Chengchen Hu

2.0k citations
106 papers · 1.4k · h-index 19

Impact in

Papers in

Chengchen Hu

101 papers receiving 1.4k citations

Peers

Chengchen Hu
Comparison fields: 5 of 89
  • Computer Networks and Communications 1.2k
  • Hardware and Architecture 303
  • Information Systems 305
  • Artificial Intelligence 375
  • Computational Mathematics 6
Replace Arshad Jhumka with:
Arshad Jhumka United Kingdom
Aman Shaikh United States
Kaustubh Joshi United States
Gianni Antichi United Kingdom
Riccardo Sisto Italy
D. Becker United States
Aaron Gember-Jacobson United States
Lihua Yuan United States
Grigori Fursin France
Chengchen Hu relative to Arshad Jhumka United Kingdom Arshad Jhumka's profile →
Citations per field
00.5×2.6×
Arshad Jhumka · 1×
Citations per year

Countries citing papers authored by Chengchen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Chengchen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chengchen Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chengchen Hu Line = papers co-authored together Chengchen Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013130
2 201196
3 200688
4 201667
5 201866
6 201663
7 201561
8 200446
9 201635
10 201635
11 201030
12
deTector: a Topology-aware Monitoring System for Data Center Networks
201728
13 201226
14 201325
15 202524
16 202022
17 201122
18 201621
19 201420
20 201817

About Chengchen Hu

Chengchen Hu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (57 papers), Network Security and Intrusion Detection (31 papers), Network Packet Processing and Optimization (27 papers), Cloud Computing and Resource Management (21 papers), Internet Traffic Analysis and Secure E-voting (19 papers), Network Traffic and Congestion Control (19 papers), Caching and Content Delivery (16 papers) and Interconnection Networks and Systems (15 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Hardware and Architecture (303 citations), Information Systems (305 citations), Artificial Intelligence (375 citations) and Computational Mathematics (6 citations). Chengchen Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xitao Wen, Kai Chen, Bin Liu, Hongbin Lu, Yan Chen, Kai Zheng, Hao Li, Theophilus Benson, Yi Wang and Peng Zhang. Their work appears in journals such as IEEE/ACM Transactions on Networking, Journal of Network and Computer Applications, IEEE Journal on Selected Areas in Communications, IEEE Network 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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