World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
4979
World Ranking
9543
National Ranking
106

Ching-Jong Liao publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ching-Jong Liao sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ching-Jong Liao D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ching-Jong Liao sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Ching-Jong Liao is a researcher affiliated with the National Taiwan University of Science and Technology in Taiwan. Their work primarily spans the field of Computer Science, with specific focus on subfields including Computer Networks and Communications, Industrial and Manufacturing Engineering, and Medical Laboratory Technology.

Their research topics cover areas such as Mobile Agent-Based Network Management, Optimization and Search Problems, Scheduling and Optimization Algorithms, and Quality and Safety in Healthcare.

Recent publications by Ching-Jong Liao include:

  • User-Induced Heuristics for Security-Constrained Unit Commitment: Variable Influence Diving and Variable Significance Neighborhood Search, 2025, IEEE Transactions on Power Systems
  • Practice and Exploration of Full Life Cycle Informationization Management of Fixed Assets in a Public Tertiary Hospital, 2025, Academic journal of management and social sciences

Frequent co-authors who have collaborated with Liao are:

  • Peijie Li
  • Junjian Qi
  • Xiaoqing Bai
  • Hua Wei
  • Xiaowang Pan

Significant venues for Liao's published work include:

  • IEEE Transactions on Power Systems
  • Academic journal of management and social sciences

Best Publications

  • A discrete version of particle swarm optimization for flowshop scheduling problems

    Ching-Jong Liao;Chao-Tang Tseng;Pin Luarn

  • Ant colony optimization combined with taboo search for the job shop scheduling problem

    Kuo-Ling Huang;Ching-Jong Liao

  • Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties

    Kuo-Jui Wu;Ching-Jong Liao;Ming-Lang Tseng;Ming K. Lim

  • An ant colony system for permutation flow-shop sequencing

    Kuo-Ching Ying;Ching-Jong Liao

  • A discrete particle swarm optimization for lot-streaming flowshop scheduling problem

    Chao-Tang Tseng;Ching-Jong Liao

  • An ant colony optimization for single-machine tardiness scheduling with sequence-dependent setups

    Ching-Jong Liao;Hsiao-Chien Juan

  • Exploring decisive factors in green supply chain practices under uncertainty

    Kuo-Jui Wu;Ching-Jong Liao;Ming-Lang Tseng;Anthony S.F. Chiu

  • A case study in a two-stage hybrid flow shop with setup time and dedicated machines

    Unknown

  • Vehicle routing with cross-docking in the supply chain

    Unknown

  • A variable neighborhood search for minimizing single machine weighted earliness and tardiness with common due date

    Ching-Jong Liao;Che-Ching Cheng

  • An approach using particle swarm optimization and bottleneck heuristic to solve hybrid flow shop scheduling problem

    Unknown

  • A particle swarm optimization algorithm for hybrid flow-shop scheduling with multiprocessor tasks

    Chao-Tang Tseng;Ching-Jong Liao

  • Makespan minimization for two parallel machines with an availability constraint

    Ching-Jong Liao;Der-Lin Shyur;Chien-Hung Lin

  • Multi-attribute approach to sustainable supply chain management under uncertainty

    Kuo-Jui Wu;Ching-Jong Liao;MingLang Tseng;Kevin Kuan-Shun Chiu

  • An Improved Formulation for the Job-Shop Scheduling Problem

    Unknown

  • An efficient heuristic for a two-stage assembly scheduling problem with batch setup times to minimize makespan

    Ching-Jong Liao;Cheng-Hsiung Lee;Hong-Chieh Lee

  • Exploring eco-innovation in dynamic organizational capability under incomplete information in the Taiwanese lighting industry

    Kuo-Jui Wu;Ching-Jong Liao;Chih-Cheng Chen;Yuanhsu Lin

  • Understanding Innovation for Sustainable Business Management Capabilities and Competencies under Uncertainty

    Kuo-Jui Wu;Ching-Jong Liao;Ming-Lang Tseng;Pei-Jay Chou

  • Group scheduling on two cells with intercell movement

    Unknown

  • A performance evaluation of permutation vs. non-permutation schedules in a flowshop

    C. J. Liao;L. M. Liao;C. T. Tseng

  • An ant colony system approach for scheduling problems

    Kuo-Ching Ying;Ching-Jong Liao

  • Two new approaches for a two-stage hybrid flowshop problem with a single batch processing machine under waiting time constraint

    Tsui-Ping Chung;Heng Sun;Ching-Jong Liao

  • Minimizing total tardiness on a single machine with controllable processing times

    Chao-Tang Tseng;Ching-Jong Liao;Kuo-Ling Huang

  • Improved MILP models for two-machine flowshop with batch processing machines

    Ching-Jong Liao;Li-Man Liao

  • A comparison of five hybrid metaheuristic algorithms for unrelated parallel-machine scheduling and inbound trucks sequencing in multi-door cross docking systems

    T.W. Liao;P.C. Chang;R.J. Kuo;C.-J. Liao

  • Minimizing makespan for two parallel machines with job limit on each availability interval

    C.-J. Liao;C.-M. Chen;C.-H. Lin

Frequent Co-Authors

Kuo-Jui Wu
Kuo-Jui Wu Hainan University
Ming-Lang Tseng
Ming-Lang Tseng Asian University
Anthony S.F. Chiu
Anthony S.F. Chiu De La Salle University
Chih-Ming Chen
Chih-Ming Chen National Chengchi University
Kim Hua Tan
Kim Hua Tan University of Nottingham

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