Lusheng Ji

39 papers receiving 2.8k citations

Hit Papers

Network function virtualization: Challenges and opportuni...201520262018202220152016250500750

Peers

Lusheng Ji
Comparison fields: 5 of 72
  • Computer Networks and Communications 2.4k
  • Electrical and Electronic Engineering 1.2k
  • Computer Vision and Pattern Recognition 583
  • Artificial Intelligence 302
  • Signal Processing 289
Replace Jeffrey Pang with:
Jeffrey Pang United States
N.F. Maxemchuk United States
Kien A. Hua United States
Suman Banerjee United States
Panos K. Chrysanthis United States
Anand Iyer United States
Rittwik Jana United States
Yuchung Cheng United States
Liam Murphy Ireland
Pedro Casas Austria
Lusheng Ji relative to Jeffrey Pang United States Jeffrey Pang's profile →
Citations per field
00.5×3.7×
Jeffrey Pang · 1×
Citations per year

Countries citing papers authored by Lusheng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lusheng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lusheng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Lusheng Ji. A scholar is included among the top collaborators of Lusheng Ji 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 Lusheng Ji. Lusheng Ji 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 11
2 112
3 21
4
Optimizing 360 video delivery over cellular networksbreakdown →
312
5 51
6 96
7 36
8 72
9 9
10 163
11 173
12 72
13 7
14
Locating prefix hijackers using LOCK
20
15
LOCK: Locating Countermeasure-Capable Prefix Hijackers
1
16 20
17 95
18 9
19 4
20
Differential Destination Multicast (DDM) Specification
4

About Lusheng Ji

Lusheng Ji is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Transportation, having authored 40 papers that have together received 3.0k indexed citations. Recurring topics across this work include Caching and Content Delivery (13 papers), Wireless Networks and Protocols (12 papers) and Green IT and Sustainability (12 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Computer Vision and Pattern Recognition (583 citations) and Signal Processing (289 citations). Lusheng Ji has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Vijay Gopalakrishnan, Bo Han, Seungjoon Lee, Alex X. Liu, Muhammad Shafiq, Jia Wang, M. Scott Corson, Jeffrey Pang, Feng Qian and Bo Han. Their work appears in journals such as IEEE Communications Magazine, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.

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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