Tong Niu

483 total citations
14 papers, 220 citations indexed

About

Tong Niu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tong Niu has authored 14 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Tong Niu's work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (5 papers). Tong Niu is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (5 papers). Tong Niu collaborates with scholars based in United States, China and United Kingdom. Tong Niu's co-authors include Mohit Bansal, Caiming Xiong, Chien-Sheng Wu, Philippe Laban, Wenhao Liu, Yingbo Zhou, Semih Yavuz, Huan Wang, Nitish Shirish Keskar and Hong Li and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Transactions of the Association for Computational Linguistics and Applied Mechanics and Materials.

In The Last Decade

Tong Niu

14 papers receiving 212 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tong Niu United States 6 199 44 13 12 10 14 220
Naveen Arivazhagan United States 3 214 1.1× 55 1.3× 28 2.2× 8 0.7× 13 1.3× 4 249
Zhenxin Fu China 6 284 1.4× 96 2.2× 18 1.4× 17 1.4× 6 0.6× 14 321
Saloni Potdar United States 7 178 0.9× 38 0.9× 24 1.8× 8 0.7× 5 0.5× 14 209
Yftah Ziser United Kingdom 7 203 1.0× 39 0.9× 10 0.8× 6 0.5× 13 1.3× 15 225
Ringki Das India 5 166 0.8× 43 1.0× 11 0.8× 15 1.3× 9 0.9× 7 209
Alex Marin United States 9 184 0.9× 19 0.4× 24 1.8× 5 0.4× 8 0.8× 20 208
Yiping Song China 8 421 2.1× 73 1.7× 46 3.5× 9 0.8× 9 0.9× 25 445
Xiaoyuan Yi China 9 174 0.9× 73 1.7× 13 1.0× 19 1.6× 4 0.4× 17 214
Jan Buys United Kingdom 6 243 1.2× 75 1.7× 26 2.0× 8 0.7× 6 0.6× 19 265

Countries citing papers authored by Tong Niu

Since Specialization
Citations

This map shows the geographic impact of Tong 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 Tong Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Niu more than expected).

Fields of papers citing papers by Tong Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tong 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 Tong Niu. The network helps show where Tong Niu may publish in the future.

Co-authorship network of co-authors of Tong Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Niu. A scholar is included among the top collaborators of Tong 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 Tong Niu. Tong Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Chen, Xiang, Chien-Sheng Wu, Philippe Laban, et al.. (2023). Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool. ACM Transactions on Computer-Human Interaction. 30(6). 1–27. 4 indexed citations
3.
Wu, Chien-Sheng, et al.. (2022). MixQG: Neural Question Generation with Mixed Answer Types. 1486–1497. 21 indexed citations
4.
Zhang, Hao, et al.. (2022). FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation. 3048–3059. 2 indexed citations
5.
Niu, Tong, Kazuma Hashimoto, Yingbo Zhou, & Caiming Xiong. (2022). OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. Findings of the Association for Computational Linguistics: ACL 2022. 2869–2882. 3 indexed citations
6.
Qing, Linbo, Lindong Li, Yibo Huang, et al.. (2021). Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life research. 3611–3620. 7 indexed citations
7.
Niu, Tong, Semih Yavuz, Yingbo Zhou, et al.. (2021). Unsupervised Paraphrasing with Pretrained Language Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5136–5150. 12 indexed citations
8.
Niu, Tong & Mohit Bansal. (2020). AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8560–8567. 1 indexed citations
9.
Niu, Tong & Mohit Bansal. (2019). Automatically Learning Data Augmentation Policies for Dialogue Tasks. 21 indexed citations
10.
Niu, Tong & Mohit Bansal. (2018). Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. 486–496. 47 indexed citations
11.
Niu, Tong & Mohit Bansal. (2018). Polite Dialogue Generation Without Parallel Data. Transactions of the Association for Computational Linguistics. 6. 373–389. 90 indexed citations
12.
Niu, Tong, et al.. (2018). An Adaptation Method in Noise Mismatch Conditions for DNN-based Speech Enhancement. KSII Transactions on Internet and Information Systems. 12(10). 1 indexed citations
13.
He, Yunhua, et al.. (2017). Poster: Smart-Contract Based Incentive Mechanism for K-Anonymity Privacy Protection in LBSs. 11. 200–201. 5 indexed citations
14.
Wang, Peng, et al.. (2014). Frequency Meter with Equal Precision Based FPGA + MCU. Applied Mechanics and Materials. 614. 308–311. 2 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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