Min Fu

1.2k citations
37 papers · 825 · h-index 13

Impact in

Papers in

Min Fu

33 papers receiving 803 citations

Peers

Min Fu
Comparison fields: 5 of 75
  • Information Systems 586
  • Computer Networks and Communications 526
  • Artificial Intelligence 304
  • Hardware and Architecture 49
  • Management Science and Operations Research 41
Replace Yuzhe Tang with:
Yuzhe Tang United States
Eli Cortez Brazil
Guoyao Xu China
Zhenhuan Gong United States
John Žic Australia
Haibo Mi China
Kirk Beaty United States
D. Manjula India
Kyong-Ha Lee South Korea
Yingjun Wu China
Min Fu relative to Yuzhe Tang United States Yuzhe Tang's profile →
Citations per field
00.5×3.3×
Yuzhe Tang · 1×
Citations per year

Countries citing papers authored by Min Fu

Since Specialization
Citations

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

Fields of papers citing papers by Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016206
2 201586
3 201572
4
Accelerating restore and garbage collection in deduplication-based backup systems via exploiting historical information
201463
5 201461
6 201561
7 201645
8 201235
9 201531
10 201722
11 202419
12 201619
13 202116
14 202112
15 202211
16 201810
17 20208
18 20168
19 20227
20 20116

About Min Fu

Min Fu is a scholar working on Information Systems, Computer Networks and Communications, Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology, having authored 37 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (14 papers), Cloud Data Security Solutions (14 papers), Caching and Content Delivery (10 papers), Cryptography and Data Security (5 papers), Ferroptosis and cancer prognosis (4 papers), Distributed systems and fault tolerance (2 papers), Brain Metastases and Treatment (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Information Systems (586 citations), Computer Networks and Communications (526 citations), Artificial Intelligence (304 citations), Hardware and Architecture (49 citations) and Management Science and Operations Research (41 citations). Min Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dan Feng, Wen Xia, Yucheng Zhang, Yukun Zhou, Hong Jiang, Yu Hua, Fangting Huang, Zuoning Chen, Philip Shilane and Fred Douglis. Their work appears in journals such as Frontiers in Cell and Developmental Biology, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, Radiation Research and Neuro-Oncology.

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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