Junchen Jiang

5.2k total citations · 5 hit papers
82 papers, 3.4k citations indexed

About

Junchen Jiang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junchen Jiang has authored 82 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 34 papers in Artificial Intelligence and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junchen Jiang's work include Caching and Content Delivery (22 papers), Image and Video Quality Assessment (20 papers) and Network Packet Processing and Optimization (20 papers). Junchen Jiang is often cited by papers focused on Caching and Content Delivery (22 papers), Image and Video Quality Assessment (20 papers) and Network Packet Processing and Optimization (20 papers). Junchen Jiang collaborates with scholars based in United States, China and United Kingdom. Junchen Jiang's co-authors include Vyas Sekar, Hui Zhang, Ion Stoica, Ganesh Ananthanarayanan, Yong Cui, Xin Wang, Shihan Xiao, Siddhartha Sen, Mowei Wang and Peter Bodík and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Junchen Jiang

77 papers receiving 3.3k citations

Hit Papers

Improving fairness, efficiency, and stability in HTTP-bas... 2012 2026 2016 2021 2012 2017 2016 2018 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junchen Jiang United States 26 2.1k 2.0k 995 513 467 82 3.4k
Rocky K. C. Chang Hong Kong 21 814 0.4× 1.6k 0.8× 610 0.6× 857 1.7× 348 0.7× 115 2.2k
Thomas Zinner Germany 23 1.4k 0.6× 2.1k 1.1× 683 0.7× 207 0.4× 877 1.9× 121 3.0k
Mohammad Alizadeh United States 11 873 0.4× 1.2k 0.6× 483 0.5× 322 0.6× 350 0.7× 22 2.1k
Timo D. Hämäläinen Finland 27 1.2k 0.5× 1.6k 0.8× 884 0.9× 382 0.7× 944 2.0× 235 3.4k
Tim Wauters Belgium 27 858 0.4× 1.5k 0.7× 592 0.6× 321 0.6× 364 0.8× 156 2.3k
Yong Cui China 32 703 0.3× 2.9k 1.4× 319 0.3× 578 1.1× 1.4k 3.0× 227 3.9k
Alec Wolman United States 31 1.0k 0.5× 5.0k 2.5× 586 0.6× 1.2k 2.3× 1.7k 3.6× 81 6.5k
Kien A. Hua United States 24 1.0k 0.5× 1.9k 1.0× 510 0.5× 552 1.1× 445 1.0× 177 3.0k
Wojciech Mazurczyk Poland 29 1.3k 0.6× 1.2k 0.6× 1.0k 1.0× 1.5k 3.0× 276 0.6× 182 2.9k
Earlence Fernandes United States 16 341 0.2× 795 0.4× 1.2k 1.2× 1.5k 2.9× 270 0.6× 40 2.5k

Countries citing papers authored by Junchen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Junchen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junchen Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Junchen Jiang. A scholar is included among the top collaborators of Junchen Jiang 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 Junchen Jiang. Junchen Jiang 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, Hanchen, et al.. (2025). CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion. 94–109. 7 indexed citations
2.
Wang, Bowen, Yi‐Ming Cheng, Qing Lan, et al.. (2025). PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. 399–414.
3.
Olsen, Peder A., et al.. (2025). Earth+: On-Board Satellite Imagery Compression Leveraging Historical Earth Observations. 361–376. 2 indexed citations
4.
Liu, Yuhan, Hanchen Li, Yuyang Huang, et al.. (2024). CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. Knowledge@UChicago (University of Chicago). 38–56. 20 indexed citations
5.
Cui, Yong, Jiangchuan Liu, Minlan Yu, et al.. (2024). Network Digital Twin. IEEE Network. 38(1). 5–6. 4 indexed citations
6.
Li, Hanchen, et al.. (2024). Eloquent: A More Robust Transmission Scheme for LLM Token Streaming. Knowledge@UChicago (University of Chicago). 34–40. 1 indexed citations
7.
Li, Shaosong, et al.. (2024). MPC-based motion control of AGV with improved A* and artificial potential field. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 239(4). 1035–1044.
8.
Wang, Ruixin, et al.. (2023). CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query. IEEE/ACM Transactions on Networking. 31(6). 2653–2668. 10 indexed citations
9.
Wang, Chen, et al.. (2023). Towards Optimal Preemptive GPU Time-Sharing for Edge Model Serving. 13–18. 1 indexed citations
10.
Wang, Yiding, Weiyan Wang, Junxue Zhang, Junchen Jiang, & Kai Chen. (2019). Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18 indexed citations
11.
Chowdhery, Aakanksha, et al.. (2018). Reinventing Video Streaming for Distributed Vision Analytics. 22 indexed citations
12.
Jiang, Junchen, et al.. (2018). ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale.. arXiv (Cornell University). 5 indexed citations
13.
Ganjam, Aditya, Junchen Jiang, Xi Liu, et al.. (2018). C3: Internet-Scale Control Plane for Video Quality Optimization. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 45 indexed citations
14.
Jiang, Junchen, Yeali S. Sun, Vyas Sekar, & Hui Zhang. (2017). Pytheas: enabling data-driven quality of experience optimization using group-based exploration-exploitation. Networked Systems Design and Implementation. 393–406. 66 indexed citations
15.
Xu, Yang, et al.. (2014). TFA: A Tunable Finite Automaton for Pattern Matching in Network Intrusion Detection Systems. IEEE Journal on Selected Areas in Communications. 32(10). 1810–1821. 14 indexed citations
16.
Jiang, Junchen, Vyas Sekar, Ion Stoica, & Hui Zhang. (2013). Shedding light on the structure of internet video quality problems in the wild. 357–368. 34 indexed citations
17.
Tang, Yi, Junchen Jiang, & Bin Liu. (2010). Step-FA: Step-Based Compact Finite Automaton for Accelerating Multi-String Matching. 24. 1–2. 1 indexed citations
18.
Jiang, Junchen, Yi Tang, Bin Liu, Yang Xu, & Xiaofei Wang. (2010). Skip Finite Automaton: A Content Scanning Engine to Secure Enterprise Networks. 1–5. 3 indexed citations
19.
Li, Zhichun, Xia Gao, Hongyu Gao, et al.. (2010). NetShield. 279–290. 35 indexed citations
20.
Jiang, Junchen, et al.. (2009). SPC-FA. 163–164. 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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