Changjun Hu

799 citations
61 papers · 510 · h-index 10

Impact in

    • Cloud Data Security Solutions
    • Blockchain Technology Applications and Security
    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Security and Verification in Computing

Papers in

Changjun Hu

54 papers receiving 472 citations

Peers

Changjun Hu
Comparison fields: 5 of 73
  • Information Systems 253
  • Artificial Intelligence 244
  • Hardware and Architecture 29
  • Computer Networks and Communications 86
  • Statistical and Nonlinear Physics 42
Replace Shuqiang Yang with:
Shuqiang Yang China
Jacek Kitowski Poland
H. Marten Germany
Koji Nakao Japan
Xie Li China
Torben Weis Germany
Pramode K. Verma United States
Zhaoyun Chen China
Changjun Hu relative to Shuqiang Yang China Shuqiang Yang's profile →
Citations per field
00.5×4.1×
Shuqiang Yang · 1×
Citations per year

Countries citing papers authored by Changjun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Changjun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011219
2 201629
3 201629
4 201119
5 201611
6 201810
7 201610
8 200810
9 201910
10 20179
11 20259
12 20178
13 20098
14 20158
15 20118
16 20237
17 20217
18 20127
19 20216
20 20235

About Changjun Hu

Changjun Hu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Hardware and Architecture and Materials Chemistry, having authored 61 papers that have together received 510 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (9 papers), Semantic Web and Ontologies (6 papers), Service-Oriented Architecture and Web Services (5 papers), Nuclear reactor physics and engineering (5 papers), Nuclear Materials and Properties (5 papers), Advanced Data Storage Technologies (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Information Systems (253 citations), Artificial Intelligence (244 citations), Hardware and Architecture (29 citations), Computer Networks and Communications (86 citations) and Statistical and Nonlinear Physics (42 citations). Changjun Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gail‐Joon Ahn, Stephen S. Yau, Yan Zhu, Hongxin Hu, Ying Hu, Jianjiang Li, Huansheng Ning, Ling‐Feng Mao, Peng Shi and Gaofeng Wang. Their work appears in journals such as Nuclear Engineering and Design, Computer Physics Communications, The International Journal of High Performance Computing Applications, Science China Information Sciences and Scientific Reports.

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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