World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7417
World Ranking
8391
National Ranking
1093

Chengqing Zong 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 Chengqing Zong 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: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Chengqing Zong 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 Chengqing Zong 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Chengqing Zong is affiliated with the Chinese Academy of Sciences in China. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. They have contributed extensively to subfields such as Computer Vision and Pattern Recognition, Cognitive Neuroscience, Mechanics of Materials, and Social Psychology.

The scientist's main research topics encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Handwritten Text Recognition Techniques
  • EEG and Brain-Computer Interfaces
  • Sentiment Analysis and Opinion Mining
  • Neurobiology of Language and Bilingualism

Chengqing Zong has published numerous articles, frequently appearing in venues such as arXiv (Cornell University), ACM Transactions on Asian and Low-Resource Language Information Processing, and Proceedings of the AAAI Conference on Artificial Intelligence. They also have publications in Scientific Data and IEEE/ACM Transactions on Audio Speech and Language Processing.

Among recent notable papers are:

  • "Multimodal Summarization with Guidance of Multimodal Reference," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Keywords-Guided Abstractive Sentence Summarization," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Neural machine translation: Challenges, progress and future," 2020, Science China Technological Sciences
  • "Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Transformer: A General Framework from Machine Translation to Others," 2023, Machine Intelligence Research

Their frequent collaborators include researchers such as Jiajun Zhang, Shaonan Wang, Junnan Zhu, Yu Zhou, and Yang Zhao. Collaborations with these individuals span a wide range of projects and publications, reflecting an interdisciplinary approach to their research topics.

Best Publications

  • Ensemble of feature sets and classification algorithms for sentiment classification

    Rui Xia;Chengqing Zong;Shoushan Li

  • Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition

    Chuanhai Dong;Jiajun Zhang;Chengqing Zong;Masanori Hattori

  • Exploiting Source-side Monolingual Data in Neural Machine Translation

    Jiajun Zhang;Chengqing Zong

  • Deep Neural Networks in Machine Translation: An Overview

    Jiajun Zhang;Chengqing Zong

  • Feature ensemble plus sample selection: domain adaptation for sentiment classification

    Rui Xia;Chengqing Zong;Xuelei Hu;Erik Cambria

  • MSMO: Multimodal Summarization with Multimodal Output

    Junnan Zhu;Haoran Li;Tianshang Liu;Yu Zhou

  • Dual Sentiment Analysis: Considering Two Sides of One Review

    Rui Xia;Feng Xu;Chengqing Zong;Qianmu Li

  • A Framework of Feature Selection Methods for Text Categorization

    Shoushan Li;Rui Xia;Chengqing Zong;Chu-Ren Huang

  • Multi-domain Sentiment Classification

    Shoushan Li;Chengqing Zong

  • End-to-End Speech Translation with Knowledge Distillation.

    Yuchen Liu;Hao Xiong;Jiajun Zhang;Zhongjun He

  • Bilingually-constrained Phrase Embeddings for Machine Translation

    Jiajun Zhang;Shujie Liu;Mu Li;Ming Zhou

  • Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora

    Hua Wu;Haifeng Wang;Chengqing Zong

  • Synchronous Bidirectional Neural Machine Translation

    Long Zhou;Jiajun Zhang;Chengqing Zong

  • NCLS: Neural Cross-Lingual Summarization

    Junnan Zhu;Qian Wang;Yining Wang;Yu Zhou

  • Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video

    Haoran Li;Junnan Zhu;Cong Ma;Jiajun Zhang

  • Multimodal Summarization with Guidance of Multimodal Reference

    Junnan Zhu;Yu Zhou;Jiajun Zhang;Haoran Li

  • Multi-modal Sentence Summarization with Modality Attention and Image Filtering

    Haoran Li;Junnan Zhu;Tianshang Liu;Jiajun Zhang

  • Exploring the Use of Word Relation Features for Sentiment Classification

    Rui Xia;Chengqing Zong

  • Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization

    Haoran Li;Junnan Zhu;Jiajun Zhang;Chengqing Zong

  • Towards zero unknown word in neural machine translation

    Xiaoqing Li;Jiajun Zhang;Chengqing Zong

  • Sentiment Analysis and Opinion Mining

    Chengqing Zong;Rui Xia;Jiajun Zhang

Frequent Co-Authors

Shoushan Li
Shoushan Li Soochow University
Bo Xu
Bo Xu Chinese Academy of Sciences
Hua Wu
Hua Wu Baidu (China)
Haifeng Wang
Haifeng Wang Baidu (China)
Ming Zhou
Ming Zhou Langboat Technology
Mu Li
Mu Li Amazon (United States)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Nianwen Xue
Nianwen Xue Brandeis University
Yang Liu
Yang Liu Tsinghua University
Alex Waibel
Alex Waibel Carnegie Mellon University

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