Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
2016789 citationsJiatao Gu, Zhengdong Lu et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Zhengdong Lu'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 Zhengdong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengdong Lu more than expected).
This network shows the impact of papers produced by Zhengdong Lu. 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 Zhengdong Lu. The network helps show where Zhengdong Lu may publish in the future.
Co-authorship network of co-authors of Zhengdong Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengdong Lu.
A scholar is included among the top collaborators of Zhengdong Lu 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 Zhengdong Lu. Zhengdong Lu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tu, Zhaopeng, Yang Liu, Zhengdong Lu, Xiaohua Liu, & Hang Li. (2017). Context Gates for Neural Machine Translation. Transactions of the Association for Computational Linguistics. 5. 87–99.66 indexed citations
Shang, Lifeng, Tetsuya Sakai, Zhengdong Lu, et al.. (2016). Overview of the NTCIR-12 Short Text Conversation Task.. NTCIR.15 indexed citations
6.
Gu, Jiatao, Zhengdong Lu, Hang Li, & Victor O. K. Li. (2016). Incorporating Copying Mechanism in Sequence-to-Sequence Learning. 1631–1640.789 indexed citations breakdown →
7.
Yin, Pengcheng, Zhengdong Lu, Hang Li, & Ben Kao. (2015). Neural Enquirer: Learning to Query Tables.. arXiv (Cornell University).12 indexed citations
8.
Wang, Mingxuan, Zhengdong Lu, Hang Li, & Qun Liu. (2015). Syntax-based deep matching of short texts. arXiv (Cornell University). 1354–1361.26 indexed citations
9.
Lu, Zhengdong & Hang Li. (2013). A Deep Architecture for Matching Short Texts. Neural Information Processing Systems. 26. 1367–1375.131 indexed citations
10.
Wang, Weiran, Miguel Á. Carreira-Perpiñán, & Zhengdong Lu. (2011). A Denoising View of Matrix Completion. Neural Information Processing Systems. 24. 334–342.6 indexed citations
Lu, Zhengdong, Cristian Sminchisescu, & Miguel Á. Carreira-Perpiñán. (2007). People Tracking with the Laplacian Eigenmaps Latent Variable Model. Neural Information Processing Systems. 20. 1705–1712.34 indexed citations
16.
Carreira-Perpiñán, Miguel Á. & Zhengdong Lu. (2007). The Laplacian Eigenmaps Latent Variable Model. International Conference on Artificial Intelligence and Statistics. 59–66.38 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.