Xinchi Chen

1.3k total citations
12 papers, 508 citations indexed

About

Xinchi Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xinchi Chen has authored 12 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Xinchi Chen's work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (4 papers). Xinchi Chen is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Multimodal Machine Learning Applications (4 papers). Xinchi Chen collaborates with scholars based in China, United Kingdom and Netherlands. Xinchi Chen's co-authors include Xipeng Qiu, Xuanjing Huang, Chenxi Zhu, Pengfei Liu, Jingjing Gong, Conghui Zhu, Chaoqun Duan, Furu Wei, Tiejun Zhao and Tao Gui and has published in prestigious journals such as UvA-DARE (University of Amsterdam) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Xinchi Chen

12 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinchi Chen China 10 453 106 38 33 21 12 508
Pengda Qin China 9 370 0.8× 94 0.9× 41 1.1× 17 0.5× 14 0.7× 14 455
Lemao Liu China 15 721 1.6× 291 2.7× 48 1.3× 20 0.6× 25 1.2× 65 772
Ziyue Qiao China 8 173 0.4× 46 0.4× 39 1.0× 15 0.5× 29 1.4× 24 246
Jin-Ge Yao China 12 398 0.9× 211 2.0× 42 1.1× 11 0.3× 21 1.0× 24 564
Roldano Cattoni Italy 13 585 1.3× 156 1.5× 31 0.8× 34 1.0× 16 0.8× 39 676
Minwei Feng Germany 8 431 1.0× 124 1.2× 101 2.7× 19 0.6× 14 0.7× 13 484
Eli Lifland United States 4 326 0.7× 38 0.4× 48 1.3× 83 2.5× 6 0.3× 4 374
Wenhan Xiong United States 10 515 1.1× 108 1.0× 58 1.5× 25 0.8× 13 0.6× 22 564

Countries citing papers authored by Xinchi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xinchi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinchi Chen

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

All Works

12 of 12 papers shown
1.
Chen, Xinchi, et al.. (2019). Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. UvA-DARE (University of Amsterdam). 5414–5424. 14 indexed citations
2.
Gong, Jingjing, Xinchi Chen, Tao Gui, & Xipeng Qiu. (2019). Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6457–6464. 22 indexed citations
3.
Gong, Jingjing, Xipeng Qiu, Xinchi Chen, D. Liang, & Xuanjing Huang. (2018). Convolutional Interaction Network for Natural Language Inference. 1576–1585. 9 indexed citations
4.
Duan, Chaoqun, Lei Cui, Xinchi Chen, et al.. (2018). Attention-Fused Deep Matching Network for Natural Language Inference. 4033–4040. 35 indexed citations
5.
Chen, Xinchi, et al.. (2018). Toward Diverse Text Generation with Inverse Reinforcement Learning. 4361–4367. 43 indexed citations
6.
Chen, Xinchi, Xipeng Qiu, & Xuanjing Huang. (2017). A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging. 3960–3966. 13 indexed citations
7.
Chen, Xinchi, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, & Xuanjing Huang. (2015). Long Short-Term Memory Neural Networks for Chinese Word Segmentation. 1197–1206. 152 indexed citations
8.
Liu, Pengfei, et al.. (2015). Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents. 2326–2335. 103 indexed citations
9.
Chen, Xinchi, Yaqian Zhou, Chenxi Zhu, Xipeng Qiu, & Xuanjing Huang. (2015). Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks. 1879–1889. 4 indexed citations
10.
Chen, Xinchi, et al.. (2015). Sentence Modeling with Gated Recursive Neural Network. 793–798. 22 indexed citations
11.
Chen, Xinchi, Xipeng Qiu, Chenxi Zhu, & Xuanjing Huang. (2015). Gated Recursive Neural Network for Chinese Word Segmentation. 1744–1753. 68 indexed citations
12.
Zhu, Chenxi, Xipeng Qiu, Xinchi Chen, & Xuanjing Huang. (2015). A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network. 1159–1168. 23 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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