World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
37
Citations
3822
World Ranking
2459
National Ranking
302

Cong Qi publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Cong Qi sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 84 publications — 3rd percentile

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

The last bar groups every scientist with 659 publications or more.

Cong Qi D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Cong Qi sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 37 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Cong Qi is affiliated with the China University of Mining and Technology in China. Their research primarily spans the fields of engineering and energy, with a substantial focus on mechanical engineering, biomedical engineering, renewable energy, sustainability and the environment, computational mechanics, and electrical and electronic engineering.

Their work extensively covers topics related to nanofluid flow and heat transfer, heat transfer mechanisms and optimization, solar-powered water purification methods, solar thermal and photovoltaic systems, heat transfer and boiling studies, and lattice Boltzmann simulation studies.

Recent papers by Cong Qi include:

  • A techno-economic investigation of 2D and 3D configurations of fins and their effects on heat sink efficiency of MHD hybrid nanofluid with slip and non-slip flow, 2020, International Journal of Mechanical Sciences
  • Effects of magnetic field on thermo-hydraulic behaviors of magnetic nanofluids in CPU cooling system, 2020, Applied Thermal Engineering
  • A novel thermal efficiency analysis on the thermo-hydraulic performance of nanofluids in an improved heat exchange system under adjustable magnetic field, 2020, Applied Thermal Engineering
  • Efficacy of hybrid nano-powder presence on the thermal conductivity of the engine oil: An experimental study, 2020, Powder Technology
  • Numerical simulation of flow and heat transfer characteristics of nanofluids in built-in porous twisted tape tube, 2021, Powder Technology

Cong Qi frequently collaborates with several researchers, including:

  • Jianglin Tu
  • Linfei Yue
  • Lin Liang
  • Yuwei Wang
  • Zhibo Tang

The preferred venues for publishing their research are diverse but prominently include the following journals:

  • Applied Thermal Engineering
  • Asia-Pacific Journal of Chemical Engineering
  • International Communications in Heat and Mass Transfer
  • Colloids and Surfaces A Physicochemical and Engineering Aspects
  • Powder Technology

Best Publications

  • Evaluating the effect of temperature and concentration on the thermal conductivity of ZnO-TiO2/EG hybrid nanofluid using artificial neural network and curve fitting on experimental data

    Mohammad Reza Safaei;Ahmad Hajizadeh;Masoud Afrand;Cong Qi

  • Experimental study on the flow and heat transfer characteristics of nanofluids in double-tube heat exchangers based on thermal efficiency assessment

    Cong Qi;Cong Qi;Tao Luo;Maoni Liu;Fan Fan

  • Experimental and numerical study of natural convection in a square enclosure filled with nanofluid

    Yanwei Hu;Yurong He;Cong Qi;Baocheng Jiang

  • A techno-economic investigation of 2D and 3D configurations of fins and their effects on heat sink efficiency of MHD hybrid nanofluid with slip and non-slip flow

    Man-Wen Tian;Sara Rostami;Saeed Aghakhani;Aysan Shahsavar Goldanlou

  • Experimental and numerical research on the flow and heat transfer characteristics of TiO2-water nanofluids in a corrugated tube

    Cong Qi;Yong-Liang Wan;Chun-Yang Li;Dong-Tai Han

  • Two-phase lattice Boltzmann simulation of the effects of base fluid and nanoparticle size on natural convection heat transfer of nanofluid

    Cong Qi;Guiqing Wang;Liyuan Yang;Yongliang Wan

  • Effects of magnetic field on thermo-hydraulic behaviors of magnetic nanofluids in CPU cooling system

    Cong Qi;Jinghua Tang;Fan Fan;Yuying Yan

  • Effect of rotating twisted tape on thermo-hydraulic performances of nanofluids in heat-exchanger systems

    Cong Qi;Guiqing Wang;Yuying Yan;Siyuan Mei

  • Study on the flow and heat transfer of liquid metal based nanofluid with different nanoparticle radiuses using two-phase lattice Boltzmann method

    Cong Qi;Lin Liang;Zhonghao Rao

  • Experimental study on thermo-hydraulic performances of CPU cooled by nanofluids

    Cong Qi;Jinding Hu;Maoni Liu;Leixin Guo

  • Experimental study on thermo-hydraulic performance of nanofluids in CPU heat sink with rectangular grooves and cylindrical bugles based on exergy efficiency

    Ning Zhao;Leixin Guo;Cong Qi;Tiantian Chen

  • Lattice Boltzmann simulation of alumina-water nanofluid in a square cavity

    Yurong He;Cong Qi;Yanwei Hu;Bin Qin

  • Effects of magnetic field on thermo-hydraulic performance of Fe3O4-water nanofluids in a corrugated tube

    Siyuan Mei;Cong Qi;Tao Luo;Xinfeng Zhai

  • Effect of corrugation pitch on thermo-hydraulic performance of nanofluids in corrugated tubes of heat exchanger system based on exergy efficiency

    Guiqing Wang;Cong Qi;Cong Qi;Maoni Liu;Chunyang Li

  • A novel thermal efficiency analysis on the thermo-hydraulic performance of nanofluids in an improved heat exchange system under adjustable magnetic field

    Fan Fan;Cong Qi;Jinghua Tang;Qi Liu

  • Efficacy of hybrid nano-powder presence on the thermal conductivity of the engine oil: An experimental study

    Xiao-Xiao Tian;Rasool Kalbasi;Cong Qi;Arash Karimipour

  • Numerical simulation of flow and heat transfer characteristics of nanofluids in built-in porous twisted tape tube

    Yuxing Wang;Cong Qi;Zi Ding;Jianglin Tu

  • Experimental study on influences of cylindrical grooves on thermal efficiency, exergy efficiency and entropy generation of CPU cooled by nanofluids

    Ning Zhao;Cong Qi;Tiantian Chen;Jinghua Tang

  • Effects of variable magnetic field on particle fouling properties of magnetic nanofluids in a novel thermal exchanger system

    Unknown

  • Numerical simulation of natural convection in a square enclosure filled with nanofluid using the two-phase Lattice Boltzmann method.

    Cong Qi;Yurong He;Shengnan Yan;Fenglin Tian

  • Effects of half spherical bulges on heat transfer characteristics of CPU cooled by TiO2-water nanofluids

    Cong Qi;Ning Zhao;Xin Cui;Tiantian Chen

  • Numerical investigation of γ-AlOOH nano-fluid convection performance in a wavy channel considering various shapes of nanoadditives

    Dat D. Vo;Jalal Alsarraf;Alireza Moradikazerouni;Masoud Afrand

Frequent Co-Authors

Yuying Yan
Yuying Yan University of Nottingham
Zhonghao Rao
Zhonghao Rao Hebei University of Technology
Yurong He
Yurong He Harbin Institute of Technology
Yulong Ding
Yulong Ding University of Birmingham
Masoud Afrand
Masoud Afrand Islamic Azad University of Najafabad
Rasool Kalbasi
Rasool Kalbasi Islamic Azad University of Najafabad
Huijin Xu
Huijin Xu Shanghai Maritime University
Chang-Ying Zhao
Chang-Ying Zhao Shanghai Jiao Tong University
Arash Karimipour
Arash Karimipour Cihan University-Erbil

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