Huiju Wang

1.7k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Huiju Wang is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huiju Wang has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huiju Wang's work include Cloud Computing and Resource Management (6 papers), Advanced Database Systems and Queries (4 papers) and Data Management and Algorithms (4 papers). Huiju Wang is often cited by papers focused on Cloud Computing and Resource Management (6 papers), Advanced Database Systems and Queries (4 papers) and Data Management and Algorithms (4 papers). Huiju Wang collaborates with scholars based in China, United States and Singapore. Huiju Wang's co-authors include Yue Xiao, Dawei Jin, Wei Jiang, Mingqiang Li, Shan Wang, Xiaoyong Du, Mengxuan Li, Xuan Zhou, Wen‐Dien Chang and Joe‐Air Jiang and has published in prestigious journals such as Journal of Chromatography A, RSC Advances and Talanta.

In The Last Decade

Huiju Wang

24 papers receiving 1.0k citations

Hit Papers

Healthcare Data Gateways: Found Healthcare Intelligence o... 2016 2026 2019 2022 2016 250 500 750

Peers

Huiju Wang
Comparison fields: 5 of 123
  • Information Systems 773
  • Computer Networks and Communications 470
  • Artificial Intelligence 217
  • Management Information Systems 109
  • Computer Vision and Pattern Recognition 78
Replace Ismail Keshta with:
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Shaukat Ali Pakistan
Ahmed Hussein Ali Iraq
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Narayan C. Debnath United States
Mehdi Darbandi Iran
Toqeer Ali Syed Saudi Arabia
Prateek Pandey India
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Citations per field, relative to Huiju Wang
Huiju Wang · 1×
Citations per year, relative to Huiju Wang
Huiju Wang · 1×

Countries citing papers authored by Huiju Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huiju Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiju Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huiju Wang. A scholar is included among the top collaborators of Huiju Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huiju Wang. Huiju Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 12
5 17
6 37
7 8
8 21
9
Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control breakdown →
762
10 18
11 11
12 43
13 25
14 1
15 10
16 7
17 34
18 38
19 2
20
Application of the Combined method of Multivariate Linearity Regression and Grey Model in Forecasting the Water Quality
1

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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