Wei Luo

4.8k citations
145 papers · 3.0k · 2 hit papers · h-index 25

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Software top 2%
    • Software Reliability and Analysis Research

Papers in

Wei Luo

127 papers receiving 2.9k citations

Wei Luo's Hit Papers

A Survey of Android Malware Detection with Deep Neural Models 2020 · 204 citations
2040+3+6Years since publication200400600

Peers

Wei Luo
Comparison fields: 5 of 175
  • Health Informatics 150
  • Software 251
  • Signal Processing 522
  • Health Information Management 121
  • Artificial Intelligence 763
Replace John Yearwood with:
John Yearwood Australia
Rubén González Crespo Spain
Randall Wald United States
Dinh Phung Australia
Truyen Tran Australia
Imran Ashraf South Korea
Marko Robnik‐Šikonja Slovenia
José Luis Fernández‐Alemán Spain
Karrar Hameed Abdulkareem Iraq
Suhuai Luo Australia
Wei Luo relative to John Yearwood Australia John Yearwood's profile →
Citations per field
00.5×3.5×
John Yearwood · 1×
Citations per year

Countries citing papers authored by Wei Luo

Since Specialization
Citations

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

Fields of papers citing papers by Wei Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
Hit paper breakdown →
2016695
2
A Survey of Android Malware Detection with Deep Neural Models
Hit paper breakdown →
2020204
3 2004152
4 2018148
5 2019135
6 201792
7 202089
8 201485
9 201984
10 201483
11 201868
12 201967
13 201048
14 202040
15 201439
16 200236
17 201934
18 201434
19 201933
20 201832

About Wei Luo

Wei Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Epidemiology and Economics and Econometrics, having authored 145 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Rough Sets and Fuzzy Logic (8 papers), Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (8 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Graph Neural Networks (6 papers), Remote-Sensing Image Classification (6 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Health Informatics (150 citations), Software (251 citations), Signal Processing (522 citations), Health Information Management (121 citations) and Artificial Intelligence (763 citations). Wei Luo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dinh Phung, Svetha Venkatesh, Truyen Tran, Lei Pan, Yang Xiang, Michael Berk, Diane M. Strong, Jun Zhang, Sunil Gupta and Santu Rana. Their work appears in journals such as IEEE Access, IEEE Geoscience and Remote Sensing Letters, Knowledge-Based Systems, BMJ Open and Journal of Nutrition.

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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