Fengwei Wang

2.1k citations
93 papers · 1.5k · h-index 22

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 44
    • Cryptography and Data Security 40
    • Stochastic Gradient Optimization Techniques 9
    • Adversarial Robustness in Machine Learning 5

Fengwei Wang

82 papers receiving 1.5k citations

Peers

Fengwei Wang
Comparison fields: 5 of 134
  • Artificial Intelligence 620
  • Health Informatics 21
  • Computer Science Applications 57
  • Computational Mathematics 5
  • Cancer Research 105
Replace Shengbo Chen with:
Shengbo Chen China
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Jamie P. McCusker United States
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Fengwei Wang relative to Shengbo Chen China Shengbo Chen's profile →
Citations per field
00.5×1.5×2×2.4×
Shengbo Chen · 1×
Citations per year

Countries citing papers authored by Fengwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fengwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019196
2 2014136
3 2020116
4 202274
5 202063
6 201858
7 202254
8 200152
9 200536
10 201636
11 201834
12 201934
13 202233
14 202329
15 202229
16 202227
17 202126
18 201526
19 202124
20 201724

About Fengwei Wang

Fengwei Wang is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (44 papers), Cryptography and Data Security (40 papers), Stochastic Gradient Optimization Techniques (9 papers), Complexity and Algorithms in Graphs (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Adversarial Robustness in Machine Learning (5 papers), Cloud Data Security Solutions (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (620 citations), Health Informatics (21 citations), Computer Science Applications (57 citations), Computational Mathematics (5 citations) and Cancer Research (105 citations). Fengwei Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hui Zhu, Rongxing Lu, Hui Li, Yandong Zheng, Chi Zhou, Xianrui Wu, Xiaobin Zheng, Zhenxing Liang, Ping Lan and Tuo Hu. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Information Sciences, IEEE Internet of Things Journal, IEEE Transactions on Services Computing and IEEE Transactions on Dependable and Secure Computing.

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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