Haibing Guan

6.4k citations
290 papers · 4.4k indexed · 2 hit papers · h-index 32

Impact in

Papers in

Haibing Guan

270 papers receiving 4.2k citations

Hit Papers

FedALA: Adaptive Local Aggregation for Personalized Federated Learning 2023 · 165 citations
1652013202620172021100200300400

Peers

Haibing Guan
Comparison fields: 5 of 108
  • Hardware and Architecture 870
  • Computer Networks and Communications 2.7k
  • Information Systems 2.3k
  • Signal Processing 418
  • Computer Vision and Pattern Recognition 788
Replace Renfa Li with:
Renfa Li China
Junlong Zhou China
Justin Ma United States
Deborah A. Wallach United States
Pei Cao United States
Kurt Rothermel Germany
Jinshu Su China
Salim Hariri United States
Buğra Gedik United States
Tongquan Wei China
Haibing Guan relative to Renfa Li China Renfa Li's profile →
Citations per field
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Renfa Li · 1×
Citations per year

Countries citing papers authored by Haibing Guan

Since Specialization
Citations

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

Fields of papers citing papers by Haibing Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20242
5 20241
6 20243
7 20242
8 20230
9 20233
10 20230
11 202218
12 20227
13 20227
14
Platinum: A CPU-Efficient Concurrent Garbage Collector for Tail-Reduction of Interactive Services
20203
15 201919
16 20194
17 201814
18 201747
19 20138
20
Intermediate Representation in Dynamic Binary Translation
20091

About Haibing Guan

Haibing Guan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 290 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (122 papers), Parallel Computing and Optimization Techniques (80 papers), Advanced Data Storage Technologies (48 papers), Software-Defined Networks and 5G (38 papers), Security and Verification in Computing (38 papers), IoT and Edge/Fog Computing (31 papers), Distributed and Parallel Computing Systems (31 papers) and Cloud Data Security Solutions (22 papers). The work is most often cited by research in Hardware and Architecture (870 citations), Computer Networks and Communications (2.7k citations), Information Systems (2.3k citations), Signal Processing (418 citations) and Computer Vision and Pattern Recognition (788 citations). Haibing Guan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhengwei Qi, Ruhui Ma, Haibo Chen, Jianguo Yao, Binyu Zang, Yongqiang Gao, Yang Hou, Liang Liu, Yaozu Dong and Tao Song. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Systems Architecture, IEEE Transactions on Computers, ACM SIGPLAN Notices and IEEE Transactions on Cloud Computing.

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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