Jibin Zhan

21 papers receiving 1.8k citations

Hit Papers

Understanding the impact of video quality on user engagement200520262012201920112005100200300400

Peers

Jibin Zhan
Comparison fields: 5 of 59
  • Computer Networks and Communications 1.4k
  • Computer Vision and Pattern Recognition 866
  • Signal Processing 418
  • Electrical and Electronic Engineering 355
  • Sociology and Political Science 257
Replace Matteo Varvello with:
Matteo Varvello United States
Alessandro Finamore Italy
Maurizio Matteo Munafò Italy
Dilip Joseph United States
Kenneth L. Calvert United States
Dan Williams United States
Daniel Zappala United States
Niklas Carlsson Sweden
P. Venkat Rangan United States
Wu-chang Feng United States
Jibin Zhan relative to Matteo Varvello United States Matteo Varvello's profile →
Citations per field
00.5×1.5×2.3×
Matteo Varvello · 1×
Citations per year

Countries citing papers authored by Jibin Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Jibin Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jibin Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Jibin Zhan. A scholar is included among the top collaborators of Jibin Zhan 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 Jibin Zhan. Jibin Zhan 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 3
3 4
4 2
5 1
6 45
7 228
8 5
9 103
10 241
11
Understanding the impact of video quality on user engagementbreakdown →
499
12 3
13 1
14
A clean slate 4D approach to network control and managementbreakdown →
457
15
Refactoring Network Control and Management: A Case for the 4D Architecture
11
16 142
17
Network-Wide Decision Making: Toward A Wafer-Thin Control Plane
51
18 14
19 91
20 38

About Jibin Zhan

Jibin Zhan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (11 papers), Peer-to-Peer Network Technologies (8 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Computer Vision and Pattern Recognition (866 citations) and Signal Processing (418 citations). Jibin Zhan has collaborated with scholars based in United States, Canada and Iceland. Frequent co-authors include Hui Zhang, Ion Stoica, Aditya Ganjam, Vyas Sekar, Dilip Joseph, David A. Maltz, Albert Greenberg, Gísli Hjálmtýsson, Geoffrey G. Xie and Jennifer Rexford. Their work appears in journals such as Communications of the ACM, IEEE Journal on Selected Areas in Communications 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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