Yu Hua

5.3k citations
238 papers · 4.2k · h-index 33

Impact in

Papers in

Yu Hua

226 papers receiving 4.1k citations

Peers

Yu Hua
Comparison fields: 5 of 125
  • Computer Networks and Communications 1.8k
  • Hardware and Architecture 485
  • Polymers and Plastics 852
  • Information Systems 1.1k
  • Biomedical Engineering 1.4k
Replace Min Cai with:
Min Cai China
Zhikui Wang United States
Mingsong Chen China
Mahmoud Al‐Qutayri United Arab Emirates
Kanad Ghose United States
Liang Liu China
Qinru Qiu United States
Qing Wu United States
Diana Marculescu United States
Kyong-Ho Lee South Korea
Yu Hua relative to Min Cai China Min Cai's profile →
Citations per field
00.5×5.8×
Min Cai · 1×
Citations per year

Countries citing papers authored by Yu Hua

Since Specialization
Citations

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

Fields of papers citing papers by Yu Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018272
2 2016229
3 2018221
4 2014163
5
SiLo: a similarity-locality based near-exact deduplication scheme with low RAM overhead and high throughput
2011160
6 2017140
7 2017137
8 201591
9 202091
10 202084
11 202375
12 201974
13
Accelerating restore and garbage collection in deduplication-based backup systems via exploiting historical information
201471
14 201868
15
FastCDC: a fast and efficient content-defined chunking approach for data deduplication
201656
16 201152
17 201450
18 201849
19 202149
20 202149

About Yu Hua

Yu Hua is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 238 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (95 papers), Caching and Content Delivery (83 papers), Parallel Computing and Optimization Techniques (46 papers), Cloud Computing and Resource Management (29 papers), Advanced Sensor and Energy Harvesting Materials (26 papers), Advanced Memory and Neural Computing (23 papers), Interconnection Networks and Systems (20 papers) and Advanced Image and Video Retrieval Techniques (19 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Hardware and Architecture (485 citations), Polymers and Plastics (852 citations), Information Systems (1.1k citations) and Biomedical Engineering (1.4k citations). Yu Hua has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dan Feng, Hong Jiang, Wen Xia, Pengfei Zuo, Zhong Lin Wang, Wenbo Ding, Xue Liu, Bin Xiao, Yucheng Zhang and Min Fu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Nano Energy, IEEE Transactions on Computers, ACM Transactions on Storage and Advanced Energy Materials.

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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