Deyi Xiong

4.7k total citations
180 papers, 2.4k citations indexed

About

Deyi Xiong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Deyi Xiong has authored 180 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Artificial Intelligence, 41 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Deyi Xiong's work include Natural Language Processing Techniques (146 papers), Topic Modeling (144 papers) and Multimodal Machine Learning Applications (33 papers). Deyi Xiong is often cited by papers focused on Natural Language Processing Techniques (146 papers), Topic Modeling (144 papers) and Multimodal Machine Learning Applications (33 papers). Deyi Xiong collaborates with scholars based in China, Singapore and United States. Deyi Xiong's co-authors include Jinsong Su, Qun Liu, Biao Zhang, Min Zhang, Hongkui Yu, Huaping Zhang, Shouxun Lin, Min Zhang, Haizhou Li and Hong Duan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Deyi Xiong

161 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deyi Xiong China 24 2.1k 648 179 147 61 180 2.4k
Chengqing Zong China 30 3.4k 1.6× 894 1.4× 388 2.2× 149 1.0× 99 1.6× 249 3.9k
Jinsong Su China 26 1.7k 0.8× 886 1.4× 145 0.8× 61 0.4× 71 1.2× 153 2.2k
Hao Zhou China 19 1.6k 0.8× 540 0.8× 126 0.7× 72 0.5× 52 0.9× 84 1.9k
Rico Sennrich Switzerland 27 2.7k 1.3× 944 1.5× 224 1.3× 131 0.9× 97 1.6× 109 3.1k
Fei Huang China 30 2.9k 1.4× 684 1.1× 338 1.9× 195 1.3× 76 1.2× 162 3.4k
Marco Turchi Italy 26 2.4k 1.1× 372 0.6× 260 1.5× 126 0.9× 157 2.6× 136 2.8k
Chris Quirk United States 24 2.4k 1.1× 353 0.5× 277 1.5× 256 1.7× 50 0.8× 75 2.7k
Jiajun Zhang China 27 1.9k 0.9× 797 1.2× 105 0.6× 87 0.6× 88 1.4× 172 2.4k
Kevin Duh United States 24 2.1k 1.0× 490 0.8× 216 1.2× 101 0.7× 136 2.2× 148 2.4k
Joseph Turian United States 7 1.7k 0.8× 444 0.7× 181 1.0× 178 1.2× 169 2.8× 11 2.2k

Countries citing papers authored by Deyi Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Deyi Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyi Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Deyi Xiong. A scholar is included among the top collaborators of Deyi Xiong 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 Deyi Xiong. Deyi Xiong 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
2.
Xiong, Deyi, et al.. (2024). Regularizing cross-attention learning for end-to-end speech translation with ASR and MT attention matrices. Expert Systems with Applications. 247. 123241–123241. 1 indexed citations
5.
Xiong, Deyi, et al.. (2024). FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data. 1499–1522. 1 indexed citations
6.
Xiong, Deyi, et al.. (2024). FEDS-ICL: Enhancing translation ability and efficiency of large language model by optimizing demonstration selection. Information Processing & Management. 61(5). 103825–103825. 7 indexed citations
7.
Xiong, Deyi, et al.. (2024). Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18003–18011. 6 indexed citations
8.
Ren, Yuqi, et al.. (2024). Meta-photonics: A bridge between physical association and digital models in photonics. Applied Physics Letters. 124(18). 4 indexed citations
9.
Xiong, Deyi, et al.. (2024). VisTFC: Vision-guided target-side future context learning for neural machine translation. Expert Systems with Applications. 249. 123411–123411. 6 indexed citations
10.
Ren, Yuqi, et al.. (2024). Interdisciplinary analysis and optimization of digital photonic devices for meta-photonics. iScience. 27(6). 109838–109838. 2 indexed citations
11.
Xiong, Deyi, et al.. (2024). Speaker voice normalization for end-to-end speech translation. Expert Systems with Applications. 248. 123317–123317. 1 indexed citations
12.
13.
Chen, Shizhan, et al.. (2021). Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3148–3161. 7 indexed citations
14.
Webber, Bonnie, et al.. (2020). Shallow Discourse Annotation for Chinese TED Talks. Language Resources and Evaluation. 1025–1032. 2 indexed citations
15.
Zhang, Shiqi & Deyi Xiong. (2018). Sentence Weighting for Neural Machine Translation Domain Adaptation. International Conference on Computational Linguistics. 3181–3190. 8 indexed citations
16.
Su, Jinsong, Jiali Zeng, Deyi Xiong, et al.. (2018). A Hierarchy-to-Sequence Attentional Neural Machine Translation Model. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(3). 623–632. 55 indexed citations
17.
Wang, Mingxuan, et al.. (2018). Neural Machine Translation with Decoding History Enhanced Attention. International Conference on Computational Linguistics. 1464–1473. 4 indexed citations
18.
Xiong, Deyi, Yang Ding, Min Zhang, & Chew Lim Tan. (2013). Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation. 1563–1573. 27 indexed citations
19.
Xiong, Deyi, et al.. (2013). Modeling lexical cohesion for document-level machine translation. International Joint Conference on Artificial Intelligence. 2183–2189. 17 indexed citations
20.
Zou, Gang, et al.. (2004). An EBMT system based on word alignment.. IWSLT. 47–49. 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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