World's Best Scientists 2026 revealed!
Yunchao Tang

Yunchao Tang

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
33
Citations
3734
World Ranking
935
National Ranking
300

Engineering and Technology

D-Index
34
Citations
4522
World Ranking
9233
National Ranking
1538

Yunchao Tang 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 Yunchao Tang 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: 48 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Yunchao Tang 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 Yunchao Tang 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: 34 D-Index — 7th percentile

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

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yunchao Tang is affiliated with Guangxi University in China and has an extensive publication record primarily in the field of engineering, with a focus on civil and structural engineering, building and construction, and plant science.

Their research topics cover a range of areas including innovative concrete reinforcement materials, structural behavior of reinforced concrete, smart agriculture and AI, infrastructure maintenance and monitoring, concrete and cement materials research, recycled aggregate concrete performance, and concrete corrosion and durability.

Frequent co-authors of Yunchao Tang include Wanhui Feng, Xiangjun Zou, Zheng Chen, Hexin Zhang, and Junbo Sun, reflecting ongoing collaborative research efforts.

Yunchao Tang has published regularly in several key academic venues, with notable counts in:

  • Construction and Building Materials
  • Engineering Structures
  • Computers and Electronics in Agriculture
  • Buildings
  • Applied Sciences

Among their recent papers are:

  • "Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review," 2020, Frontiers in Plant Science
  • "Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision," 2022, Expert Systems with Applications
  • "3D vision technologies for a self-developed structural external crack damage recognition robot," 2024, Automation in Construction
  • "Novel visual crack width measurement based on backbone double-scale features for improved detection automation," 2022, Engineering Structures
  • "Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning," 2021, Computers and Electronics in Agriculture

Best Publications

  • Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review.

    Yunchao Tang;Mingyou Chen;Chenglin Wang;Lufeng Luo

  • Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision

    Unknown

  • Novel visual crack width measurement based on backbone double-scale features for improved detection automation

    Unknown

  • Real-time detection of surface deformation and strain in recycled aggregate concrete-filled steel tubular columns via four-ocular vision

    Yunchao Tang;Yunchao Tang;Lijuan Li;Chenglin Wang;Mingyou Chen

  • Color-, depth-, and shape-based 3D fruit detection

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Juntao Xiong

  • Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review

    Unknown

  • Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Juntao Xiong

  • Fruit detection in natural environment using partial shape matching and probabilistic Hough transform

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Jiabing Cheng

  • High-accuracy multi-camera reconstruction enhanced by adaptive point cloud correction algorithm

    Mingyou Chen;Yunchao Tang;Xiangjun Zou;Kuangyu Huang

  • Vision-based extraction of spatial information in grape clusters for harvesting robots

    Lufeng Luo;Lufeng Luo;Yunchao Tang;Xiangjun Zou;Min Ye

  • A vision methodology for harvesting robot to detect cutting points on peduncles of double overlapping grape clusters in a vineyard

    Lufeng Luo;Lufeng Luo;Yunchao Tang;Qinghua Lu;Xiong Chen

  • Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning

    Guichao Lin;Lixue Zhu;Jinhui Li;Xiangjun Zou

  • 3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM

    Mingyou Chen;Yunchao Tang;Xiangjun Zou;Zhaofeng Huang

  • Detection of Fruit-Bearing Branches and Localization of Litchi Clusters for Vision-Based Harvesting Robots

    Jinhui Li;Yunchao Tang;Xiangjun Zou;Guichao Lin

  • Localisation of litchi in an unstructured environment using binocular stereo vision

    Chenglin Wang;Xiangjun Zou;Yunchao Tang;Lufeng Luo

  • Three-dimensional perception of orchard banana central stock enhanced by adaptive multi-vision technology

    Mingyou Chen;Yunchao Tang;Xiangjun Zou;Kuangyu Huang

  • Seismic performance of recycled aggregate concrete–filled steel tube columns

    Yun-Chao Tang;Li-Juan Li;Wen-Xian Feng;Feng Liu

  • Robust Grape Cluster Detection in a Vineyard by Combining the AdaBoost Framework and Multiple Color Components

    Lufeng Luo;Yunchao Tang;Xiangjun Zou;Chenglin Wang

  • Axial compression behavior of recycled-aggregate-concrete-filled GFRP–steel composite tube columns

    Yunchao Tang;Shu Fang;Jieming Chen;Liangyi Ma

  • In-field citrus detection and localisation based on RGB-D image analysis

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Jinhui Li

  • A robust fruit image segmentation algorithm against varying illumination for vision system of fruit harvesting robot

    Chenglin Wang;Yunchao Tang;Xiangjun Zou;Weiming SiTu

  • Three-dimensional reconstruction of guava fruits and branches using instance segmentation and geometry analysis

    Guichao Lin;Yunchao Tang;Xiangjun Zou;Chenglin Wang

  • Study of seismic behavior of recycled aggregate concrete-filled steel tubular columns

    Yun-Chao Tang;Li-Juan Li;Wen-Xian Feng;Feng Liu

  • Binocular vision measurement and its application in full-field convex deformation of concrete-filled steel tubular columns

    Yun-Chao Tang;Li-Juan Li;Wen-Xian Feng;Feng Liu

  • Recognition and Matching of Clustered Mature Litchi Fruits Using Binocular Charge-Coupled Device (CCD) Color Cameras

    Chenglin Wang;Yunchao Tang;Xiangjun Zou;Lufeng Luo

  • Vision-Based Three-Dimensional Reconstruction and Monitoring of Large-Scale Steel Tubular Structures

    Yunchao Tang;Mingyou Chen;Yunfan Lin;Xueyu Huang

  • Window Zooming–Based Localization Algorithm of Fruit and Vegetable for Harvesting Robot

    Chenglin Wang;Tianhong Luo;Lijun Zhao;Yunchao Tang

Frequent Co-Authors

Xiangyu Wang
Xiangyu Wang Curtin University

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