Jibo Wang - Citegraph

Author Info

Name	Affiliation	Papers
JIBO WANG	Eli Lilly & Co, Lilly Corp Ctr, Lilly Res Labs, Indianapolis, IN 46285 USA	73
Collaborators	Citations	PageRank
85	745	41.50
Referers	Referees	References
558	473	1000

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100558

Publications (73 rows)

Collaborators (85 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Single machine group scheduling problem with makespan objective and a proportional linear shortening	1	0.35	2022
Study on Resource-Dependent No-Wait Flow Shop Scheduling with Different Due-Window Assignment and Learning Effects	0	0.34	2021
A Note On Single Machine Common Flow Allowance Group Scheduling With Learning Effect And Resource Allocation	0	0.34	2021
Bicriterion Scheduling With Truncated Learning Effects And Convex Controllable Processing Times	0	0.34	2021
Study On Proportionate Flowshop Scheduling With Due-Date Assignment And Position-Dependent Weights	1	0.36	2021
Common due window assignment scheduling with proportional linear deterioration effects	0	0.34	2020
Convex Resource Allocation Scheduling In The No-Wait Flowshop With Common Flow Allowance And Learning Effect	0	0.34	2019
A retrosynthetic analysis algorithm implementation.	0	0.34	2019
Research On M-Machine Flow Shop Scheduling With Truncated Learning Effects	2	0.38	2019
Single-machine scheduling with simultaneous considerations of resource allocation and deteriorating jobs.	0	0.34	2019
No-wait resource allocation flowshop scheduling with learning effect under limited cost availability.	0	0.34	2019
Makespan minimization scheduling with ready times, group technology and shortening job processing times.	0	0.34	2018
Single Machine CON/SLK Due Date Assignment Scheduling with Controllable Processing Time and Job-dependent Learning Effects.	0	0.34	2018
Machine Scheduling with Deteriorating Jobs and Modifying Maintenance Activities.	3	0.38	2018
Scheduling jobs with simultaneous considerations of controllable processing times and learning effect.	1	0.34	2018
Bicriterion Optimization for Flow Shop with a Learning Effect Subject to Release Dates.	0	0.34	2018
Resource constrained scheduling with general truncated job-dependent learning effect	3	0.39	2017
Research on scheduling problems with general effects of deterioration and learning.	0	0.34	2015
A Note on Scheduling Jobs with Extended Sum-of-Processing-Times-Based and Position-Based Learning Effect.	10	0.48	2015
Single-machine common flow allowance scheduling with job-dependent aging effects and a deteriorating maintenance activity.	7	0.44	2014
Flowshop scheduling with a general exponential learning effect	17	0.60	2014
Single machine scheduling with sum-of-logarithm-processing-times based deterioration.	4	0.41	2014
Single machine scheduling with sum-of-logarithm-processing-times based and position based learning effects.	9	0.46	2014
Single-Machine Due-Window Assignment and Scheduling with Learning Effect and Resource-Dependent Processing Times.	3	0.38	2014
Parallel machines scheduling with simple linear job deterioration and non-simultaneous machine available times.	1	0.35	2014
Single machine scheduling with truncated job-dependent learning effect.	8	0.47	2014
Single machine group scheduling with time dependent processing times and ready times.	15	0.67	2014
Single machine scheduling with autonomous learning and induced learning.	3	0.38	2013
Scheduling jobs with truncated exponential learning functions.	10	0.52	2013
Minimizing makespan in three-machine flow shops with deteriorating jobs	17	0.89	2013
Makespan Minimization on Three-Machine Flow shop with deteriorating jobs.	6	0.46	2013
Several flow shop scheduling problems with truncated position-based learning effect	18	0.68	2013
Single Machine Total Completion Time Minimization Scheduling With A Time-Dependent Learning Effect And Deteriorating Jobs	19	0.64	2012
Scheduling Jobs with Processing times Dependent on Position, Starting Time, and Allotted Resource.	8	0.47	2012
Single-machine scheduling to minimize total convex resource consumption with a constraint on total weighted flow time	10	0.50	2012
A revision of some single-machine and m-machine flowshop scheduling problems with learning considerations.	10	0.50	2012
Single-machine makespan minimization scheduling with nonlinear shortening processing times	0	0.34	2012
Minimizing makespan in a two-machine flow shop with effects of deterioration and learning.	16	0.60	2012
Single-machine scheduling with nonlinear deterioration.	21	1.08	2012
Single-machine group scheduling with both learning effects and deteriorating jobs	21	0.81	2011
Accelerating two algorithms for large-scale compound selection on GPUs.	0	0.34	2011
Single-machine scheduling to minimize total absolute differences in waiting times with deteriorating jobs	3	0.43	2011
Parallel machines scheduling with a deteriorating maintenance activity.	22	0.78	2011
Parallel machine scheduling with a deteriorating maintenance activity and total absolute differences penalties	19	0.69	2011
Flow shop scheduling to minimize makespan with decreasing time-dependent job processing times	1	0.36	2011
Erratum to "Single machine scheduling problems under the effects of nonlinear deterioration and time-dependent learning" [Math. Comput. Modelling 50 (2009) 401-406]	1	0.35	2011
Minimizing total weighted completion time in a two-machine flow shop scheduling under simple linear deterioration	21	0.72	2011
Erratum to “Notes on “Single machine scheduling problems under the effects of nonlinear deterioration and time-dependent learning” [Math. Comput. Modelling 50 (2009) 401–406]” [CAMWA 61/5 (2011) 1471–1473]	0	0.34	2011
A revision of machine scheduling problems with a general learning effect	14	0.55	2011
Worst-case behavior of simple sequencing rules in flow shop scheduling with general position-dependent learning effects.	26	0.80	2011

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