---
title: "Who cites Xiaoqing Zheng"
description: "252 papers of the Elamur Research library cite the works of Xiaoqing Zheng, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xiaoqing-zheng/cited-by/"
---
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# Who cites Xiaoqing Zheng

255 citations of their works from 252 papers of our library (of the 140,884 whose bibliographies we read) · 10 with a page here, the most cited first · [← Xiaoqing Zheng](https://md.research.elamur.ai/free/en/authors/xiaoqing-zheng/)

1. [**Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification**Duyu Tang, Furu Wei, Nan Yang, et al.*2014 · 1,341 citations*](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/)
2. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 481 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
3. [**DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models**Boxin Wang, Weixin Chen, Hengzhi Pei, et al.*2023 · 246 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-decodingtrust-comprehensive-assessment-trustworthiness-gpt/)
4. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
5. [**“I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset**Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.*2022 · 165 citations*](https://md.research.elamur.ai/free/en/papers/smith-2022-i-m-sorry-hear-that/)
6. [**DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments**Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.*2025 · 108 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-deepresearcher-scaling-deep-research-reinforcement/)
7. [**NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation**Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/)
8. [**A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples**Yuxuan Wang, Wanxiang Che, Ivan Titov, et al.*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-closer-look-into-robustness-neural/)
9. [**Addressing the Ecological Fallacy in Larger LMs with Human Context**Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/soni-2026-addressing-ecological-fallacy-larger-lms/)
10. [**Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling Tasks**Elena Alvarez-Mellado, Julio Gonzalo*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mellado-2026-diagnostic-predictive-evaluation-methodology-sequence/)

242 more citing papers of our library have no page here yet.

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