Dianhui Chu

1.2k citations
87 papers · 788 · h-index 15

Impact in

Papers in

    • Service-Oriented Architecture and Web Services 19
    • Recommender Systems and Techniques 9
    • Cloud Computing and Resource Management 7
    • Advanced Software Engineering Methodologies 8
    • Text and Document Classification Technologies 6

Dianhui Chu

75 papers receiving 767 citations

Peers

Dianhui Chu
Comparison fields: 5 of 100
  • Information Systems 197
  • Industrial and Manufacturing Engineering 80
  • Computer Vision and Pattern Recognition 157
  • Artificial Intelligence 240
  • Statistical and Nonlinear Physics 92
Replace Gianni Pantaleo with:
Gianni Pantaleo Italy
Koji Zettsu Japan
Daphne Lopez India
Yihua Chen China
Chenguang Wang China
Md. Nasir Sulaiman Malaysia
Chao Qi China
Ravi Kothari India
Dianhui Chu relative to Gianni Pantaleo Italy Gianni Pantaleo's profile →
Citations per field
00.5×2.8×
Gianni Pantaleo · 1×
Citations per year

Countries citing papers authored by Dianhui Chu

Since Specialization
Citations

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

Fields of papers citing papers by Dianhui Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201590
2 202388
3 201753
4 201848
5 201639
6 201636
7 202235
8 202030
9 201430
10 201627
11 202026
12 201924
13 202124
14 201816
15 202014
16 201814
17 202412
18 201912
19 20219
20 20248

About Dianhui Chu

Dianhui Chu is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Information Systems, having authored 87 papers that have together received 788 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (19 papers), Recommender Systems and Techniques (9 papers), Advanced Software Engineering Methodologies (8 papers), Cloud Computing and Resource Management (7 papers), Service and Product Innovation (7 papers), IoT and Edge/Fog Computing (6 papers), Text and Document Classification Technologies (6 papers) and Vehicle Routing Optimization Methods (6 papers). The work is most often cited by research in Information Systems (197 citations), Industrial and Manufacturing Engineering (80 citations), Computer Vision and Pattern Recognition (157 citations), Artificial Intelligence (240 citations) and Statistical and Nonlinear Physics (92 citations). Dianhui Chu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhizhong Liu, Chunshan Li, Xiaofei Yang, Xiao Xue, Baoyun Lu, Guoqing Chao, Taiwen Feng, Yunming Ye, Xiaofei Xu and Zhongjie Wang. Their work appears in journals such as IEEE Access, IEEE Geoscience and Remote Sensing Letters, Service Oriented Computing and Applications, Knowledge-Based Systems and Computers & Operations Research.

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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