020 · Lingkai Yang, Sally McClean, et al. · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · 8
Using semi-Markov models to identify long holding times of activities of daily living in smart homes
2023 · Lingkai Yang, Sally Mc Clean, et al. · IEEE Smart World Congress (SWC) · 7
Detecting and Responding to Concept Drift in Business Processes
2022 · Lingkai Yang, Sally McClean, et al. · Algorithms · 7
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Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes
2024 · Sally McClean, Dongwei Wang, et al. · Lecture notes in networks and systems · 4
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Coalmine Gas Concentration Analysis Based on Support Vector Machine
2016 · Liu Kun, Yang Ling-Kai, et al. · International Conference on Information Science and Control Engineering · 4
Modelling Task Durations Towards Automated, Big Data, Process Mining
2025 · Malcolm Faddy, Lingkai Yang, et al. · Applied Stochastic Models in Business and Industry · 3
Gamma-mixture Bayesian method for anomalous coalmine pressure analysis
2024 · Lingkai Yang, Jian Cheng, et al. · Memetic Computing · 3
Domain adaptation via gamma, Weibull, and lognormal distributions for fault detection in chemical and energy processes
2024 · Lingkai Yang, Jian Cheng, et al. · The Canadian Journal of Chemical Engineering · 3
A novel oversampling technique based on the manifold distance for class imbalance learning
2021 · Fengzhen Tang, Shengxiang Yang, et al. · International Journal of Bio-Inspired Computation · 3
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Dynamic Alarm Causality Analysis Method Integrating Monitoring Contribution and Transfer Entropy
2023 · Yi Luo, Lingkai Yang, et al. · China Automation Congress (CAC) · 2
An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning
2017 · Yi-nan Guo, Pei Zhang, et al. · Lecture notes in computer science · 2
Automating mixture model fitting of task durations for process conformance checking
2025 · Lingkai Yang, Sally McClean, et al. · Data Mining and Knowledge Discovery · 1
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Gamma Mixture Model-based Domain Adaptation for semi-supervised rockburst risk recognition
2025 · Lingkai Yang, Jian Cheng, et al. · Tunnelling and Underground Space Technology · 1
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation
2025 · Lingkai Yang, Sally McClean, et al. · Data & Knowledge Engineering · 1
BackgroundNet: Small Dataset-Based Object Detection in Stationary Scenes
2019 · Jian Cheng, Shaoying Chen, et al. · Lecture notes in computer science · 1
Using kisspeptin to assess GnRH function in an unusual case of primary amenorrhoea
2017 · S Vimalesvaran, S Narayanaswamy, et al. · Endocrinology Diabetes and Metabolism Case Reports · 1
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ChinaCoalIncident-SFT
2026 · Yang, Lingkai · Zenodo (CERN European Organization for Nuclear Research)
Large artificial intelligence models for coal mining: Development, applications and challenges
2026 · Guofa Wang, Yi Luo, et al. · International Journal of Minerals Metallurgy and Materials
Works count: 29
Citation count: 163
H-index: 8
I10-index: 6
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