Wei Ou

559 citations
37 papers · 344 indexed · h-index 10

Impact in

Papers in

Wei Ou

32 papers receiving 327 citations

Peers

Wei Ou
Comparison fields: 5 of 72
  • Information Systems 121
  • Soil Science 36
  • Plant Science 111
  • Computer Networks and Communications 62
  • Ecology 68
Replace Yoshiaki Kasahara with:
Yoshiaki Kasahara Japan
Xinyan Fan China
Myron King United States
Angelina Geetha India
N. Karthikeyan India
David Hansson Sweden
Rohit Sinha India
Nikolaos Antonopoulos Greece
Yaniv Bernstein Australia
Yuanyuan Zhao China
Wei Ou relative to Yoshiaki Kasahara Japan Yoshiaki Kasahara's profile →
Citations per field
00.5×10×17×
Yoshiaki Kasahara · 1×
Citations per year

Countries citing papers authored by Wei Ou

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20242
5 20240
6 20240
7 20240
8 202413
9 20235
10 20228
11 202279
12 20217
13 20191
14 20193
15
Poster: Deciding Weak Monitorability for Runtime Verification
20181
16 20162
17
Research on trustworthy model based on user behavior
20132
18 20139
19
Evolutionary Approaches for Multi-Objective Next Release Problem
201211
20 200567

About Wei Ou

Wei Ou is a scholar working on Health Informatics, Information Systems, Software, Artificial Intelligence and Computer Networks and Communications, having authored 37 papers that have together received 344 indexed citations. Recurring topics across this work include Nematode management and characterization studies (6 papers), Blockchain Technology Applications and Security (5 papers), Network Security and Intrusion Detection (4 papers), Privacy-Preserving Technologies in Data (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Software Engineering Research (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Information Systems (121 citations), Soil Science (36 citations), Plant Science (111 citations), Computer Networks and Communications (62 citations) and Ecology (68 citations). Wei Ou has collaborated with scholars based in China, Japan and Sri Lanka. Frequent co-authors include Qi Li, Yong Jiang, Wenju Liang, Dazhong Wen, Shiying Huang, Guang Zeng, Zhiqiu Huang, Gui‐Peng Yang, Deborah A. Neher and Xinye Cai. Their work appears in journals such as IEEE Access, Information Sciences, Journal of Forestry Research, Population Ecology and Connection Science.

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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