World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
47
Citations
8799
World Ranking
1272
National Ranking
69

Computer Science

D-Index
47
Citations
9204
World Ranking
6476
National Ranking
862

Lixin Tang publications per year

1995: 1 publications 1996: 0 publications 1997: 1 publications 1998: 1 publications 1999: 5 publications 2000: 2 publications 2001: 2 publications 2002: 5 publications 2003: 1 publications 2004: 2 publications 2005: 10 publications 2006: 8 publications 2007: 15 publications 2008: 36 publications 2009: 43 publications 2010: 22 publications 2011: 15 publications 2012: 13 publications 2013: 14 publications 2014: 13 publications 2015: 12 publications 2016: 16 publications 2017: 11 publications 2018: 11 publications 2019: 14 publications 2020: 16 publications 2021: 14 publications 2022: 10 publications 2023: 18 publications 2024: 24 publications 2025: 38 publications
1995 2025

393 publications in total across all disciplines

Lixin Tang publication distribution in Mathematics in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2027. The highlighted bar marks where Lixin Tang 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: 83 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: 277 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Lixin Tang D-index placement in Mathematics in 2027

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2027. The highlighted bar marks where Lixin Tang 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: 138 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: 47 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Lixin Tang is affiliated with Northeastern University in China and works primarily in the fields of Engineering and Computer Science. Their research output shows a strong focus on industrial and manufacturing engineering as well as artificial intelligence and control and systems engineering.

Their scholarly work encompasses a broad range of topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Scheduling and Optimization Algorithms
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Packing Problems
  • Machine Learning in Materials Science
  • Fault Detection and Control Systems

Among their recent papers, notable publications include:

  • "Labor costs and the adoption of robots in China" (2020) published in Journal of Economic Behavior & Organization
  • "Data analytics and optimization for smart industry" (2020) published in Frontiers of Engineering Management
  • "A reinforcement learning approach for dynamic multi-objective optimization" (2020) published in Information Sciences
  • "A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace" (2021) published in IEEE Transactions on Neural Networks and Learning Systems
  • "Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer" (2022) published in IEEE Transactions on Evolutionary Computation

Lixin Tang frequently collaborates with several coauthors, including:

  • Ying Meng
  • Xianpeng Wang
  • Jiyin Liu
  • Xiangman Song
  • Chang Liu

Their extensive publication record includes contributions to several prominent venues such as:

  • IEEE Transactions on Automation Science and Engineering
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • IEEE Transactions on Evolutionary Computation
  • SSRN Electronic Journal
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • A review of planning and scheduling systems and methods for integrated steel production

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron & Steel Complex

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • A mathematical programming model for scheduling steelmaking-continuous casting production

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • Differential Evolution With an Individual-Dependent Mechanism

    Lixin Tang;Yun Dong;Jiyin Liu

  • An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production

    Lixin Tang;Yue Zhao;Jiyin Liu

  • Steel-making process scheduling using Lagrangian relaxation

    Lixin Tang;Peter B. Luh;Jiyin Liu;Lei Fang

  • A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems

    Lixin Tang;Xianpeng Wang

  • Scheduling a hybrid flowshop with batch production at the last stage

    Hua Xuan;Lixin Tang

  • A reinforcement learning approach for dynamic multi-objective optimization

    Fei Zou;Gary G. Yen;Lixin Tang;Chunfeng Wang

  • Modeling and solution of the joint quay crane and truck scheduling problem

    Lixin Tang;Jiao Zhao;Jiyin Liu

  • A two-stage flow shop scheduling problem on a batching machine and a discrete machine with blocking and shared setup times

    Hua Gong;Lixin Tang;C. W. Duin

  • A new hybrid ant colony optimization algorithm for the vehicle routing problem

    Xiaoxia Zhang;Lixin Tang

  • A multi-objective model for purchasing of bulk raw materials of a large-scale integrated steel plant

    Zhen Gao;Lixin Tang

  • A neural network model and algorithm for the hybrid flow shop scheduling problem in a dynamic environment

    Lixin Tang;Wenxin Liu;Jiyin Liu

  • Iterated local search algorithm based on very large-scale neighborhood for prize-collecting vehicle routing problem

    Lixin Tang;Xianpeng Wang

  • Modelling and a genetic algorithm solution for the slab stack shuffling problem when implementing steel rolling schedules

    Lixin Tang;Jiyin Liu;Aiying Rong;Zihou Yang

  • A new Lagrangian relaxation algorithm for hybrid flowshop scheduling to minimize total weighted completion time

    Lixin Tang;Hua Xuan;Jiyin Liu

  • Decision support system for the batching problems of steelmaking and continuous-casting production

    Lixin Tang;Gongshu Wang

  • A tabu search heuristic for the hybrid flowshop scheduling with finite intermediate buffers

    Xianpeng Wang;Lixin Tang

  • An improved Benders decomposition algorithm for the logistics facility location problem with capacity expansions

    Lixin Tang;Wei Jiang;Georgios K. D. Saharidis

  • A population-based variable neighborhood search for the single machine total weighted tardiness problem

    Xianpeng Wang;Lixin Tang

Frequent Co-Authors

Jiyin Liu
Jiyin Liu Loughborough University
Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Zhi-Long Chen
Zhi-Long Chen University of Maryland, College Park
Gary G. Yen
Gary G. Yen Oklahoma State University
Joseph Y.-T. Leung
Joseph Y.-T. Leung New Jersey Institute of Technology
Luquan Ren
Luquan Ren Jilin University
Zhe George Zhang
Zhe George Zhang Western Washington University
Zhongchang Wang
Zhongchang Wang International Iberian Nanotechnology Laboratory
Efstratios N. Pistikopoulos
Efstratios N. Pistikopoulos Texas A&M University
Peter B. Luh
Peter B. Luh University of Connecticut

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