Tong Xiao

11.9k total citations · 6 hit papers
153 papers, 6.0k citations indexed

About

Tong Xiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Tong Xiao has authored 153 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 9 papers in Cognitive Neuroscience. Recurrent topics in Tong Xiao's work include Natural Language Processing Techniques (67 papers), Topic Modeling (65 papers) and Speech Recognition and Synthesis (19 papers). Tong Xiao is often cited by papers focused on Natural Language Processing Techniques (67 papers), Topic Modeling (65 papers) and Speech Recognition and Synthesis (19 papers). Tong Xiao collaborates with scholars based in China, United States and Hong Kong. Tong Xiao's co-authors include Xiaogang Wang, Wei Li, Rui Zhao, Hongsheng Li, Wanli Ouyang, Liang Lin, Shuang Li, Bochao Wang, Tian Xia and Yi Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Nanotechnology.

In The Last Decade

Tong Xiao

124 papers receiving 5.9k citations

Hit Papers

DeepReID: Deep Filter Pairing Neural Network for Person R... 2014 2026 2018 2022 2014 2016 2017 2015 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tong Xiao China 25 4.4k 1.5k 1.4k 257 219 153 6.0k
Zhang Zhang China 23 2.6k 0.6× 894 0.6× 895 0.7× 173 0.7× 338 1.5× 85 3.9k
Yifan Zhang China 25 4.4k 1.0× 1.9k 1.2× 1.8k 1.3× 80 0.3× 230 1.1× 99 5.7k
Greg Mori Canada 34 3.2k 0.7× 1.6k 1.0× 642 0.5× 147 0.6× 107 0.5× 102 4.0k
Xiaopeng Hong China 35 3.3k 0.7× 1.7k 1.1× 630 0.5× 128 0.5× 139 0.6× 146 4.8k
Xi Li China 39 4.0k 0.9× 1.5k 1.0× 627 0.5× 113 0.4× 336 1.5× 333 6.4k
Ahmad Jalal Pakistan 36 2.6k 0.6× 888 0.6× 645 0.5× 103 0.4× 203 0.9× 115 3.6k
Sergio A. Velastín United Kingdom 34 4.2k 0.9× 1.9k 1.2× 653 0.5× 413 1.6× 405 1.8× 178 5.3k
Yuanjun Xiong Hong Kong 18 5.1k 1.2× 3.2k 2.1× 1.4k 1.1× 70 0.3× 123 0.6× 34 6.7k
Yaowei Wang China 35 3.4k 0.8× 1.6k 1.0× 505 0.4× 153 0.6× 256 1.2× 187 4.7k
Cuiling Lan China 27 4.1k 0.9× 2.0k 1.3× 1.8k 1.3× 115 0.4× 165 0.8× 62 5.1k

Countries citing papers authored by Tong Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Tong Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Xiao. A scholar is included among the top collaborators of Tong Xiao 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 Xiao. Tong Xiao 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.
Liu, Miao, Xiaoliang Dai, Chenguang Zhu, et al.. (2025). Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. 18346–18357.
2.
Hao, Mingwei, Jonghee Yang, Wenjian Yu, et al.. (2025). Nanoscopic cross-grain cation homogenization in perovskite solar cells. Nature Nanotechnology. 20(5). 630–638. 13 indexed citations
3.
Li, Jian, Yu-Chun Wu, Jinpeng Huang, et al.. (2024). pH-responsive and nanoenzyme-loaded artificial nanocells relieved osteomyelitis efficiently by synergistic chemodynamic and cuproptosis therapy. Biomaterials. 313. 122762–122762. 10 indexed citations
4.
Wang, Chenglong, Hang Zhou, Bei Li, et al.. (2024). ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19107–19115. 2 indexed citations
5.
Liu, Yilun, Weibin Meng, Shimin Tao, et al.. (2024). Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation. 464–478. 2 indexed citations
6.
Xiao, Tong, Mingwei Hao, Tianwei Duan, et al.. (2024). Author Correction: Elimination of grain surface concavities for improved perovskite thin-film interfaces. Nature Energy. 9(10). 1321–1321.
7.
Wei, Chenjie, Qingcheng Zhang, Tong Xiao, et al.. (2023). Easily scaled-up and portable 3D polysulfone hollow fiber membrane tree for high-efficient solar-driven clean water production. Solar Energy Materials and Solar Cells. 257. 112340–112340. 11 indexed citations
8.
She, Dunxian, et al.. (2023). The quantitative assessment of impact of pumping capacity and LID on urban flood susceptibility based on machine learning. Journal of Hydrology. 617. 129116–129116. 22 indexed citations
9.
Zhang, Yuhao, Chen Xu, Hao Chen, et al.. (2023). Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. 10753–10765. 2 indexed citations
10.
Xiao, Tong, et al.. (2023). Augmenting Large Language Model Translators via Translation Memories. 10287–10299. 3 indexed citations
11.
Zhang, Yuhao, Xu Chen, Bojie Hu, et al.. (2023). Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13984–13992. 4 indexed citations
12.
Xiao, Tong, et al.. (2021). Topology-Sensitive Neural Architecture Search for Language Modeling. IEEE Access. 9. 107416–107423.
13.
Chen, Xu, Bojie Hu, Yufan Jiang, et al.. (2020). Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. 3977–3989. 14 indexed citations
14.
Jiang, Yufan, et al.. (2019). Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition. 3583–3588. 45 indexed citations
15.
Li, Wei, Rui Zhao, Tong Xiao, & Xiaogang Wang. (2014). DeepReID: Deep Filter Pairing Neural Network for Person Re-identification. 152–159. 1754 indexed citations breakdown →
16.
Xiao, Tong, Adrià de Gispert, Jingbo Zhu, & Bill Byrne. (2014). Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation. Cambridge University Engineering Department Publications Database. 2064–2074. 2 indexed citations
17.
Pino, Juan, et al.. (2013). The University of Cambridge Russian-English System at WMT13. Workshop on Statistical Machine Translation. 200–205. 6 indexed citations
18.
Zhu, Jingbo & Tong Xiao. (2011). Improving Decoding Generalization for Tree-to-String Translation. Meeting of the Association for Computational Linguistics. 418–423. 2 indexed citations
19.
Xiao, Tong, Jingbo Zhu, Muhua Zhu, & Huizhen Wang. (2010). Boosting-Based System Combination for Machine Translation. Meeting of the Association for Computational Linguistics. 739–748. 7 indexed citations
20.
Zhang, Chunliang, Ke Wang, Muhua Zhu, Tong Xiao, & Jingbo Zhu. (2008). NEUOM: Identifying Opinionated Sentences in Chinese and English Text. NTCIR. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026