World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10025
World Ranking
7475
National Ranking
985

Junjie Wu 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 Junjie Wu 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: 154 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Junjie Wu 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 Junjie Wu 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Junjie Wu is affiliated with Beihang University in China and has an extensive publication record primarily within the field of Computer Science. Their research output includes 112 publications, with a notable focus on Artificial Intelligence, which accounts for 72 of their works. Other subfields of study include Molecular Biology, Information Systems, Computer Vision and Pattern Recognition, and Sociology and Political Science.

The scientist's work covers a range of topics, emphasizing applications and methodologies such as:

  • Topic Modeling
  • Text and Document Classification Technologies
  • Recommender Systems and Techniques
  • Natural Language Processing Techniques
  • Human Mobility and Location-Based Analysis
  • Sentiment Analysis and Opinion Mining
  • Privacy-Preserving Technologies in Data

Junjie Wu's recent publications include several papers recognized across various journals and conferences:

  • Three-dimensional flexible electronics using solidified liquid metal with regulated plasticity (2023, Nature Electronics)
  • Fake news propagates differently from real news even at early stages of spreading (2020, EPJ Data Science)
  • RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images (2022, Remote Sensing)
  • Deep Fuzzy Cognitive Maps for Interpretable Multivariate Time Series Prediction (2020, IEEE Transactions on Fuzzy Systems)
  • The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning (2020, International Journal of Forecasting)

The frequent co-authors collaborating with Junjie Wu include:

  • Guannan Liu
  • Yuan Zuo
  • Hao Lin
  • Jingyuan Wang
  • Zhiang Wu

In terms of publication venues, Junjie Wu has contributed significantly to several outlets, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • SSRN Electronic Journal
  • Atmosphere
  • INFORMS Journal on Computing

Best Publications

  • Understanding of Internal Clustering Validation Measures

    Yanchi Liu;Zhongmou Li;Hui Xiong;Xuedong Gao

  • Clustering algorithm for intuitionistic fuzzy sets

    Zeshui Xu;Jian Chen;Junjie Wu

  • K-Means Clustering Versus Validation Measures: A Data-Distribution Perspective

    Hui Xiong;Junjie Wu;Jian Chen

  • Understanding and Enhancement of Internal Clustering Validation Measures

    Yanchi Liu;Zhongmou Li;Hui Xiong;Xuedong Gao

  • MoodLens: an emoticon-based sentiment analysis system for chinese tweets

    Jichang Zhao;Li Dong;Junjie Wu;Ke Xu

  • Advances in K-means Clustering

    Junjie Wu

  • Adapting the right measures for K-means clustering

    Junjie Wu;Hui Xiong;Jian Chen

  • Embedding Temporal Network via Neighborhood Formation

    Yuan Zuo;Guannan Liu;Hao Lin;Jia Guo

  • Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method

    Jingyuan Wang;Qian Gu;Junjie Wu;Guannan Liu

  • K-Means-Based Consensus Clustering: A Unified View

    Junjie Wu;Hongfu Liu;Hui Xiong;Jie Cao

  • Advances in K-means Clustering: A Data Mining Thinking

    Junjie Wu

  • Intuitionistic fuzzy C-means clustering algorithms

    Zeshui Xu;Junjie Wu

  • Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence

    Hongfu Liu;Junjie Wu;Tongliang Liu;Dacheng Tao

  • Disconfirmation Effect on Online Rating Behavior: A Structural Model

    Yi-Chun Chad Ho;Junjie Wu;Yong Tan

  • Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

    Jingyuan Wang;Ze Wang;Jianfeng Li;Junjie Wu

  • Topic Modeling of Short Texts: A Pseudo-Document View

    Yuan Zuo;Junjie Wu;Hui Zhang;Hao Lin

  • Weak ties: Subtle role of information diffusion in online social networks

    Jichang Zhao;Junjie Wu;Ke Xu

  • HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation

    Zhiang Wu;Junjie Wu;Jie Cao;Dacheng Tao

  • Fake news propagates differently from real news even at early stages of spreading

    Zilong Zhao;Jichang Zhao;Yukie Sano;Orr Levy

  • Spectral Ensemble Clustering

    Hongfu Liu;Tongliang Liu;Junjie Wu;Dacheng Tao

  • hPSD: A Hybrid PU-Learning-Based Spammer Detection Model for Product Reviews

    Zhiang Wu;Jie Cao;Yaqiong Wang;Youquan Wang

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Hao Lin
Hao Lin University of Electronic Science and Technology of China
Ke Xu
Ke Xu Beihang University
Jian Chen
Jian Chen The Ohio State University
Hui Zhang
Hui Zhang Carnegie Mellon University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Guoqing Chen
Guoqing Chen Tsinghua University
Yun Fu
Yun Fu Northeastern University
Shlomo Havlin
Shlomo Havlin Bar-Ilan University
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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