Manghui Tu

593 citations
37 papers · 395 · h-index 9

Impact in

  • Software top 10%
    • Software Testing and Debugging Techniques
    • Information and Cyber Security
    • Cloud Computing and Resource Management

Papers in

    • Distributed systems and fault tolerance 9
    • Caching and Content Delivery 7
    • Distributed and Parallel Computing Systems 6
    • Advanced Data Storage Technologies 5
    • Peer-to-Peer Network Technologies 4
    • Information and Cyber Security 5

Manghui Tu

35 papers receiving 363 citations

Peers

Manghui Tu
Comparison fields: 5 of 74
  • Software 37
  • Information Systems 215
  • Signal Processing 85
  • Computer Networks and Communications 157
  • Computer Science Applications 31
Replace Atsuo Hazeyama with:
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Susan Mengel United States
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Manghui Tu relative to Atsuo Hazeyama Japan Atsuo Hazeyama's profile →
Citations per field
00.5×2.9×
Atsuo Hazeyama · 1×
Citations per year

Countries citing papers authored by Manghui Tu

Since Specialization
Citations

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

Fields of papers citing papers by Manghui Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manghui Tu, 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 Manghui Tu Line = papers co-authored together Manghui Tu 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 201877
2 201871
3 201271
4 200838
5 201018
6 200513
7 201311
8 20069
9 20208
10
A data management framework for secure and dependable data grid
20068
11 20077
12 20167
13 20126
14 20055
15 20045
16 20155
17 20155
18 20124
19 20203
20 20133

About Manghui Tu

Manghui Tu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Control and Systems Engineering and Signal Processing, having authored 37 papers that have together received 395 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (9 papers), Caching and Content Delivery (7 papers), Distributed and Parallel Computing Systems (6 papers), Information and Cyber Security (5 papers), Advanced Data Storage Technologies (5 papers), Educational Games and Gamification (4 papers), Peer-to-Peer Network Technologies (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Software (37 citations), Information Systems (215 citations), Signal Processing (85 citations), Computer Networks and Communications (157 citations) and Computer Science Applications (31 citations). Manghui Tu has collaborated with scholars based in United States, Taiwan and Malaysia. Frequent co-authors include Jonathan White, Tae-Hoon Kim, Ge Jin, I‐Ling Yen, Dianxiang Xu, Weifeng Xu, Michael Sanford, Latifur Khan, B. Thuraisingham and Farokh Bastani. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Current Alzheimer Research, Knowledge and Information Systems, Electronic Commerce Research and The Lancet.

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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