D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 32 Citations 3,450 116 World Ranking 2455 National Ranking 119
Computer Science D-index 32 Citations 3,450 116 World Ranking 9441 National Ranking 948

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Job shop scheduling
  • Algorithm

Ji-Bo Wang focuses on Job shop scheduling, Mathematical optimization, Learning effect, Single-machine scheduling and Time complexity. His study in Job shop scheduling focuses on Flow shop scheduling in particular. His study on Minimization problem is often connected to Completion time and Group technology as part of broader study in Mathematical optimization.

Among his research on Learning effect, you can see a combination of other fields of science like Tardiness, General position and Retard. Among his Single-machine scheduling studies, there is a synthesis of other scientific areas such as Quadratic equation, Schedule, Construct, Heuristics and Function. Ji-Bo Wang integrates many fields in his works, including Time complexity and Resource allocation.

His most cited work include:

  • Single-machine scheduling with a time-dependent learning effect (95 citations)
  • Single-machine scheduling with a time-dependent learning effect (95 citations)
  • Single-machine scheduling with past-sequence-dependent setup times and time-dependent learning effect (81 citations)

What are the main themes of his work throughout his whole career to date?

Ji-Bo Wang mainly investigates Mathematical optimization, Job shop scheduling, Single-machine scheduling, Learning effect and Flow shop scheduling. In the field of Mathematical optimization, his study on Scheduling, Minification and Heuristic overlaps with subjects such as Completion time and Rate-monotonic scheduling. His studies in Job shop scheduling integrate themes in fields like Dynamic priority scheduling and Fair-share scheduling.

His work in Single-machine scheduling is not limited to one particular discipline; it also encompasses Open-shop scheduling. In general Flow shop scheduling, his work in Johnson's rule is often linked to Branch and bound, Heuristic and Operations research linking many areas of study. His research investigates the connection with Branch and bound and areas like Speedup which intersect with concerns in Process of elimination and Null-move heuristic.

He most often published in these fields:

  • Mathematical optimization (103.62%)
  • Job shop scheduling (92.75%)
  • Single-machine scheduling (55.80%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical optimization (103.62%)
  • Learning effect (54.35%)
  • Scheduling (11.59%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Mathematical optimization, Learning effect, Scheduling, Job shop scheduling and Operations research. His work on Assignment problem as part of general Mathematical optimization study is frequently linked to Tardiness, Completion time, Single-machine scheduling and Total cost, bridging the gap between disciplines. Throughout his Learning effect studies, Ji-Bo Wang incorporates elements of other sciences such as Resource allocation and Flow shop scheduling.

His Scheduling study frequently draws connections to adjacent fields such as Branch and bound. Among his Job shop scheduling studies, you can observe a synthesis of other disciplines of science such as Group technology, Time complexity and Heuristic. His Time complexity research is within the category of Algorithm.

Between 2017 and 2021, his most popular works were:

  • Common due date assignment scheduling for a no-wait flowshop with convex resource allocation and learning effect (26 citations)
  • Research on m‐machine flow shop scheduling with truncated learning effects (26 citations)
  • Group scheduling with deteriorating jobs and allotted resource under limited resource availability constraint (24 citations)

In his most recent research, the most cited papers focused on:

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

His scientific interests lie mostly in Learning effect, Scheduling, Mathematical optimization, Operations research and Due date. Learning effect is connected with Regular polygon, Job shop scheduling and Branch and bound in his research. Ji-Bo Wang works in the field of Job shop scheduling, namely Flow shop scheduling.

Scheduling is closely attributed to Optimization problem in his study. Operations research overlaps with fields such as Machine scheduling, Group technology, Limited resources and Group scheduling in his research. Ji-Bo Wang integrates many fields, such as Due date and Distributed computing, in his works.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Single-machine scheduling with past-sequence-dependent setup times and time-dependent learning effect

Ji-Bo Wang.
(2008)

125 Citations

Single-machine due-window assignment problem with learning effect and deteriorating jobs

Ji-Bo Wang;Cheng Wang.
(2011)

107 Citations

Single-machine scheduling with a time-dependent learning effect

J.-B. Wang;J.-B. Wang;C.T. Ng;T.C.E. Cheng;L.L. Liu.
(2008)

106 Citations

Single machine scheduling with exponential time-dependent learning effect and past-sequence-dependent setup times

Ji-Bo Wang;Dan Wang;Li-Yan Wang;Lin Lin.
(2009)

102 Citations

Minimizing total completion time in a two-machine flow shop with deteriorating jobs

Ji-Bo Wang;Ji-Bo Wang;C.T. Daniel Ng;T.C.E. Cheng;Li-Li Liu.
(2006)

101 Citations

Single-machine scheduling with past-sequence-dependent setup times and effects of deterioration and learning

Ji-Bo Wang;Yong Jiang;Gang Wang;Gang Wang.
(2009)

99 Citations

A due-date assignment problem with learning effect and deteriorating jobs

Ji-Bo Wang;Qian Guo.
(2010)

99 Citations

Learning effect and deteriorating jobs in the single machine scheduling problems

Ji-Bo Wang;Xue Huang;Xiao-Yuan Wang;Na Yin.
(2009)

92 Citations

Single-machine group scheduling problems with deteriorating jobs

Ji-Bo Wang;Lin Lin;Feng Shan.
(2008)

91 Citations

Single-machine scheduling with deteriorating jobs under a series-parallel graph constraint

Ji-Bo Wang;C. T. Ng;T. C. E. Cheng.
(2008)

90 Citations

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