Wei Wan

907 citations
57 papers · 619 · h-index 10

Impact in

    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Privacy-Preserving Technologies in Data
    • Text and Document Classification Technologies
    • Adversarial Robustness in Machine Learning
    • Spam and Phishing Detection

Papers in

Wei Wan

47 papers receiving 577 citations

Peers

Wei Wan
Comparison fields: 5 of 84
  • Artificial Intelligence 430
  • Information Systems 97
  • Information Systems and Management 25
  • Statistical and Nonlinear Physics 35
  • Computer Networks and Communications 60
Replace A. O. Bolivar with:
A. O. Bolivar Brazil
William Caelli Australia
Philip Kegelmeyer United States
Liang Hu China
Jae-Gil Lee South Korea
Peter Johnstone United Kingdom
K. Ch. Chatzisavvas Greece
Daniele Regoli Italy
Wei Wan relative to A. O. Bolivar Brazil A. O. Bolivar's profile →
Citations per field
00.5×10×20×26.7×
A. O. Bolivar · 1×
Citations per year

Countries citing papers authored by Wei Wan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012181
2 201688
3 201254
4 202250
5 201629
6 202224
7 201020
8 202118
9 201310
10 20149
11 20168
12 20248
13 20088
14 20168
15 20097
16 20136
17 20186
18 20246
19
AN ANALYSIS METHOD OF NONUNIFORM IONOSPHERIC DISTURBANCES FROM ARRAY OBSERVATION
19965
20 20225

About Wei Wan

Wei Wan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 619 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Adversarial Robustness in Machine Learning (8 papers), Network Security and Intrusion Detection (8 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers), Privacy-Preserving Technologies in Data (6 papers), Quantum optics and atomic interactions (4 papers), Quantum Mechanics and Applications (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Artificial Intelligence (430 citations), Information Systems (97 citations), Information Systems and Management (25 citations), Statistical and Nonlinear Physics (35 citations) and Computer Networks and Communications (60 citations). Wei Wan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hua Xu, Wenhao Zhang, Shengshan Hu, Leo Yu Zhang, Tengjiao Wang, Wei Wang, Xiao Zhang, Wei Chen, Junyu Shi and Mang Feng. Their work appears in journals such as Chinese Physics Letters, Scientific Reports, Physical Review A, Expert Systems with Applications and IEEE Transactions on Information Forensics and Security.

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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