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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
66
Citations
10905
World Ranking
112
National Ranking
13

Computer Science

D-Index
55
Citations
9863
World Ranking
4380
National Ranking
2044

Lirong Yin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lirong Yin sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 86 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lirong Yin D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Lirong Yin is a researcher affiliated with Louisiana State University in the United States. Their research primarily spans the fields of computer science, environmental science, and engineering, with a significant focus on artificial intelligence, computer vision, and environmental engineering.

The scientist's work explores various advanced technologies and methodologies. Key topics of their research include:

  • Advanced Technologies in Various Fields
  • Flood Risk Assessment and Management
  • Air Quality and Health Impacts
  • Multimodal Machine Learning Applications
  • Air Quality Monitoring and Forecasting
  • Topic Modeling
  • Hydrological Forecasting Using AI

Frequent publication venues for Lirong Yin's work include:

  • Applied Sciences
  • Atmosphere
  • Land
  • Computer Modeling in Engineering & Sciences
  • Electronics

Their collaborations include regular co-authorship with several researchers, such as:

  • Wenfeng Zheng
  • Bo Yang
  • Zhengtong Yin
  • Shan Liu
  • Mingzhe Liu

Among their recent publications are the following papers:

  • "The multi-modal fusion in visual question answering: a review of attention mechanisms" (2023), published in PeerJ Computer Science
  • "Multiscale Feature Extraction and Fusion of Image and Text in VQA" (2023), published in International Journal of Computational Intelligence Systems
  • "Adapting Feature Selection Algorithms for the Classification of Chinese Texts" (2023), published in Systems
  • "Knowledge base graph embedding module design for Visual question answering model" (2021), published in Pattern Recognition
  • "Forecasting Urban Land Use Change Based on Cellular Automata and the PLUS Model" (2022), published in Land

Lirong Yin's research intersects with numerous subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Environmental Engineering
  • Biomedical Engineering
  • Global and Planetary Change

Best Publications

  • The multi-modal fusion in visual question answering: a review of attention mechanisms

    Unknown

  • Multiscale Feature Extraction and Fusion of Image and Text in VQA

    Unknown

  • A Few Shot Classification Methods Based on Multiscale Relational Networks

    Unknown

  • A Deep Fusion Matching Network Semantic Reasoning Model

    Unknown

  • Knowledge base graph embedding module design for Visual question answering model

    Wenfeng Zheng;Lirong Yin;Xiaobing Chen;Zhiyang Ma

  • Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network

    Unknown

  • Lightweight transformer image feature extraction network

    Unknown

  • Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching

    Unknown

  • Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing

    Unknown

  • U-Net-LSTM: Time Series-Enhanced Lake Boundary Prediction Model

    Unknown

  • Endoscope image mosaic based on pyramid ORB

    Ziyan Zhang;Lixiao Wang;Wenfeng Zheng;Lirong Yin

  • Research on image classification method based on improved multi-scale relational network

    Wenfeng Zheng;Xiangjun Liu;Lirong Yin

  • Joint embedding VQA model based on dynamic word vector.

    Zhiyang Ma;Wenfeng Zheng;Xiaobing Chen;Lirong Yin

  • 2D/3D Multimode Medical Image Alignment Based on Spatial Histograms

    Unknown

  • Sentence Representation Method Based on Multi-Layer Semantic Network

    Wenfeng Zheng;Xiangjun Liu;Lirong Yin

  • An improved method for soft tissue modeling

    Yushan Tang;Shan Liu;Yaru Deng;Yuhui Zhang

  • Improving Visual Reasoning Through Semantic Representation

    Wenfeng Zheng;Xiangjun Liu;Xubin Ni;Lirong Yin

  • YOLOV4_CSPBi: Enhanced Land Target Detection Model

    Unknown

  • Increasing Text Filtering Accuracy with Improved LSTM

    Unknown

  • Micro-Directional Propagation Method Based on User Clustering

    Unknown

  • A Haze Prediction Method Based on One-Dimensional Convolutional Neural Network

    Ziyan Zhang;Jiawei Tian;Weizheng Huang;Lirong Yin

  • Construction of force haptic reappearance system based on Geomagic Touch haptic device

    Yushan Tang;Shan Liu;Yaru Deng;Yuhui Zhang

  • Research and improvement of feature detection algorithm based on FAST

    Yulin Li;Wenfeng Zheng;Xiangjun Liu;Yuanyuan Mou

  • Multi-scale Relation Network for Few-Shot Learning Based on Meta-learning

    Yueming Ding;Xia Tian;Lirong Yin;Xiaobing Chen

  • The Retrieved Urban LST in Beijing Based on TM, HJ-1B and MODIS

    Wenfeng Zheng;Xiaolu Li;Lirong Yin;Yali Wang

  • Semantic representation for visual reasoning

    Xubin Ni;Lirong Yin;Xiaobing Chen;Shan Liu;Shan Liu

  • Predicting seismicity trend in southwest of China based on wavelet analysis

    Xiaolu Li;Wenfeng Zheng;Dan Wang;Lirong Yin

  • Seismic spatiotemporal characteristics in the Alpide Himalayan Seismic Belt

    Xiaolu Li;Lirong Yin;Li Yao;Wenping Yu

  • Adaptive Neural Network Control of Time Delay Teleoperation System Based on Model Approximation.

    Yaxiang Wang;Jiawei Tian;Yan Liu;Bo Yang

  • Study on Reconstruction and Feature Tracking of Silicone Heart 3D Surface.

    Ziyan Zhang;Yan Liu;Jiawei Tian;Shan Liu

  • Higher Education Online Courses Personalized Recommendation Algorithm Based on Score and Attributes

    Wenbin Wu;Bixi Wang;Wenfeng Zheng;Yan Liu

  • Recommendation Algorithm of Crowdfunding Platform Based on Collaborative Filtering

    Bixi Wang;Wenbin Wu;Wenfeng Zheng;Yan Liu

Frequent Co-Authors

Bo Yang
Bo Yang University of Jinan
Nina S. N. Lam
Nina S. N. Lam Louisiana State University

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