Jinming Xu

1.9k citations
44 papers · 1.1k indexed · h-index 15
Topics
Distributed Control Multi-Agent Systems (18 papers)Stochastic Gradient Optimization Techniques (9 papers)Neural Networks Stability and Synchronization (7 papers)

In The Last Decade

Jinming Xu

42 papers receiving 1.1k citations

Peers

Jinming Xu
Comparison fields: 5 of 73
  • Computer Networks and Communications 676
  • Artificial Intelligence 333
  • Electrical and Electronic Engineering 206
  • Computational Mechanics 197
  • Materials Chemistry 121
Replace Tianyi Lin with:
Tianyi Lin United States
Tong Zhang China
Youjian Liu United States
Ion Matei United States
Subir Kumar Sarkar India
Zhili Zhang China
Zhongyuan Zhang China
Hai Wang China
Peter Kleinschmidt Germany
Airlie Chapman United States
Jinming Xu relative to Tianyi Lin United States Tianyi Lin's profile →
Citations per field
00.5×5.2×
Tianyi Lin · 1×
Citations per year

Countries citing papers authored by Jinming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jinming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinming Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinming Xu. A scholar is included among the top collaborators of Jinming 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 Jinming Xu. Jinming 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 1
2 0
3 1
4 7
5 3
6 2
7 2
8 0
9 1
10 1
11 23
12 207
13 58
14
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.
9
15 38
16 38
17 27
18 144
19 195
20 72

About Jinming Xu

Jinming Xu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Condensed Matter Physics, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (18 papers), Stochastic Gradient Optimization Techniques (9 papers) and Neural Networks Stability and Synchronization (7 papers). The work is most often cited by research in Computer Networks and Communications (676 citations), Artificial Intelligence (333 citations) and Computational Mechanics (197 citations). Jinming Xu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yeng Chai Soh, Shanying Zhu, Lihua Xie, Wei Shi, Shi Pu, Angelia Nedić, Mark van Schilfgaarde, German Samolyuk, Zhenghua Chen and Gesualdo Scutari. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics and IEEE Transactions on Automatic Control.

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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