Cheng Niu

1.9k total citations
33 papers, 887 citations indexed

About

Cheng Niu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng Niu has authored 33 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng Niu's work include Topic Modeling (20 papers), Natural Language Processing Techniques (18 papers) and Speech and dialogue systems (5 papers). Cheng Niu is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (18 papers) and Speech and dialogue systems (5 papers). Cheng Niu collaborates with scholars based in United States, China and Canada. Cheng Niu's co-authors include Rohini K. Srihari, Jian Hu, Wei Li, Zheng Chen, Hua-Jun Zeng, Hua Li, Wei Li, Ming Zhou, Lee‐Feng Chien and Long Jiang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, PLoS neglected tropical diseases and ACM Transactions on Information Systems.

In The Last Decade

Cheng Niu

31 papers receiving 795 citations

Peers

Cheng Niu
Sergej Sizov Germany
Jochen L. Leidner United Kingdom
David Ahn United States
Fabian Abel Germany
Clare R. Voss United States
Cheng Niu
Citations per year, relative to Cheng Niu Cheng Niu (= 1×) peers Giuseppe Rizzo

Countries citing papers authored by Cheng Niu

Since Specialization
Citations

This map shows the geographic impact of Cheng Niu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cheng Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Niu more than expected).

Fields of papers citing papers by Cheng Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng Niu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cheng Niu. The network helps show where Cheng Niu may publish in the future.

Co-authorship network of co-authors of Cheng Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Niu. A scholar is included among the top collaborators of Cheng Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng Niu. Cheng Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xingguang, et al.. (2024). RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation. 1548–1558. 2 indexed citations
2.
Niu, Cheng, et al.. (2024). Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8724–8741. 1 indexed citations
3.
Niu, Cheng, et al.. (2024). RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10862–10878. 9 indexed citations
4.
Niu, Cheng, et al.. (2024). VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 266–277. 1 indexed citations
5.
Li, Qian, Daling Wang, Shi Feng, Cheng Niu, & Yifei Zhang. (2021). Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6712–6725. 31 indexed citations
6.
He, Keqing, Jinchao Zhang, Yuanmeng Yan, et al.. (2020). Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. 1461–1467. 28 indexed citations
7.
Liu, Zhiqiang, Zuohui Fu, Jie Cao, et al.. (2019). Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. 1992–2001. 17 indexed citations
8.
Li, Hailong, Tianshu Sun, Wei Du, et al.. (2019). Unveil the transcriptional landscape at the Cryptococcus-host axis in mice and nonhuman primates. PLoS neglected tropical diseases. 13(7). e0007566–e0007566. 20 indexed citations
9.
Li, Qian, Hui Su, Cheng Niu, et al.. (2019). Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension. 38–47. 1 indexed citations
10.
Liu, Rui, et al.. (2018). A General Cross-Domain Recommendation Framework via Bayesian Neural Network. 1001–1006. 19 indexed citations
11.
Gao, Wei, Cheng Niu, Jian‐Yun Nie, et al.. (2010). Exploiting query logs for cross-lingual query suggestions. ACM Transactions on Information Systems. 28(2). 1–33. 20 indexed citations
12.
Zhao, Shiqi, Cheng Niu, Ming Zhou, Ting Liu, & Sheng Li. (2008). Combining Multiple Resources to Improve SMT-based Paraphrasing Model. Meeting of the Association for Computational Linguistics. 1021–1029. 49 indexed citations
13.
Jiang, Long, Ming Zhou, Lee‐Feng Chien, & Cheng Niu. (2007). Named entity translation with web mining and transliteration. International Joint Conference on Artificial Intelligence. 1629–1634. 46 indexed citations
14.
Hu, Jian, Hua-Jun Zeng, Hua Li, Cheng Niu, & Zheng Chen. (2007). Demographic prediction based on user's browsing behavior. 151–160. 170 indexed citations
15.
Niu, Cheng, et al.. (2004). Context clustering for Word Sense Disambiguation based on modeling pairwise context similarities. Meeting of the Association for Computational Linguistics. 187–190. 8 indexed citations
16.
Li, Wei, et al.. (2003). An expert lexicon approach to identifying English phrasal verbs. 1. 513–520. 23 indexed citations
17.
Srihari, Rohini K., et al.. (2003). InfoXtract. 8. 51–58. 12 indexed citations
18.
Niu, Cheng, Wei Li, Jihong Ding, & Rohini K. Srihari. (2003). A bootstrapping approach to named entity classification using successive learners. 1. 335–342. 24 indexed citations
19.
Niu, Cheng, Wei Li, Jihong Ding, & Rohini K. Srihari. (2003). Bootstrapping for named entity tagging using concept-based seeds. 2. 73–75. 2 indexed citations
20.
Li, Wei, et al.. (2002). Extracting exact answers to questions based on structural links. 19. 1–9. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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