World's Best Scientists 2026 revealed!
Chengshan Wang

Chengshan Wang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
14927
World Ranking
978
National Ranking
170

Chengshan Wang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Chengshan Wang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 336 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Chengshan Wang D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 69 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Chengshan Wang is affiliated with Tianjin University in China and has produced extensive research in Earth and Planetary Sciences, with a total of 339 publications in the field. Their work spans multiple subfields including Geophysics, Atmospheric Science, Paleontology, Mechanics of Materials, and Geology.

The scientist's research focuses on several main topics:

  • Geology and Paleoclimatology Research
  • Geological and Geochemical Analysis
  • Paleontology and Stratigraphy of Fossils
  • Hydrocarbon exploration and reservoir analysis
  • Geological and Geophysical Studies
  • Geological formations and processes
  • Geochemistry and Geologic Mapping

Chengshan Wang has contributed to numerous publications in important scientific journals and venues. The most frequent publication venues include:

  • Geological Society of America Bulletin
  • Palaeogeography Palaeoclimatology Palaeoecology
  • Global and Planetary Change
  • SSRN Electronic Journal
  • Geophysical Research Letters

Recent papers authored or co-authored by Chengshan Wang are:

  • The Deep-Time Digital Earth program: data-driven discovery in geosciences, 2021, National Science Review
  • Revised chronology of central Tibet uplift (Lunpola Basin), 2020, Science Advances
  • Organic carbon burial is paced by a ~173-ka obliquity cycle in the middle to high latitudes, 2021, Science Advances
  • Geoscience knowledge graph in the big data era, 2021, Science China Earth Sciences
  • Mesozoic-Cenozoic tectonic evolution and dynamics of the Songliao Basin, NE Asia: Implications for the closure of the Paleo-Asian Ocean and Mongol-Okhotsk Ocean and subduction of the Paleo-Pacific Ocean, 2020, Earth-Science Reviews

Frequent collaborators of Chengshan Wang include:

  • Yalin Li
  • Yuan Gao
  • Laiming Zhang
  • Jingen Dai
  • Zhongpeng Han

The scope of Chengshan Wang's research addresses complex geological processes and integrates multiple scientific approaches to analyze Earth's physical and chemical properties. Their publications contribute to knowledge in stratigraphy, tectonic history, paleoclimatology, and digital applications in geosciences.

Best Publications

  • A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles ☆

    Yunfei Mu;Yunfei Mu;Jianzhong Wu;Nicholas Jenkins;Hongjie Jia

  • Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point

    Peng Li;Haoran Ji;Chengshan Wang;Jinli Zhao

  • Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support

    Linquan Bai;Jianhui Wang;Chengshan Wang;Chen Chen

  • Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems

    Yang Mi;Yang Fu;Chengshan Wang;Peng Wang

  • Benefits analysis of Soft Open Points for electrical distribution network operation

    Wanyu Cao;Jianzhong Wu;Nicholas Jenkins;Chengshan Wang

  • Operating principle of Soft Open Points for electrical distribution network operation

    Wanyu Cao;Jianzhong Wu;Nicholas Jenkins;Chengshan Wang

  • Robust Operation of Soft Open Points in Active Distribution Networks With High Penetration of Photovoltaic Integration

    Haoran Ji;Chengshan Wang;Peng Li;Fei Ding

  • Network Partition and Voltage Coordination Control for Distribution Networks With High Penetration of Distributed PV Units

    Yuanyuan Chai;Li Guo;Chengshan Wang;Zongzheng Zhao

  • Sizing of Energy Storage and Diesel Generators in an Isolated Microgrid Using Discrete Fourier Transform (DFT)

    Jun Xiao;Linquan Bai;Fangxing Li;Haishen Liang

  • A Nonlinear-Disturbance-Observer-Based DC-Bus Voltage Control for a Hybrid AC/DC Microgrid

    Chengshan Wang;Xialin Li;Li Guo;Yun Wei Li

  • Optimal siting and sizing of soft open points in active electrical distribution networks

    Chengshan Wang;Guanyu Song;Peng Li;Haoran Ji

  • A Demand Response and Battery Storage Coordination Algorithm for Providing Microgrid Tie-Line Smoothing Services

    Dan Wang;Shaoyun Ge;Hongjie Jia;Chengshan Wang

  • Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions

    Peng Li;Haoran Ji;Chengshan Wang;Jinli Zhao

  • Stability Analysis and Damping Enhancement Based on Frequency-Dependent Virtual Impedance for DC Microgrids

    Li Guo;Shaohui Zhang;Xialin Li;Yun Wei Li

  • Modeling and simulation of grid-connected hybrid photovoltaic/battery distributed generation system

    Fei Ding;Peng Li;Bibin Huang;Fei Gao

  • Modeling and optimal operation of community integrated energy systems: A case study from China

    Chengshan Wang;Chaoxian Lv;Peng Li;Guanyu Song

  • Interleaved High-Conversion-Ratio Bidirectional DC–DC Converter for Distributed Energy-Storage Systems—Circuit Generation, Analysis, and Design

    Yi-Feng Wang;Li-Kun Xue;Cheng-Shan Wang;Ping Wang

  • The sliding mode load frequency control for hybrid power system based on disturbance observer

    Yang Mi;Yang Mi;Yang Fu;Dongdong Li;Chengshan Wang

  • Multi-objective stochastic optimal planning method for stand-alone microgrid system

    Li Guo;Wenjian Liu;Bingqi Jiao;Bowen Hong

  • Frequency Control of an Isolated Micro-Grid Using Double Sliding Mode Controllers and Disturbance Observer

    Chengshan Wang;Yang Mi;Yang Fu;Peng Wang

  • Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

    Ling-Ling Li;Shi-Yu Wen;Ming-Lang Tseng;Cheng-Shan Wang

Frequent Co-Authors

Jianzhong Wu
Jianzhong Wu Cardiff University
Hongjie Jia
Hongjie Jia Tianjin University
Jinwei He
Jinwei He Tianjin University
Yun Wei Li
Yun Wei Li University of Alberta
Nick Jenkins
Nick Jenkins Cardiff University
Fangxing Li
Fangxing Li University of Tennessee at Knoxville
Janaka Ekanayake
Janaka Ekanayake University of Peradeniya
Poh Chiang Loh
Poh Chiang Loh Chinese University of Hong Kong
Chenghui Zhang
Chenghui Zhang Shandong University
Tim C. Green
Tim C. Green Imperial College London

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