Di Liu

3.4k total citations
209 papers, 2.2k citations indexed

About

Di Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Di Liu has authored 209 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 40 papers in Computer Networks and Communications. Recurrent topics in Di Liu's work include Advanced Neural Network Applications (33 papers), Real-Time Systems Scheduling (13 papers) and Adversarial Robustness in Machine Learning (12 papers). Di Liu is often cited by papers focused on Advanced Neural Network Applications (33 papers), Real-Time Systems Scheduling (13 papers) and Adversarial Robustness in Machine Learning (12 papers). Di Liu collaborates with scholars based in China, Singapore and United States. Di Liu's co-authors include Eric Vanden‐Eijnden, E Weinan, Mingxiong Zhao, Mansour Edraki, Nan Guan, Weichen Liu, Yongjun Peng, Wentao Li, Todor Stefanov and Fu-Yun Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Di Liu

193 papers receiving 2.1k citations

Peers

Di Liu
Comparison fields: 5 of 154
  • Computer Networks and Communications 565
  • Computer Vision and Pattern Recognition 404
  • Artificial Intelligence 308
  • Electrical and Electronic Engineering 289
  • Information Systems 254
Replace Arslan Munir with:
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Xiao Chen China
Rahul Khanna United States
Miguel A. Vega‐Rodríguez Spain
Kai Hu China
Kai Huang China
Yiming Zhang China
Zhiyong Li China
Peng Li China
Mohamed Abid Tunisia
Arslan Munir United States View profile →
Citations per field, relative to Di Liu
Di Liu · 1×
Citations per year, relative to Di Liu
Di Liu · 1×

Countries citing papers authored by Di Liu

Since Specialization
Citations

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

Fields of papers citing papers by Di Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Liu. A scholar is included among the top collaborators of Di Liu 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 Liu. Di Liu 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
# Work Indexed citations
1 0
2 1
3 10
4 2
5 1
6 1
7 0
8 0
9 2
10 11
11 3
12 8
13 1
14 4
15 110
16 7
17 43
18 31
19
Determination of astragaloside IV in the hairy root cultures of membranous milkvetch (Astragalus membranaceus) by RP-HPLC
1
20
Pterocarpans and Isoflavans from Astragalus membranaceus (Fisch.) Bunge
1

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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