Cheng Jin

3.7k citations
40 papers · 2.4k indexed · 1 hit paper · h-index 17
Topics
Network Traffic and Congestion Control (12 papers)Caching and Content Delivery (11 papers)Software-Defined Networks and 5G (10 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Cheng Jin

36 papers receiving 2.2k citations

Hit Papers

FAST TCP: Motivation, Architecture, Algorithms, Performance20062026201220192006200400600

Peers

Cheng Jin
Comparison fields: 5 of 68
  • Computer Networks and Communications 2.3k
  • Electrical and Electronic Engineering 597
  • Artificial Intelligence 585
  • Information Systems 279
  • Signal Processing 262
Replace Marina Thottan with:
Marina Thottan United States
Joel Sommers United States
Zheng Zhang China
Wing Cheong Lau Hong Kong
Ramin Sadre Belgium
R. Rastogi United States
George F. Riley United States
Alysson Bessani Portugal
Jacobus Van der Merwe United States
Shay Kutten Israel
Cheng Jin relative to Marina Thottan United States Marina Thottan's profile →
Citations per field
00.5×1.5×2.5×
Marina Thottan · 1×
Citations per year

Countries citing papers authored by Cheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Jin. A scholar is included among the top collaborators of Cheng Jin 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 Cheng Jin. Cheng Jin 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 2
2 0
3 1
4 3
5 1
6 22
7 11
8 3
9 2
10 6
11 16
12
Design of Internet of Things-oriented System and Its Middleware
3
13
A WAN-in-Lab for Protocol Development
2
14 2
15 1
16
FAST TCP for High-Speed Long-Distance Networks
23
17 51
18 345
19 155
20 336

About Cheng Jin

Cheng Jin is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (12 papers), Caching and Content Delivery (11 papers) and Software-Defined Networks and 5G (10 papers). The work is most often cited by research in Computer Networks and Communications (2.3k citations), Hardware and Architecture (216 citations) and Signal Processing (262 citations). Cheng Jin has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Kang G. Shin, Haining Wang, Steven H. Low, David X. Wei, Sugih Jamin, D. Raz, Yuval Shavitt, Le Zhang, Paul Francis and Lixia Zhang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking and Computer Networks.

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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