World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
4080
World Ranking
9062
National Ranking
1516

Renjie Ji 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 Renjie Ji 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: 106 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Renjie Ji 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 Renjie Ji 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Renjie Ji is affiliated with China University of Petroleum, Beijing in China. Their primary field of research is Engineering, with a focus on Electrical and Electronic Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment, Biomedical Engineering, and Industrial and Manufacturing Engineering.

Their recent publications demonstrate a range of topics within these fields. Examples of recent papers include:

  • Data-driven early fault diagnostic methodology of permanent magnet synchronous motor, 2021, Expert Systems with Applications
  • Defect-rich engineering and F dopant Co-modulated NiO hollow dendritic skeleton as a self-supported electrode for high-current density hydrogen evolution reaction, 2020, Chemical Engineering Journal
  • A novel nickel-based honeycomb electrode with microtapered holes and abundant multivacancies for highly efficient overall water splitting, 2020, Applied Catalysis B: Environmental
  • Sustainable and high-efficiency green electrical discharge machining milling method, 2020, Journal of Cleaner Production
  • Microstructure and mechanical properties of 2319 aluminum alloy deposited by laser and cold metal transfer hybrid additive manufacturing, 2023, Journal of Materials Research and Technology

Renjie Ji has collaborated frequently with several co-authors, including Liu Y, Xinlei Wu, Hui Jin, Baoping Cai, and Guimin Zhao.

Their publications often appear in journals with repeated contributions such as Journal of Cleaner Production, Chinese Journal of Aeronautics, Surface and Coatings Technology, Procedia CIRP, and SSRN Electronic Journal.

The scientist's research encompasses various topics, notably:

  • Advanced Machining and Optimization Techniques
  • Advanced machining processes and optimization
  • Electrocatalysts for Energy Conversion
  • Organic Light-Emitting Diodes Research
  • Organic Electronics and Photovoltaics
  • Advanced Surface Polishing Techniques
  • Advanced battery technologies research

Best Publications

  • Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network

    Baoping Cai;Yonghong Liu;Qian Fan;Yunwei Zhang

  • Application of Bayesian Networks in Reliability Evaluation

    Baoping Cai;Xiangdi Kong;Yonghong Liu;Jing Lin

  • Investigation on the influence of the dielectrics on the material removal characteristics of EDM

    Yanzhen Zhang;Yonghong Liu;Yang Shen;Renjie Ji

  • Study of the recast layer of a surface machined by sinking electrical discharge machining using water-in-oil emulsion as dielectric

    Yanzhen Zhang;Yonghong Liu;Renjie Ji;Baoping Cai

  • Machining performance of silicon carbide ceramic in end electric discharge milling

    Renjie Ji;Yonghong Liu;Yanzhen Zhang;Fei Wang

  • Compound machining of titanium alloy by super high speed EDM milling and arc machining

    Fei Wang;Yonghong Liu;Yanzhen Zhang;Zemin Tang

  • Application of Bayesian networks in quantitative risk assessment of subsea blowout preventer operations.

    Baoping Cai;Yonghong Liu;Zengkai Liu;Xiaojie Tian

  • Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study

    Baoping Cai;Hongyan Fan;Xiaoyan Shao;Yonghong Liu

  • Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance

    Baoping Cai;Yanping Zhang;Haifeng Wang;Yonghong Liu

  • Influence of dielectric and machining parameters on the process performance for electric discharge milling of SiC ceramic

    Renjie Ji;Yonghong Liu;Yanzhen Zhang;Baoping Cai

  • An experimental study of crevice corrosion behaviour of 316L stainless steel in artificial seawater

    Baoping Cai;Yonghong Liu;Xiaojie Tian;Fei Wang

  • Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

    Baoping Cai;Keke Hao;Zhengda Wang;Chao Yang

  • Effect of technological parameter on the process performance for electric discharge milling of insulating Al2O3 ceramic

    Y.H. Liu;X.P. Li;R.J. Ji;L.L. Yu

  • Machining Performance of Inconel 718 Using High Current Density Electrical Discharge Milling

    Fei Wang;Yonghong Liu;Yang Shen;Renjie Ji

  • A novel method of determining energy distribution and plasma diameter of EDM

    Yanzhen Zhang;Yonghong Liu;Yang Shen;Zhen Li

  • High-speed dry electrical discharge machining

    Yang Shen;Yonghong Liu;Yanzhen Zhang;Hang Dong

  • Electric discharge milling of silicon carbide ceramic with high electrical resistivity

    Yonghong Liu;Renjie Ji;Qingyun Li;Lili Yu

  • Effect of machining fluid on the process performance of electric discharge milling of insulating Al2O3 ceramic

    Y.H. Liu;R.J. Ji;X.P. Li;L.L. Yu

  • Dehydration efficiency of high-frequency pulsed DC electrical fields on water-in-oil emulsion

    Yanzhen Zhang;Yonghong Liu;Renjie Ji

  • Defect-rich engineering and F dopant Co-modulated NiO hollow dendritic skeleton as a self-supported electrode for high-current density hydrogen evolution reaction

    Fan Zhang;Renjie Ji;Yonghong Liu;Zhijian Li

  • Application of variable frequency technique on electrical dehydration of water-in-oil emulsion

    Yanzhen Zhang;Yonghong Liu;Renjie Ji;Fei Wang

  • A novel nickel-based honeycomb electrode with microtapered holes and abundant multivacancies for highly efficient overall water splitting

    Fan Zhang;Renjie Ji;Yonghong Liu;Yuan Pan

  • High-speed near dry electrical discharge machining

    Yang Shen;Yonghong Liu;Wanyun Sun;Yanzhen Zhang

  • Investigation of emulsion for die sinking EDM

    Yonghong Liu;Renjie Ji;Yanzhen Zhang;Haifeng Zhang

  • Optimizing machining parameters of silicon carbide ceramics with ED milling and mechanical grinding combined process

    Renjie Ji;Yonghong Liu;Yanzhen Zhang;Baoping Cai

  • Electric Field and Humidity Trigger Contact Electrification

    Yanzhen Zhang;Thomas Pähtz;Yonghong Liu;Xiaolong Wang

Frequent Co-Authors

Yonghong Liu
Yonghong Liu China University of Petroleum, Beijing
Baoping Cai
Baoping Cai China University of Petroleum, Beijing
Jing Lin
Jing Lin Shenzhen University

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