Di Xie

6.5k citations
73 papers · 3.2k indexed · 1 hit paper · h-index 23
Topics
Domain Adaptation and Few-Shot Learning (14 papers)Advanced Neural Network Applications (12 papers)Video Surveillance and Tracking Methods (11 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Di Xie

66 papers receiving 3.2k citations

Hit Papers

MicroRNAs and complex diseases: from experimental results...20172026202020232017100200300400500

Peers

Di Xie
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 1.3k
  • Molecular Biology 946
  • Artificial Intelligence 927
  • Cancer Research 785
  • Biomedical Engineering 517
Replace Wen Li with:
Wen Li China
Zhenkun Wen China
Sheraz Ahmed Germany
Qingyao Wu China
Lingqiao Liu Australia
Hanli Wang China
Rui Tan Singapore
Yonghong Peng United Kingdom
Qian Wang China
Saurav Mallik India
Di Xie relative to Wen Li China Wen Li's profile →
Citations per field
00.5×5.8×
Wen Li · 1×
Citations per year

Countries citing papers authored by Di Xie

Since Specialization
Citations

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

Fields of papers citing papers by Di Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Di Xie. A scholar is included among the top collaborators of Di Xie 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 Di Xie. Di Xie 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
#WorkIndexed citations
1 1
2 10
3 18
4 4
5 0
6 3
7 2
8 8
9 2
10 13
11 25
12 44
13 4
14 250
15 146
16 29
17 231
18 44
19
PIKACHU: how to rebalance load in optimizing mapreduce on heterogeneous clusters
28
20 9

About Di Xie

Di Xie is a scholar working on Computer Vision and Pattern Recognition, Leadership and Management and Biophysics, having authored 73 papers that have together received 3.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (12 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Cancer Research (785 citations) and Human-Computer Interaction (238 citations). Di Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qi Zhao, Xing Chen, Shiliang Pu, Zhu‐Hong You, Qiaoyong Zhong, Chao Li, Yueting Zhuang, Yuanming Hu, Ramana Rao Kompella and Jun Xiao. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Bioinformatics.

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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