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.
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
2022657 citationsLibo Wang, Rui Li et al.ISPRS Journal of Photogrammetry and Remote Sensingprofile →
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
2020320 citationsRui Li, Shunyi Zheng et al.Remote Sensingprofile →
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
2022264 citationsLibo Wang, Rui Li et al.IEEE Geoscience and Remote Sensing Lettersprofile →
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery
2021234 citationsRui Li, Shunyi Zheng et al.ISPRS Journal of Photogrammetry and Remote Sensingprofile →
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images
2021206 citationsRui Li, Shunyi Zheng et al.IEEE Geoscience and Remote Sensing Lettersprofile →
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 Chenxi Duan'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 Chenxi Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxi Duan more than expected).
This network shows the impact of papers produced by Chenxi Duan. 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 Chenxi Duan. The network helps show where Chenxi Duan may publish in the future.
Co-authorship network of co-authors of Chenxi Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Chenxi Duan.
A scholar is included among the top collaborators of Chenxi Duan 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 Chenxi Duan. Chenxi Duan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Libo, Rui Li, Ce Zhang, et al.. (2022). UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 190. 196–214.657 indexed citations breakdown →
Li, Rui, Shunyi Zheng, Chenxi Duan, Yang Yang, & Xiqi Wang. (2020). Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network. Remote Sensing. 12(3). 582–582.320 indexed citations breakdown →
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.