World's Best Scientists 2026 revealed!
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Mathematics
Taiwan
2026
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Engineering and Technology
Taiwan
2022

D-Index & Metrics

Mathematics

D-Index
53
Citations
7400
World Ranking
923
National Ranking
5

Engineering and Technology

D-Index
53
Citations
7443
World Ranking
3512
National Ranking
25

Research.com Recognitions

  • 2026 - Research.com Mathematics in Taiwan Leader Award
  • 2025 - Research.com Mathematics in Taiwan Leader Award
  • 2022 - Research.com Engineering and Technology in Taiwan Leader Award

Overview

Chin-Chia Wu is affiliated with Feng Chia University in Taiwan and conducts research primarily in the field of engineering. Their work focuses extensively on industrial and manufacturing engineering, with additional contributions in computer networks and communications, oncology, molecular biology, and artificial intelligence.

The main topics of their research include:

  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Optimization and Search Problems
  • Optimization and Packing Problems
  • Metaheuristic Optimization Algorithms Research
  • Gut microbiota and health

The researcher has published in a number of journals, with frequent contributions to the following venues:

  • Mathematics
  • Swarm and Evolutionary Computation
  • International Journal of Production Research
  • Computers & Industrial Engineering
  • Engineering Optimization

Notable recent papers authored or coauthored by Chin-Chia Wu include:

  • Several variants of simulated annealing hyper-heuristic for a single-machine scheduling with two-scenario-based dependent processing times (2020, Swarm and Evolutionary Computation)
  • Robust scheduling for a two-stage assembly shop with scenario-dependent processing times (2020, International Journal of Production Research)
  • A robust customer order scheduling problem along with scenario-dependent component processing times and due dates (2020, Journal of Manufacturing Systems)

Frequent collaborators include:

  • Win-Chin Lin
  • Danyu Bai
  • Xingong Zhang
  • Shuenn-Ren Cheng
  • Jianyou Xu

The body of work contributed by Chin-Chia Wu addresses various aspects of optimization, particularly in scheduling and logistics contexts within manufacturing systems. Their research approach often involves metaheuristic and advanced algorithmic strategies to solve complex real-world production and assembly problems.

Best Publications

  • Some scheduling problems with sum-of-processing-times-based and job-position-based learning effects

    T.C. Edwin Cheng;Chin-Chia Wu;Wen-Chiung Lee

  • Some scheduling problems with deteriorating jobs and learning effects

    T. C. E. Cheng;Chin-Chia Wu;Wen-Chiung Lee

  • Minimizing total completion time in a two-machine flowshop with a learning effect

    W Lee

  • A bi-criterion single-machine scheduling problem with learning considerations

    Wen-Chiung Lee;Chin-Chia Wu;Hua-Jung Sung

  • A two-agent single-machine scheduling problem with truncated sum-of-processing-times-based learning considerations

    T. C. E. Cheng;Shuenn-Ren Cheng;Wen-Hung Wu;Peng-Hsiang Hsu

  • Scheduling problems with deteriorating jobs and learning effects including proportional setup times

    T. C. E. Cheng;Wen-Chiung Lee;Chin-Chia Wu

  • Single-machine scheduling problems with a learning effect

    Chin-Chia Wu;Wen-Chiung Lee

  • Single-machine scheduling with sum-of-logarithm-processing-times-based learning considerations

    T.C.E. Cheng;Peng-Jen Lai;Chin-Chia Wu;Wen-Chiung Lee

  • Single-machine and flowshop scheduling with a general learning effect model

    Chin-Chia Wu;Wen-Chiung Lee

  • A single-machine learning effect scheduling problem with release times

    Wen-Chiung Lee;Chin-Chia Wu;Peng-Hsiang Hsu

  • Scheduling linear deteriorating jobs to minimize makespan with an availability constraint on a single machine

    Chin-Chia Wu;Wen-Chiung Lee

  • Single-machine group-scheduling problems with deteriorating setup times and job-processing times

    Chin-Chia Wu;Wen-Chiung Lee

  • Some single-machine and m-machine flowshop scheduling problems with learning considerations

    Wen-Chiung Lee;Chin-Chia Wu

  • Scheduling with Time-Dependent Processing Times 2015

    Yunqiang Yin;T. C. E. Cheng;Chin-Chia Wu

  • A note on single-machine group scheduling problems with position-based learning effect

    Wen-Chiung Lee;Chin-Chia Wu

  • Single-machine batch delivery scheduling with an assignable common due window

    Yunqiang Yin;T.C.E. Cheng;Chou-Jung Hsu;Chin-Chia Wu

  • Scheduling problems with two agents and a linear non-increasing deterioration to minimize earliness penalties

    Yunqiang Yin;Shuenn-Ren Cheng;Chin-Chia Wu

  • Two-agent single-machine scheduling to minimize the batch delivery cost

    Yunqiang Yin;Yan Wang;T.C.E. Cheng;Du-Juan Wang

  • A simulated annealing approach to makespan minimization on identical parallel machines

    Wen-Chiung Lee;Chin-Chia Wu;Peter Chen

  • Single-machine group scheduling problems with deterioration consideration

    Chin-Chia Wu;Yau-Ren Shiau;Wen-Chiung Lee

  • Two-machine flowshop scheduling with a truncated learning function to minimize the makespan

    T.C.E. Cheng;Chin-Chia Wu;Juei-Chao Chen;Wen-Hsiang Wu

Frequent Co-Authors

Wen-Chiung Lee
Wen-Chiung Lee Feng Chia University
T.C.E. Cheng
T.C.E. Cheng Hong Kong Polytechnic University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville
Ling Wang
Ling Wang Tsinghua University
Xuerong Mao
Xuerong Mao University of Strathclyde

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