Xiaoming Li

2.9k citations
110 papers · 1.9k indexed · 1 hit paper · h-index 22
Topics
Caching and Content Delivery (26 papers)Opportunistic and Delay-Tolerant Networks (15 papers)Peer-to-Peer Network Technologies (11 papers)

In The Last Decade

Xiaoming Li

98 papers receiving 1.9k citations

Hit Papers

Elastic sketch20182026202020232018100200300

Peers

Xiaoming Li
Comparison fields: 5 of 112
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 486
  • Electrical and Electronic Engineering 325
  • Information Systems 269
  • Computer Vision and Pattern Recognition 157
Replace Xiangke Liao with:
Xiangke Liao China
Koji Nakano Japan
Bernhard Scholz Australia
Thomas Johansson Sweden
Qi Zhang China
Cheng Liu China
Daehyun Kim United States
Ömer Eğecioǧlu United States
Canqun Yang China
Xiaoming Li relative to Xiangke Liao China Xiangke Liao's profile →
Citations per field
00.5×1.5×
Xiangke Liao · 1×
Citations per year

Countries citing papers authored by Xiaoming Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Li. A scholar is included among the top collaborators of Xiaoming Li 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 Xiaoming Li. Xiaoming Li 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 0
2 1
3 2
4 8
5 5
6 2
7 0
8 12
9 41
10 2
11 12
12 1
13 5
14 19
15
極端に浅い深さでの2次元Faraday波のパターン遷移【Powered by NICT】
2
16 18
17 1
18
Whole-System Live Migration Mechanism for Virtual Machines
2
19 2
20 1

About Xiaoming Li

Xiaoming Li is a scholar working on Computer Networks and Communications, Hardware and Architecture and Acoustics and Ultrasonics, having authored 110 papers that have together received 1.9k indexed citations. Recurring topics across this work include Caching and Content Delivery (26 papers), Opportunistic and Delay-Tolerant Networks (15 papers) and Peer-to-Peer Network Technologies (11 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Hardware and Architecture (142 citations) and Artificial Intelligence (486 citations). Xiaoming Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tong Yang, Shijun Liao, Junzhi Gong, Jie Jiang, Qun Huang, Steve Uhlig, Yang Zhou, Rui Miao, Peng Liu and Lingyang Song. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and IEEE Communications Magazine.

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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