Jinhui Xu

3.6k citations
182 papers · 2.0k indexed · h-index 22
Topics
Computational Geometry and Mesh Generation (35 papers)Privacy-Preserving Technologies in Data (19 papers)Complexity and Algorithms in Graphs (16 papers)

In The Last Decade

Jinhui Xu

172 papers receiving 2.0k citations

Peers

Jinhui Xu
Comparison fields: 5 of 160
  • Artificial Intelligence 439
  • Molecular Biology 388
  • Computer Networks and Communications 346
  • Computer Science Applications 305
  • Electrical and Electronic Engineering 289
Replace Li Yu with:
Li Yu China
Sanguthevar Rajasekaran United States
Xiaohui Hu China
Zitao Liu China
Jing Liu China
Jun Feng China
Markus Schneider United States
Cuiping Li China
Chengjie Wang China
Zongda Wu China
Jinhui Xu relative to Li Yu China Li Yu's profile →
Citations per field
00.5×11.1×
Li Yu · 1×
Citations per year

Countries citing papers authored by Jinhui Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jinhui Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhui Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhui Xu. A scholar is included among the top collaborators of Jinhui Xu 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 Jinhui Xu. Jinhui Xu 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 12
2 2
3 1
4 1
5 1
6 2
7 3
8
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
15
9 66
10 12
11
Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation.
3
12
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
16
13 5
14 35
15 0
16 1
17 3
18 6
19 11
20
An efficient direct approach for computing shortest rectilinear paths among obstacles in a two-layer interconnection model.
1

About Jinhui Xu

Jinhui Xu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 182 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (35 papers), Privacy-Preserving Technologies in Data (19 papers) and Complexity and Algorithms in Graphs (16 papers). The work is most often cited by research in Computer Science Applications (305 citations), Computer Graphics and Computer-Aided Design (117 citations) and Computer Networks and Communications (346 citations). Jinhui Xu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ronald Berezney, Lü Su, Di Wang, Klara Nahrstedt, Danyang Chen, Haiming Jin, Lopamudra Mukherjee, Chunming Qiao, Hu Ding and Guang Xu. Their work appears in journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Information Theory.

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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