Victor R.L. Shen

69 papers receiving 628 citations

Peers

Victor R.L. Shen
Comparison fields: 5 of 88
  • Artificial Intelligence 238
  • Computer Vision and Pattern Recognition 174
  • Computational Theory and Mathematics 159
  • Computer Networks and Communications 144
  • Information Systems 127
Replace Jonghun Park with:
Jonghun Park South Korea
Don‐Lin Yang Taiwan
P. Victer Paul India
Muhammad Waseem Anwar Pakistan
Yün Peng China
Kutluhan Erol United States
Inmaculada Medina‐Bulo Spain
Roman Barták Czechia
Franco Raimondi United Kingdom
Sebastian Sardiña Australia
Victor R.L. Shen relative to Jonghun Park South Korea Jonghun Park's profile →
Citations per field
00.5×2.6×
Jonghun Park · 1×
Citations per year

Countries citing papers authored by Victor R.L. Shen

Since Specialization
Citations

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

Fields of papers citing papers by Victor R.L. Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor R.L. Shen. 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 Victor R.L. Shen. The network helps show where Victor R.L. Shen may publish in the future.

Co-authorship network of co-authors of Victor R.L. Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Victor R.L. Shen. A scholar is included among the top collaborators of Victor R.L. Shen 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 Victor R.L. Shen. Victor R.L. Shen 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 10
2 0
3 7
4 1
5 14
6 6
7 7
8 5
9 6
10 4
11 3
12 7
13
Intelligent multiagent tutoring system in artificial intelligence
4
14 3
15
Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology
3
16 37
17 12
18
Requirements Specification and Analysis of Digital Systems Using FARHDL
3
19 9
20
Novel Cryptographic Key Assignment Scheme for Dynamic Access Control in a Hierarchy
12

About Victor R.L. Shen

Victor R.L. Shen is a scholar working on Computational Theory and Mathematics, Management Information Systems and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 669 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (18 papers), Business Process Modeling and Analysis (10 papers) and Context-Aware Activity Recognition Systems (7 papers). The work is most often cited by research in Management Information Systems (99 citations), Computational Theory and Mathematics (159 citations) and Computer Vision and Pattern Recognition (174 citations). Victor R.L. Shen has collaborated with scholars based in Taiwan, United States and Austria. Frequent co-authors include Tzer‐Shyong Chen, Cheng‐Ying Yang, Ah‐Fur Lai, Yinan Lin, Feipei Lai, Shyi‐Ming Chen, Yue‐Shan Chang, Yu‐Fang Chung, Li-Wei Lee and Wei‐Cheng Chen. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Internet of Things Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026