World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
44
Citations
7324
World Ranking
16823
National Ranking
2551

Yong Jia publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Yong Jia sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 96 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Yong Jia D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 44 D-Index — 7th percentile

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

The last bar groups every scientist with 159 D-Index or more.

Overview

Yong Jia is a researcher affiliated with Anhui University of Traditional Chinese Medicine in China. Their research spans multiple domains, prominently featuring fields such as Engineering and Neuroscience. A significant portion of their work falls under several subfields including Electrical and Electronic Engineering, Cognitive Neuroscience, Statistical and Nonlinear Physics, Control and Systems Engineering, and Cellular and Molecular Neuroscience.

The main topics covered by Yong Jia's research include neural dynamics and brain function, stochastic dynamics and bifurcation, Microgrid control and optimization, power systems and renewable energy, nonlinear dynamics and pattern formation, advanced memory and neural computing, and frequency control in power systems.

Yong Jia has published papers in various venues, with a focus on forums related to energy systems, nonlinear science, and complex systems. Frequent publication venues include:

  • 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)
  • Cognitive Neurodynamics
  • SSRN Electronic Journal
  • Communications in Nonlinear Science and Numerical Simulation
  • Chaos Solitons & Fractals

Coauthorship is an important element of Yong Jia's work, collaborating frequently with researchers such as Huaguang Gu, Yuye Li, Xianjun Wang, Shilei Lu, and Xiaoqing Han.

Representative papers from Yong Jia's recent work include:

  • A novel forecasting based scheduling method for household energy management system based on deep reinforcement learning, 2021, Sustainable Cities and Society
  • Inhibitory autapses enhance coherence resonance of a neuronal network, 2020, Communications in Nonlinear Science and Numerical Simulation
  • Photovoltaic Panel Temperature Monitoring and Prediction by Raman Distributed Temperature Sensor With Fuzzy Temperature Difference Threshold Method, 2020, IEEE Sensors Journal
  • Bifurcations underlying different excitability transitions modulated by excitatory and inhibitory memristor and chemical autapses, 2021, Chaos Solitons & Fractals
  • Multiple coherence resonances evoked from bursting and the underlying bifurcation mechanism, 2020, Nonlinear Dynamics

Best Publications

  • Upper critical fields and thermally-activated transport of NdFeAsO 0.7 F 0.3 single crystal

    J. Jaroszynski;F. Hunte;L. Balicas;Youn-jung Jo

  • Iron and 1,3,5-Benzenetricarboxylic Metal–Organic Coordination Polymers Prepared by Solvothermal Method and Their Application in Efficient As(V) Removal from Aqueous Solutions

    Bang-Jing Zhu;Bang-Jing Zhu;Xin-Yao Yu;Yong Jia;Fu-Min Peng

  • New Fe-based superconductors: properties relevant for applications

    M Putti;I Pallecchi;E Bellingeri;M R Cimberle

  • Facile synthesis of urchin-like NiCo2O4 hollow microspheres with enhanced electrochemical properties in energy and environmentally related applications.

    Xin-Yao Yu;Xian-Zhi Yao;Xian-Zhi Yao;Tao Luo;Yong Jia

  • Novel 3D Hierarchical Cotton-Candy-Like CuO: Surfactant-Free Solvothermal Synthesis and Application in As(III) Removal

    Xin-Yao Yu;Ren-Xia Xu;Ren-Xia Xu;Chao Gao;Chao Gao;Tao Luo

  • Three-dimensional hierarchical flower-like Mg–Al-layered double hydroxides: highly efficient adsorbents for As(V) and Cr(VI) removal

    Xin-Yao Yu;Tao Luo;Yong Jia;Ren-Xia Xu

  • Adsorption of Lead(II) on O2-Plasma-Oxidized Multiwalled Carbon Nanotubes: Thermodynamics, Kinetics, and Desorption

    Xin-Yao Yu;Tao Luo;Yong-Xing Zhang;Yong Jia

  • Excellent fluoride removal performance by CeO2–ZrO2 nanocages in water environment

    Jing Wang;Jing Wang;Weihong Xu;Weihong Xu;Liang Chen;Liang Chen;Yong Jia

  • Performance of novel hydroxyapatite nanowires in treatment of fluoride contaminated water

    Junyong He;Kaisheng Zhang;Kaisheng Zhang;Shibiao Wu;Xingguo Cai;Xingguo Cai

  • Porous Hierarchically Micro-/Nanostructured MgO: Morphology Control and Their Excellent Performance in As(III) and As(V) Removal

    Xin-Yao Yu;Tao Luo;Yong Jia;Yong-Xing Zhang

  • Enhanced adsorption of cadmium ions by 3D sulfonated reduced graphene oxide

    Shibiao Wu;Shibiao Wu;Kaisheng Zhang;Xuelong Wang;Yong Jia

  • Effective removal of fluoride by porous MgO nanoplates and its adsorption mechanism

    Zhen Jin;Yong Jia;Kai-Sheng Zhang;Ling-Tao Kong

  • Gas sensors for ammonia detection based on polyaniline-coated multi-wall carbon nanotubes

    Lifang He;Lifang He;Yong Jia;Yong Jia;Fanli Meng;Fanli Meng;Minqiang Li

  • Millimeter-sized Mg–Al-LDH nanoflake impregnated magnetic alginate beads (LDH-n- MABs): a novel bio-based sorbent for the removal of fluoride in water

    Chao Gao;Chao Gao;Xin-Yao Yu;Tao Luo;Yong Jia

  • Al-1,3,5-benzenetricarboxylic metal–organic frameworks: A promising adsorbent for defluoridation of water with pH insensitivity and low aluminum residual

    Nantong Zhang;Nantong Zhang;Xuan Yang;Xuan Yang;Xinyao Yu;Yong Jia

  • Preparation of Porous Tin Oxide Nanotubes Using Carbon Nanotubes as Templates and Their Gas-Sensing Properties

    Yong Jia;Lifang He;Zheng Guo;Xing Chen

  • A facile solution approach for the synthesis of akaganéite (β-FeOOH) nanorods and their ion-exchange mechanism toward As(V) ions

    Yong-Xing Zhang;Yong Jia

  • Facile synthesis of porous single crystalline ZnO nanoplates and their application in photocatalytic reduction of Cr(VI) in the presence of phenol

    Zhen Jin;Yong-Xing Zhang;Fan-Li Meng;Yong Jia

  • Facet-dependent electrochemical properties of Co3O4 nanocrystals toward heavy metal ions

    Xin-Yao Yu;Qiang-Qiang Meng;Tao Luo;Yong Jia

  • Template synthesis, organic gas-sensing and optical properties of hollow and porous In2O3 nanospheres

    Zheng Guo;Zheng Guo;Jinyun Liu;Yong Jia;Xing Chen

  • Ultra high adsorption capacity of fried egg jellyfish-like γ-AlOOH(Boehmite)@SiO2/Fe3O4 porous magnetic microspheres for aqueous Pb(II) removal

    Yong-Xing Zhang;Yong-Xing Zhang;Xin-Yao Yu;Zhen Jin;Yong Jia

Frequent Co-Authors

Jinhuai Liu
Jinhuai Liu Chinese Academy of Sciences
Xing-Jiu Huang
Xing-Jiu Huang Chinese Academy of Sciences
Xin-Yao Yu
Xin-Yao Yu University of Science and Technology of China
Fanli Meng
Fanli Meng Northeastern University
Minqiang Li
Minqiang Li Chinese Academy of Sciences
Zheng Guo
Zheng Guo Anhui University
Hai-Hu Wen
Hai-Hu Wen Nanjing University
Jin Wang
Jin Wang Stony Brook University
Alex Gurevich
Alex Gurevich Old Dominion University
David C. Larbalestier
David C. Larbalestier Florida State University

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