World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
5943
World Ranking
7706
National Ranking
1018

Mathematics

D-Index
44
Citations
5784
World Ranking
1621
National Ranking
88

Ji-Bo Wang publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Ji-Bo Wang sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 166 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Ji-Bo Wang D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Ji-Bo Wang sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 44 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Ji-Bo Wang is affiliated with Shenyang Aerospace University in China and has a research profile primarily focused on engineering. Their extensive publication record encompasses 182 papers, with a significant concentration in Industrial and Manufacturing Engineering, which accounts for 109 of their works. Other noted subfields of study include Computer Networks and Communications, Biomedical Engineering, Mechanical Engineering, and Materials Chemistry.

Their principal research topics reflect a strong emphasis on optimization and manufacturing processes. Key topics in their work include Scheduling and Optimization Algorithms, Advanced Manufacturing and Logistics Optimization, Optimization and Search Problems, Assembly Line Balancing Optimization, as well as investigations into Metal Extraction and Bioleaching, Metal Alloys Wear and Properties, and 3D Printing in Biomedical Research.

Ji-Bo Wang collaborates frequently with several coauthors, with the most common being Dan-Yang Lv, Pu Sun, Xingbin Li, Chang Wei, and Li-Han Zhang. These collaborative efforts have contributed to the advancement of their research fields through numerous joint publications.

The scientist's work has been published across various academic venues. The most frequent publication journals include:

  • Mathematics
  • Asia Pacific Journal of Operational Research
  • SSRN Electronic Journal
  • Journal of Applied Mathematics and Computing
  • Computational and Applied Mathematics

Selected recent papers authored or coauthored by Ji-Bo Wang include:

  • Controllable Processing Time Scheduling with Total Weighted Completion Time Objective and Deteriorating Jobs, 2023, Asia Pacific Journal of Operational Research
  • Evaluation of wear mechanism between TC4 titanium alloys and self-lubricating fabrics, 2022, Wear
  • A novel design for split-and-recombine micromixer with double-layer Y-shaped mixing units, 2022, Sensors and Actuators A Physical
  • Context Aware Data-Driven Retrosynthetic Analysis, 2020, Journal of Chemical Information and Modeling
  • Single machine slack due window assignment and deteriorating jobs, 2023, Journal of Industrial and Management Optimization

Best Publications

  • Single-machine scheduling problems with the effects of learning and deterioration

    Unknown

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

    Ji-Bo Wang

  • 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

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

    Ji-Bo Wang;Cheng Wang

  • 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

  • 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

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

    Ji-Bo Wang;Yong Jiang;Gang Wang;Gang Wang

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

    Ji-Bo Wang;Qian Guo

  • Flow shop scheduling with deteriorating jobs under dominating machines

    Unknown

  • Single-machine group scheduling problems with deteriorating jobs

    Ji-Bo Wang;Lin Lin;Feng Shan

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

    Ji-Bo Wang;C. T. Ng;T. C. E. Cheng

  • Learning effect and deteriorating jobs in the single machine scheduling problems

    Ji-Bo Wang;Xue Huang;Xiao-Yuan Wang;Na Yin

  • Scheduling jobs under decreasing linear deterioration

    Unknown

  • Minimizing makespan in three-machine flow shops with deteriorating jobs

    Ji-Bo Wang;Ming-Zheng Wang

  • Single-machine scheduling with time-and-resource-dependent processing times

    Cai Min Wei;Ji Bo Wang;Ping Ji

  • A branch-and-bound algorithm for solving a two-machine flow shop problem with deteriorating jobs

    C. T. Ng;J. B. Wang;T. C. E. Cheng;L. L. Liu

  • Single-machine scheduling with learning effect and resource-dependent processing times

    Dan Wang;Ming-Zheng Wang;Ji-Bo Wang

  • Minimizing total weighted completion time in a two-machine flow shop scheduling under simple linear deterioration

    Shu-Hui Yang;Ji-Bo Wang

  • Single machine scheduling with time-dependent deterioration and exponential learning effect

    Xue Huang;Ji-Bo Wang;Li-Yan Wang;Wen-Jun Gao

  • Single machine group scheduling with general linear deterioration to minimize the makespan

    Ji-Bo Wang;Wen-Jun Gao;Li-Yan Wang;Li-Yan Wang;Dan Wang

  • Single machine past-sequence-dependent setup times scheduling with general position-dependent and time-dependent learning effects

    Ji-Bo Wang;Jun-Xiang Li

  • Several flow shop scheduling problems with truncated position-based learning effect

    Xiao-Yuan Wang;Xiao-Yuan Wang;Zhili Zhou;Xi Zhang;Ping Ji;Ping Ji

  • Single-machine scheduling with simple linear deterioration to minimize earliness penalties

    Dan Wang;Ji-Bo Wang

Frequent Co-Authors

Ping Ji
Ping Ji Hong Kong Polytechnic University
T.C.E. Cheng
T.C.E. Cheng Hong Kong Polytechnic University
Dar-Li Yang
Dar-Li Yang National Formosa University

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