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.
DA-TransUNet: integrating spatial and channel dual attention with transformer U-net for medical image segmentation
202488 citationsYizhi Pan, Zichang Xu et al.Frontiers in Bioengineering and Biotechnologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Le-Minh Nguyen
Since
Specialization
Citations
This map shows the geographic impact of Le-Minh Nguyen'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 Le-Minh Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le-Minh Nguyen more than expected).
This network shows the impact of papers produced by Le-Minh Nguyen. 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 Le-Minh Nguyen. The network helps show where Le-Minh Nguyen may publish in the future.
Co-authorship network of co-authors of Le-Minh Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Le-Minh Nguyen.
A scholar is included among the top collaborators of Le-Minh Nguyen 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 Le-Minh Nguyen. Le-Minh Nguyen 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.
Pan, Yizhi, et al.. (2024). DA-TransUNet: integrating spatial and channel dual attention with transformer U-net for medical image segmentation. Frontiers in Bioengineering and Biotechnology. 12. 1398237–1398237.88 indexed citations breakdown →
Tran, Vu, et al.. (2020). How State-Of-The-Art Models Can Deal With Long-Form Question Answering. Pacific Asia Conference on Language, Information, and Computation. 375–382.1 indexed citations
Tran, Vu, et al.. (2017). Investigating Phrase-Based and Neural-Based Machine Translation on Low-Resource Settings. Waseda University Repository (Waseda University). 384–391.3 indexed citations
12.
Nguyen, Le-Minh, et al.. (2017). Efficient Neural-based patent document segmentation with Term Order Probabilities.. The European Symposium on Artificial Neural Networks.1 indexed citations
13.
Nguyen, Le-Minh, et al.. (2016). Dealing with Out-Of-Vocabulary Problem in Sentence Alignment Using Word Similarity. Waseda University Repository (Waseda University). 259–266.3 indexed citations
14.
Nguyen, Minh-Tien, et al.. (2016). VSoLSCSum: Building a Vietnamese Sentence-Comment Dataset for Social Context Summarization. International Conference on Computational Linguistics. 38–48.7 indexed citations
15.
Nguyen, Le-Minh, et al.. (2013). Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text. JAIST Repository. 2013. 1017–1021.2 indexed citations
16.
Nguyen, Le-Minh, et al.. (2013). JAIST Participation at NTCIR-10 RITE-2. NTCIR.1 indexed citations
17.
Bach, Ngo Xuan, Le-Minh Nguyen, & Akira Shimazu. (2012). A Reranking Model for Discourse Segmentation using Subtree Features. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 160–168.17 indexed citations
18.
Phan, Xuan-Hieu, Le-Minh Nguyen, Yasushi Inoguchi, & Susumu Horiguchi. (2007). High-Performance Training of Conditional Random Fields for Large-Scale Applications of Labeling Sequence Data(Parallel Processing System, Parallel/Distributed Processing and Systems). IEICE Transactions on Information and Systems. 90(1). 13–21.1 indexed citations
19.
Nguyen, Cam-Tu, Trung‐Kien Nguyen, Xuan-Hieu Phan, Le-Minh Nguyen, & Quang-Thuy Ha. (2006). Vietnamese word segmentation with crfs and svms: An investigation.32 indexed citations
20.
Nguyen, Le-Minh, et al.. (2005). Embedding Learning and Reasoning into Structural Performance Assessment. 75.1 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.