Bing Qin

Active 1995–2026

573
Papers
24,200
Citations
59
h-index
239
i10-index

Citations

Citations per year for Bing Qin1967: 5 citations1969: 5 citations1995: 1 citations2003: 2 citations2004: 1 citations2005: 3 citations2006: 4 citations2008: 3 citations2009: 8 citations2010: 17 citations2011: 20 citations2012: 33 citations2013: 38 citations2014: 76 citations2015: 198 citations2016: 390 citations2017: 550 citations2018: 811 citations2019: 1,002 citations2020: 1,194 citations2021: 1,309 citations2022: 1,374 citations2023: 1,755 citations2024: 2,438 citations2025: 2,608 citations2026: 1,074 citations2027: 2 citations1968: no citations, so this year is not shown1970–1994: no citations, so these years are not shown1996–2002: no citations, so these years are not shown2007: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,783 citing papers, 41.5% of this breakdownUnited States: 1,882 citing papers, 13.5% of this breakdownUnited Kingdom: 540 citing papers, 3.9% of this breakdownIndia: 479 citing papers, 3.4% of this breakdownSingapore: 409 citing papers, 2.9% of this breakdownHong Kong: 369 citing papers, 2.7% of this breakdownAustralia: 337 citing papers, 2.4% of this breakdownCanada: 337 citing papers, 2.4% of this breakdownGermany: 313 citing papers, 2.2% of this breakdownSouth Korea: 230 citing papers, 1.7% of this breakdownJapan: 226 citing papers, 1.6% of this breakdownItaly: 207 citing papers, 1.5% of this breakdown
0%41.5%Other 20.3%

Fields

  • Computer Science73.1%
  • Engineering6.1%
  • Medicine4%
  • Biochemistry, Genetics and Molecular Biology3.9%
  • Social Sciences3.5%
  • Psychology2.1%
  • Other7.3%

Topics

  • Topic Modeling15.8%
  • Sentiment Analysis and Opinion Mining8.9%
  • Natural Language Processing Techniques7.6%
  • Advanced Text Analysis Techniques6.2%
  • Text and Document Classification Technologies3.7%
  • Software Engineering Research2.4%
  • Other55.4%

Coauthors

All papers

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  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

    Authors: , , , , , , , , , , - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2024 cited by 1,541

  2. CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    Authors: , , , , , , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2020, EMNLP (Findings) 2020 cited by 2,434

  3. Pre-Training With Whole Word Masking for Chinese BERT

    Authors: , , , , , , - IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE ACM Trans. Audio Speech Lang. Process. 2021 cited by 1,103

  4. SemEval-2016 Task 5: Aspect Based Sentiment Analysis

    Authors: , , , , , , , , , , , , , , , , , - Workshop on Semantic Evaluation (SemEval-2016), SemEval@NAACL-HLT 2016 cited by 1,260

  5. Targeting photodynamic and photothermal therapy to the endoplasmic reticulum enhances immunogenic cancer cell death

    Authors: , , , , , , , , , , , , , , - Nature Communications 2019 cited by 1,115

  6. Revisiting Pre-Trained Models for Chinese Natural Language Processing

    Authors: , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2020, EMNLP (Findings) 2020 cited by 505

  7. HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

    Authors: , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 218

  8. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

    Authors: , , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 180

  9. Is ChatGPT Equipped with Emotional Dialogue Capabilities?

    Authors: , , , , , - arXiv (Cornell University), CoRR 2023 cited by 89

  10. Neutrophil hitchhiking for drug delivery to the bone marrow

    Authors: , , , , , , , , , , , , , , , - Nature Nanotechnology 2023 cited by 168

  11. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

    Authors: , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 cited by 1,535

  12. ER-Targeting PDT Converts Tumors into In Situ Therapeutic Tumor Vaccines

    Authors: , , , , , , , , , , , , - ACS Nano 2022 cited by 150

  13. A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis

    Authors: , , , , - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, ACL/IJCNLP (Findings) 2021 cited by 107

  14. Lactylation-driven FTO targets CDK2 to aggravate microvascular anomalies in diabetic retinopathy

    Authors: , , , , , , , , , , , , , , - EMBO Molecular Medicine 2024 cited by 123

  15. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

    Authors: , , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 cited by 45

  16. The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

    Authors: , , , - arXiv (Cornell University), CoRR 2021 cited by 89

  17. Dual Inhibition of Endoplasmic Reticulum Stress and Oxidation Stress Manipulates the Polarization of Macrophages under Hypoxia to Sensitize Immunotherapy

    Authors: , , , , , , , , , , , , - ACS Nano 2021 cited by 105

  18. Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis

    Authors: , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 cited by 62

  19. Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching

    Authors: , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 34

  20. TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

    Authors: , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 34

  21. Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

    Authors: , , , - Findings of the Association for Computational Linguistics: EMNLP 2023, EMNLP (Findings) 2023 cited by 55

  22. e-CARE: a New Dataset for Exploring Explainable Causal Reasoning

    Authors: , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 47

  23. An Early Evaluation of GPT-4V(ision)

    Authors: , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 34

  24. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Authors: , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2014 cited by 1,170