Juncheng Yang

577 citations
27 papers · 325 · h-index 10

Impact in

Papers in

Juncheng Yang

26 papers receiving 321 citations

Peers

Juncheng Yang
Comparison fields: 5 of 41
  • Computer Networks and Communications 203
  • Hardware and Architecture 52
  • Signal Processing 70
  • Information Systems 117
  • Artificial Intelligence 111
Replace Naser Ezzati‐Jivan with:
Naser Ezzati‐Jivan Canada
Shyh-Kwei Chen United States
Liping Peng United States
Susanne Englert United States
Tobias Mühlbauer Germany
Boduo Li United States
Michael L. Heytens United States
Peter Zabback United States
Donghua Yang China
Louis Woods Switzerland
Juncheng Yang relative to Naser Ezzati‐Jivan Canada Naser Ezzati‐Jivan's profile →
Citations per field
00.5×1.5×2.5×
Naser Ezzati‐Jivan · 1×
Citations per year

Countries citing papers authored by Juncheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Juncheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Juncheng Yang, 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 Juncheng Yang Line = papers co-authored together Juncheng Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 202148
3
A large scale analysis of hundreds of in-memory cache clusters at Twitter
202042
4 201831
5 202120
6 201818
7 201615
8 202312
9 201812
10 201710
11 20238
12
Segcache: a memory-efficient and scalable in-memory key-value cache for small objects
20216
13 20235
14 20195
15 20235
16 20215
17 20254
18 20223
19 20243
20 20233

About Juncheng Yang

Juncheng Yang is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 27 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (15 papers), Caching and Content Delivery (9 papers), Cloud Computing and Resource Management (9 papers), Parallel Computing and Optimization Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), Privacy-Preserving Technologies in Data (3 papers), Advanced Database Systems and Queries (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Networks and Communications (203 citations), Hardware and Architecture (52 citations), Signal Processing (70 citations), Information Systems (117 citations) and Artificial Intelligence (111 citations). Juncheng Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include K. V. Rashmi, Jian Pei, Li Xiong, Jinfei Liu, Ýmir Vigfússon, Liu Fan, Sara McAllister, Ada Gavrilovska, Daniel S. Berger and Nathan Beckmann. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Storage, Proceedings of the VLDB Endowment, Electronics and Advances in Mechanical Engineering.

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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