World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
88
Citations
32453
World Ranking
2669
National Ranking
67

Min Wang publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Min Wang sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 537 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Min Wang D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Min Wang sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 88 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Min Wang is affiliated with Qingdao University in China and has an extensive record of research contributions primarily in the fields of Engineering and Computer Science. Their work spans various subfields including Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Mechanical Engineering, and Artificial Intelligence.

Min Wang's research frequently appears in several publication venues, reflecting their active involvement in scholarly discourse across multiple platforms. These venues include:

  • International Journal of Robust and Nonlinear Control
  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Neural Networks and Learning Systems

Their recent papers demonstrate a focus on nonlinear control systems, observer-based fuzzy control, neural control techniques, and formation learning in multiagent systems. Notable publications include:

  • "A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises," 2020, IEEE Transactions on Automatic Control
  • "Observer-Based Fuzzy Output-Feedback Control for Discrete-Time Strict-Feedback Nonlinear Systems With Stochastic Noises," 2020, IEEE Transactions on Cybernetics
  • "System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer," 2020, IEEE Transactions on Cybernetics
  • "Leader-Follower Formation Learning Control of Discrete-Time Nonlinear Multiagent Systems," 2021, IEEE Transactions on Cybernetics
  • "Recursive Hybrid Variable Monitoring for Fault Detection in Nonstationary Industrial Processes," 2022, IEEE Transactions on Industrial Informatics

The main topics of Min Wang's research involve:

  • Adaptive Control of Nonlinear Systems
  • Adaptive Dynamic Programming Control
  • Fault Detection and Control Systems
  • Neural Networks Stability and Synchronization
  • Distributed Control Multi-Agent Systems
  • Advanced Control Systems Optimization
  • Iterative Learning Control Systems

Min Wang's work is often conducted in collaboration with several coauthors, reflecting a networked research approach. Frequent collaborators include:

  • Haotian Shi
  • Chenguang Yang
  • Guofeng Yao
  • Maoyin Chen
  • Longwang Huang

Overall, Min Wang's research outputs indicate a sustained engagement with complex control theory problems and the application of control methods to nonlinear and multiagent systems. Their contributions span theoretical frameworks as well as practical monitoring and fault detection solutions within industrial informatics contexts.

Best Publications

  • The critical role of potassium in plant stress response.

    Min Wang;Qingsong Zheng;Qirong Shen;Shiwei Guo

  • Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean

    Zhengkui Zhou;Yu Jiang;Zheng Wang;Zhiheng Gou

  • Construction of a human cell landscape at single-cell level.

    Xiaoping Han;Ziming Zhou;Lijiang Fei;Huiyu Sun

  • Dysbiosis-Induced Secondary Bile Acid Deficiency Promotes Intestinal Inflammation

    Sidhartha R. Sinha;Yeneneh Haileselassie;Linh P. Nguyen;Carolina Tropini

  • Steel slag in China: Treatment, recycling, and management.

    Jianlong Guo;Yanping Bao;Min Wang

  • Fourteen-Year Follow-Up of Children With and Without Speech/Language Impairments: Speech/Language Stability and Outcomes

    Carla J. Johnson;Joseph H. Beitchman;Arlene Young;Michael Escobar

  • A metabolic pathway for bile acid dehydroxylation by the gut microbiome

    Masanori Funabashi;Masanori Funabashi;Tyler L. Grove;Min Wang;Yug Varma

  • Developing China's Ecological Redline Policy using ecosystem services assessments for land use planning.

    Yang Bai;Christina P. Wong;Bo Jiang;Alice C. Hughes

  • Alphabetic and nonalphabetic L1 effects in English word identification: a comparison of Korean and Chinese English L2 learners.

    Min Wang;Keiko Koda;Charles A Perfetti

  • Role of silicon on plant-pathogen interactions.

    Min Wang;Limin Gao;Suyue Dong;Yuming Sun

  • The Molecular Architecture for RNA-Guided RNA Cleavage by Cas13a.

    Liang Liu;Xueyan Li;Jun Ma;Zongqiang Li

  • Chinese-English biliteracy acquisition: cross-language and writing system transfer.

    Min Wang;Charles A. Perfetti;Ying Liu

  • Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance

    Shude He;Min Wang;Shi-Lu Dai;Fei Luo

  • Evolution of the H9N2 influenza genotype that facilitated the genesis of the novel H7N9 virus

    Juan Pu;Shuoguo Wang;Yanbo Yin;Guozhong Zhang

  • Contribution of Morphological Awareness to Chinese-English Biliteracy Acquisition.

    Min Wang;Chenxi Cheng;Shi-Wei Chen

  • Two Distant Catalytic Sites Are Responsible for C2c2 RNase Activities

    Liang Liu;Xueyan Li;Jiuyu Wang;Min Wang

  • Adaptive Neural Control of Pure-Feedback Nonlinear Time-Delay Systems via Dynamic Surface Technique

    Min Wang;Xiaoping Liu;Peng Shi

  • Copper‐Catalyzed Enantioselective 1,6‐Boration of para‐Quinone Methides and Efficient Transformation of gem‐Diarylmethine Boronates to Triarylmethanes

    Yazhou Lou;Peng Cao;Tao Jia;Yongling Zhang

  • Phosphine-Catalyzed Annulations of Azomethine Imines: Allene-Dependent [3 + 2], [3 + 3], [4 + 3], and [3 + 2 + 3] Pathways

    Risong Na;Chengfeng Jing;Qihai Xu;Hui Jiang

  • Structural and Mechanistic Basis of PAM-Dependent Spacer Acquisition in CRISPR-Cas Systems

    Jiuyu Wang;Jiazhi Li;Hongtu Zhao;Gang Sheng

Frequent Co-Authors

Shiwei Guo
Shiwei Guo Nanjing Agricultural University
Feng Zhu
Feng Zhu Zhejiang University
Zhonghe Zhou
Zhonghe Zhou Chinese Academy of Sciences
Jingmai K. O’Connor
Jingmai K. O’Connor Chinese Academy of Sciences
Qirong Shen
Qirong Shen Nanjing Agricultural University
Ning Ling
Ning Ling Nanjing Agricultural University
Shuangfang Lu
Shuangfang Lu Northeast Petroleum University
Charles A. Perfetti
Charles A. Perfetti University of Pittsburgh
Chenguang Yang
Chenguang Yang University of Liverpool
Junjie Guo
Junjie Guo Taiyuan University of Technology

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