World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10516
World Ranking
6129
National Ranking
809

Yi Chang 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 Yi Chang 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Yi Chang 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 Yi Chang 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Yi Chang is affiliated with Jilin University in China and focuses primarily on research within the field of Computer Science, with a total of 160 publications. Their work spans various subfields including Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems, and Computer Networks and Communications.

The scientist's research covers a diverse range of topics. Key areas include Topic Modeling, Advanced Graph Neural Networks, Single-cell and Spatial Transcriptomics, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Text and Document Classification Technologies, and Gene Expression and Cancer Classification.

Yi Chang has contributed extensively to the scholarly community with several recent papers. Notable publications include:

  • "A Survey on Evaluation of Large Language Models" (2024) published in ACM Transactions on Intelligent Systems and Technology
  • "GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks" (2022) published in IEEE Transactions on Knowledge and Data Engineering
  • "Learning Signed Network Embedding via Graph Attention" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems" (2021) published in IEEE Transactions on Knowledge and Data Engineering
  • "Information Retrieval meets Large Language Models: A strategic report from Chinese IR community" (2023) published in AI Open

Yi Chang frequently collaborates with a group of recurrent coauthors. Among the most frequent collaborators are Hechang Chen, Huiyan Sun, Xiaofeng Cao, Jiliang Tang, and Yuan Wu.

Significant scholarly dissemination has occurred through prominent publication venues where Yi Chang has maintained a steady output. These venues include:

  • arXiv (Cornell University) with 36 publications
  • IEEE Transactions on Neural Networks and Learning Systems with 9 publications
  • Pattern Recognition with 8 publications
  • IEEE Transactions on Knowledge and Data Engineering with 7 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 7 publications

Yi Chang has also contributed to academic books, including titles published by The "information retrieval series" and Springer Science+Business Media. Among these are "Query Understanding for Search Engines" (2020) and "Information Retrieval" (2023).

Best Publications

  • Abusive Language Detection in Online User Content

    Chikashi Nobata;Joel Tetreault;Achint Thomas;Yashar Mehdad

  • A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

    Zhepei Wei;Jianlin Su;Yue Wang;Yuan Tian

  • Yahoo! Learning to Rank Challenge Overview

    Olivier Chapelle;Yi Chang

  • GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

    Qiang Huang;Makoto Yamada;Yuan Tian;Dinesh Singh

  • Attributed Network Embedding for Learning in a Dynamic Environment

    Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang

  • A Survey of Signed Network Mining in Social Media

    Jiliang Tang;Yi Chang;Charu Aggarwal;Huan Liu

  • Signed network embedding in social media

    Suhang Wang;Jiliang Tang;Charu C. Aggarwal;Yi Chang

  • Time is of the essence: improving recency ranking using Twitter data

    Anlei Dong;Ruiqiang Zhang;Pranam Kolari;Jing Bai

  • Zero-shot User Intent Detection via Capsule Neural Networks

    Congying Xia;Chenwei Zhang;Xiaohui Yan;Yi Chang

  • Towards recency ranking in web search

    Anlei Dong;Yi Chang;Zhaohui Zheng;Gilad Mishne

  • Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

    Bo Wang;Tao Shen;Guodong Long;Tianyi Zhou

  • Mining social media with social theories: a survey

    Jiliang Tang;Yi Chang;Huan Liu

  • Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

    Bo Wang;Tao Shen;Guodong Long;Tianyi Zhou

  • Target-Sensitive Memory Networks for Aspect Sentiment Classification

    Shuai Wang;Sahisnu Mazumder;Bing Liu;Mianwei Zhou

  • Self-paced Ensemble for Highly Imbalanced Massive Data Classification

    Zhining Liu;Wei Cao;Zhifeng Gao;Jiang Bian

  • What is Tumblr: a statistical overview and comparison

    Yi Chang;Lei Tang;Yoshiyuki Inagaki;Yan Liu

  • Streaming Recommender Systems

    Shiyu Chang;Yang Zhang;Jiliang Tang;Dawei Yin

  • Ranking Relevance in Yahoo Search

    Dawei Yin;Yuening Hu;Jiliang Tang;Tim Daly

  • Friend or frenemy?: predicting signed ties in social networks

    Shuang-Hong Yang;Alexander J. Smola;Bo Long;Hongyuan Zha

  • Active Learning for Ranking through Expected Loss Optimization

    Bo Long;Jiang Bian;Olivier Chapelle;Ya Zhang

  • Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

    Snehasis Mukhopadhyay;ChengXiang Zhai;Elisa Bertino;Fabio Crestani

  • Learning to model relatedness for news recommendation

    Yuanhua Lv;Taesup Moon;Pranam Kolari;Zhaohui Zheng

Frequent Co-Authors

Dawei Yin
Dawei Yin Baidu (China)
Jiliang Tang
Jiliang Tang Michigan State University
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Huan Liu
Huan Liu Arizona State University
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Olivier Chapelle
Olivier Chapelle Google (United States)
Xuanhui Wang
Xuanhui Wang Google (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Belle L. Tseng
Belle L. Tseng Apple (United States)

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