Ruijin Wang

746 citations
43 papers · 508 indexed · h-index 12
Topics
Quantum Computing Algorithms and Architecture (17 papers)Quantum Information and Cryptography (16 papers)Quantum Mechanics and Applications (15 papers)

In The Last Decade

Ruijin Wang

42 papers receiving 483 citations

Peers

Ruijin Wang
Comparison fields: 5 of 69
  • Artificial Intelligence 320
  • Information Systems 159
  • Atomic and Molecular Physics, and Optics 119
  • Computer Networks and Communications 114
  • Electrical and Electronic Engineering 51
Replace Anderson C. A. Nascimento with:
Anderson C. A. Nascimento Brazil
Kejia Zhang China
Shangwei Guo China
Zebo Yang United States
Julien Siebert Germany
Songnian Zhang Canada
Yin Li China
Lin Jiang China
Lingling Xu China
Ruijin Wang relative to Anderson C. A. Nascimento Brazil Anderson C. A. Nascimento's profile →
Citations per field
00.5×1.6×
Anderson C. A. Nascimento · 1×
Citations per year

Countries citing papers authored by Ruijin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruijin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruijin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruijin Wang. A scholar is included among the top collaborators of Ruijin 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 Ruijin Wang. Ruijin 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
#WorkIndexed citations
1 1
2 29
3 6
4 18
5 2
6 100
7 5
8 3
9 3
10 19
11 5
12 34
13 5
14 4
15 75
16 9
17 2
18 1
19 1
20
Unified Modeling Language and Its Application for Modeling
0

About Ruijin Wang

Ruijin Wang is a scholar working on Artificial Intelligence, Information Systems and Software, having authored 43 papers that have together received 508 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (16 papers) and Quantum Mechanics and Applications (15 papers). The work is most often cited by research in Artificial Intelligence (320 citations), Health Informatics (11 citations) and Information Systems (159 citations). Ruijin Wang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Dongfen Li, Xiong Li, Fengli Zhang, Pandi Vijayakumar, Yue Li, Junqin Huang, Zhiyang Zhang, Marimuthu Karuppiah, Edward Yellakuor Baagyere and Yixin Zhu. Their work appears in journals such as Information Sciences, Neural Networks and Future Generation Computer Systems.

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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