World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7544
World Ranking
10103
National Ranking
4262

Overview

Wei Tan is affiliated with Citadel LLC in the United States and has contributed to research predominantly in the field of medicine. Their work spans various subfields, including safety research, genetics, information systems, pediatrics, perinatology and child health, as well as sociology and political science.

Their research topics cover a range of areas such as forensic fingerprint detection methods, forensic and genetic research, digital and cyber forensics, childhood cancer survivors' quality of life, family support in illness, palliative care and end-of-life issues, and cardiovascular health and disease prevention.

Recent publications by Wei Tan include:

  • "Evaluation of the performance of IND/Zn and DFO on various porous substrates in Singapore context," 2020, Forensic Science International
  • "A deep learning-based, real-time image report system for linear EUS," 2024, Gastrointestinal Endoscopy
  • "Experiences of paediatric terminal oncology patients and their parents in palliative care: A qualitative systematic review," 2024, Journal of Pediatric Nursing
  • "Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction," 2024, BMC Medical Imaging
  • "Design of Vehicle Big Data Analysis System Based on Structured Data," 2025, Science, technology and social development proceedings series.

Frequent coauthors collaborating with Wei Tan include Cheng Ngee Loh, Wei Lin Kimiie Chia, Siong Chun Shawn Foo, Xiuhui Xu, and Xun Li.

The venues where their work has been published reflect the interdisciplinary nature of their research, including Forensic Science International, Gastrointestinal Endoscopy, Journal of Pediatric Nursing, BMC Medical Imaging, and the Science, technology and social development proceedings series.

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud

    Xingquan Zuo;Guoxiang Zhang;Wei Tan

  • A Petri Net-Based Method for Compatibility Analysis and Composition of Web Services in Business Process Execution Language

    Wei Tan;Yushun Fan;MengChu Zhou

  • Social-Network-Sourced Big Data Analytics

    Wei Tan;M. B. Blake;I. Saleh;S. Dustdar

  • Review of Current Methods, Applications, and Data Management for the Bioinformatics Analysis of Whole Exome Sequencing

    Riyue Bao;Lei Huang;Jorge Andrade;Wei Tan

  • Taverna, reloaded

    Paolo Missier;Stian Soiland-Reyes;Stuart Owen;Wei Tan

  • Dilated Recurrent Neural Networks

    Shiyu Chang;Yang Zhang;Wei Han;Mo Yu

  • TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds

    Haitao Yuan;Jing Bi;Wei Tan;MengChu Zhou

  • Vehicle Scheduling of an Urban Bus Line via an Improved Multiobjective Genetic Algorithm

    Xingquan Zuo;Cheng Chen;Wei Tan;MengChu Zhou

  • Category-Aware API Clustering and Distributed Recommendation for Automatic Mashup Creation

    Bofei Xia;Yushun Fan;Wei Tan;Keman Huang

  • Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center

    Jing Bi;Haitao Yuan;Wei Tan;MengChu Zhou

  • From the Service-Oriented Architecture to the Web API Economy

    Wei Tan;Yushun Fan;Ahmed Ghoneim;M. Anwar Hossain

  • Data-Driven Service Composition in Enterprise SOA Solutions: A Petri Net Approach

    Wei Tan;Yushun Fan;MengChu Zhou;Zhong Tian

  • DLTSR: A Deep Learning Framework for Recommendations of Long-Tail Web Services

    Bing Bai;Yushun Fan;Wei Tan;Jia Zhang

  • Timed Compatibility Analysis of Web Service Composition: A Modular Approach Based on Petri Nets

    Yanhua Du;Wei Tan;MengChu Zhou

  • An Empirical Study of Programmable Web: A Network Analysis on a Service-Mashup System

    Keman Huang;Yushun Fan;Wei Tan

  • Network Analysis of Scientific Workflows: A Gateway to Reuse

    Wei Tan;Jia Zhang;I Foster

  • Recommendation in an Evolving Service Ecosystem Based on Network Prediction

    Keman Huang;Yushun Fan;Wei Tan

  • Recommend-As-You-Go: A Novel Approach Supporting Services-Oriented Scientific Workflow Reuse

    Jia Zhang;Wei Tan;John Alexander;Ian Foster

  • Temporal Task Scheduling With Constrained Service Delay for Profit Maximization in Hybrid Clouds

    Haitao Yuan;Jing Bi;Wei Tan;Bo Hu Li

Frequent Co-Authors

MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Ian Foster
Ian Foster University of Chicago
Carole Goble
Carole Goble University of Manchester
Yun Liang
Yun Liang Peking University
Liangliang Cao
Liangliang Cao Google (United States)
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
David De Roure
David De Roure University of Oxford
Paolo Missier
Paolo Missier Newcastle University

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