Chengchen Hu

2.0k total citations · 1 hit paper
105 papers, 1.4k citations indexed

About

Chengchen Hu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Chengchen Hu has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Networks and Communications, 32 papers in Hardware and Architecture and 30 papers in Artificial Intelligence. Recurrent topics in Chengchen Hu's work include Software-Defined Networks and 5G (57 papers), Network Security and Intrusion Detection (31 papers) and Network Packet Processing and Optimization (27 papers). Chengchen Hu is often cited by papers focused on Software-Defined Networks and 5G (57 papers), Network Security and Intrusion Detection (31 papers) and Network Packet Processing and Optimization (27 papers). Chengchen Hu collaborates with scholars based in China, United States and Hong Kong. Chengchen Hu's co-authors include Xitao Wen, Kai Chen, Bin Liu, Hongbin Lu, Yan Chen, Kai Zheng, Hao Li, Theophilus Benson, Yi Wang and Peng Zhang and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Environment International.

In The Last Decade

Chengchen Hu

101 papers receiving 1.3k citations

Hit Papers

Harnessing artificial intelligence in sepsis care: advanc... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chengchen Hu China 19 1.2k 372 304 302 300 105 1.4k
Gianni Antichi United Kingdom 19 1.4k 1.1× 339 0.9× 405 1.3× 351 1.2× 373 1.2× 97 1.5k
Riccardo Sisto Italy 19 681 0.6× 383 1.0× 258 0.8× 202 0.7× 281 0.9× 114 1.1k
Gregorio Procissi Italy 13 585 0.5× 217 0.6× 77 0.3× 164 0.5× 226 0.8× 88 724
Aman Shaikh United States 21 1.3k 1.1× 206 0.6× 156 0.5× 390 1.3× 184 0.6× 46 1.4k
Keon Jang South Korea 17 2.2k 1.8× 257 0.7× 931 3.1× 366 1.2× 630 2.1× 35 2.3k
Marcel Waldvogel Germany 21 2.3k 1.9× 982 2.6× 141 0.5× 295 1.0× 1.4k 4.7× 79 2.6k
Aaron Gember-Jacobson United States 20 1.6k 1.3× 204 0.5× 453 1.5× 417 1.4× 201 0.7× 36 1.7k
D. Becker United States 14 1.4k 1.1× 519 1.4× 371 1.2× 138 0.5× 473 1.6× 25 1.7k

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-authorship network of co-authors of Chengchen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengchen Hu. A scholar is included among the top collaborators of Chengchen Hu 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 Chengchen Hu. Chengchen Hu 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
1.
Li, Fang, Zhi Gao, Ma Qing, et al.. (2025). Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring. Frontiers in Medicine. 11. 1510792–1510792. 19 indexed citations breakdown →
2.
Song, Qian, et al.. (2024). Integrated multi-omics approaches reveal the neurotoxicity of triclocarban in mouse brain. Environment International. 191. 108987–108987. 2 indexed citations
3.
Li, Fang, Bin Zhao, Lei Zhang, et al.. (2024). Therapeutic potential of urine-derived stem cells in renal regeneration following acute kidney injury: A comparative analysis with mesenchymal stem cells. World Journal of Stem Cells. 16(5). 525–537. 6 indexed citations
4.
Hu, Chengchen, et al.. (2023). PROSE: Multi-round fair coflow scheduling without prior knowledge. Computer Communications. 209. 163–177. 2 indexed citations
5.
Zhang, Hongna, Qiong Luo, Chengchen Hu, et al.. (2023). Trimester-specific exposure to triclocarban during pregnancy: Associations with oxidative stress and size at birth. The Science of The Total Environment. 907. 168100–168100. 3 indexed citations
6.
Zhang, Hongna, Katherine Z. Sanidad, Jianan Zhang, et al.. (2022). Microbiota-mediated reactivation of triclosan oxidative metabolites in colon tissues. Journal of Hazardous Materials. 445. 130509–130509. 10 indexed citations
7.
Javaid, Haris, et al.. (2022). Blockchain Machine: A Network-Attached Hardware Accelerator for Hyperledger Fabric. 258–268. 8 indexed citations
8.
Chen, Gang, Peng Zhang, Hao Li, et al.. (2020). A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. IEEE Transactions on Network and Service Management. 17(2). 682–695. 22 indexed citations
9.
Chen, Qi, et al.. (2020). Isolation and Characterization of Human Synovial Fluid-Derived Mesenchymal Stromal Cells from Popliteal Cyst. Stem Cells International. 2020. 1–15. 7 indexed citations
10.
Zhang, Peng, et al.. (2018). FOCES: Detecting Forwarding Anomalies in Software Defined Networks. 830–840. 17 indexed citations
11.
Chen, Yan, Xitao Wen, Bo Yang, et al.. (2018). Optimization Framework for Minimizing Rule Update Latency in SDN Switches. ZTE communications. 16(4). 15–29. 2 indexed citations
12.
Cai, Zhiping, Chengchen Hu, Kai Zheng, Yang Xu, & Qiang Fu. (2018). Network Security and Management in SDN. Security and Communication Networks. 2018. 1–2. 6 indexed citations
13.
Fu, Qiang, Hao Li, Peng Zhang, et al.. (2018). Taming the Wild: A Scalable Anycast-Based CDN Architecture (T-SAC). IEEE Journal on Selected Areas in Communications. 36(12). 2757–2774. 15 indexed citations
14.
Peng, Yanghua, et al.. (2017). deTector: a Topology-aware Monitoring System for Data Center Networks. USENIX Annual Technical Conference. 55–68. 28 indexed citations
15.
Zhang, Peng, et al.. (2016). Stick to the script: Monitoring the policy compliance of SDN data plane. IEEE Conference Proceedings. 2016. 86. 3 indexed citations
16.
Hu, Chengchen, Hao Li, Yuming Jiang, Yu Cheng, & Poul E. Heegaard. (2016). Deep semantics inspection over big network data at wire speed. IEEE Network. 30(1). 18–23. 16 indexed citations
17.
Chen, Kai, Xitao Wen, Xingyu Ma, et al.. (2015). WaveCube: A scalable, fault-tolerant, high-performance optical data center architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1903–1911. 60 indexed citations
18.
Li, Hao, et al.. (2015). Parsing application layer protocol with commodity hardware for SDN. 51–61. 6 indexed citations
19.
Hu, Chengchen, et al.. (2013). Characterizing Pairwise Social Relationships Quantitatively: Interest-Oriented Mobility Modeling for Human Contacts in Delay Tolerant Networks. Journal of Applied Mathematics. 2013. 1–15. 1 indexed citations
20.
Liang, Wei, et al.. (2011). RPIM: Inferring BGP Routing Policies in ISP Networks. 1–6. 1 indexed citations

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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