World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
14697
World Ranking
2628
National Ranking
1304

Heng Ji 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 Heng Ji 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: 333 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Heng Ji 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 Heng Ji 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Heng Ji is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans primarily the field of computer science, with a focus on artificial intelligence, computer vision and pattern recognition, information systems, management science and operations research, and molecular biology.

The scientist has published extensively, with a total of 161 publications in computer science. Within this domain, 115 publications focus on artificial intelligence, 21 on computer vision and pattern recognition, 13 on information systems, 8 on management science and operations research, and another 8 on molecular biology. Their main research topics include topic modeling, natural language processing techniques, multimodal machine learning applications, software engineering research, domain adaptation and few-shot learning, data quality and management, and advanced text analysis techniques.

Heng Ji's recent papers cover a range of topics and venues, including:

  • "A hypochlorite-activated strategy for realizing fluorescence turn-on, type I and type II ROS-combined photodynamic tumor ablation" (2023) published in Biomaterials
  • "Chemical-Reaction-Aware Molecule Representation Learning" (2021) published on arXiv (Cornell University)
  • "Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation" (2020) published on arXiv (Cornell University)
  • "Factuality Challenges in the Era of Large Language Models" (2023) published on arXiv (Cornell University)
  • "Dynamic Global Memory for Document-level Argument Extraction" (2022) published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The scholar frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Biomaterials
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative work is a significant aspect of Heng Ji's research activity. They have worked multiple times with coauthors including Yi R. Fung, Jiawei Han, Manling Li, Revanth Gangi Reddy, and Yangyi Chen.

Best Publications

  • Incremental Joint Extraction of Entity Mentions and Relations

    Qi Li;Heng Ji

  • Joint Event Extraction via Structured Prediction with Global Features

    Qi Li;Heng Ji;Liang Huang

  • Refining Event Extraction through Cross-Document Inference

    Heng Ji;Ralph Grishman

  • Overview of the TAC 2010 Knowledge Base Population Track

    Heng Ji;Heng Ji;Ralph Grishman;Hoa Trang Dang;Kira Griffitt

  • Knowledge Base Population: Successful Approaches and Challenges

    Heng Ji;Ralph Grishman

  • Cross-lingual Name Tagging and Linking for 282 Languages

    Xiaoman Pan;Boliang Zhang;Jonathan May;Joel Nothman

  • A Joint Neural Model for Information Extraction with Global Features.

    Ying Lin;Heng Ji;Fei Huang;Lingfei Wu

  • CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

    Xiang Ren;Zeqiu Wu;Wenqi He;Meng Qu

  • Visual Attention Model for Name Tagging in Multimodal Social Media

    Di Lu;Leonardo Neves;Vitor Carvalho;Ning Zhang

  • A Dependency-Based Neural Network for Relation Classification

    Yang Liu;Furu Wei;Sujian Li;Heng Ji

  • A Language-Independent Neural Network for Event Detection.

    Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

  • Moralization in social networks and the emergence of violence during protests.

    Marlon Mooijman;Joe Hoover;Ying Lin;Heng Ji

  • FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

    Fenglong Ma;Yaliang Li;Qi Li;Minghui Qiu

  • A Survey of Knowledge-Enhanced Text Generation.

    Wenhao Yu;Chenguang Zhu;Zaitang Li;Zhiting Hu

  • Document-Level Event Argument Extraction by Conditional Generation

    Sha Li;Heng Ji;Jiawei Han

  • Text Classification Using Label Names Only: A Language Model Self-Training Approach

    Yu Meng;Yunyi Zhang;Jiaxin Huang;Chenyan Xiong

  • A novel neural topic model and its supervised extension

    Ziqiang Cao;Sujian Li;Yang Liu;Wenjie Li

  • Zero-shot transfer learning for event extraction

    Lifu Huang;Heng Ji;Kyunghyun Cho;Ido Dagan

  • The Age of Social Sensing

    Dong Wang;Boleslaw K. Szymanski;Tarek Abdelzaher;Heng Ji

  • Exploring Context and Content Links in Social Media: A Latent Space Method

    Guo-Jun Qi;C. Aggarwal;Qi Tian;Heng Ji

  • Zero-Shot Transfer Learning for Event Extraction

    Lifu Huang;Heng Ji;Kyunghyun Cho;Clare R. Voss

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Kevin Knight
Kevin Knight University of Southern California
Ralph Grishman
Ralph Grishman New York University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Xiang Ren
Xiang Ren University of Southern California
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Sujian Li
Sujian Li Peking University
Arkaitz Zubiaga
Arkaitz Zubiaga Queen Mary University of London
Dan Roth
Dan Roth University of Pennsylvania

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