Weike Wang

978 citations
46 papers · 701 · h-index 11

Impact in

Papers in

Weike Wang

42 papers receiving 671 citations

Peers

Weike Wang
Comparison fields: 5 of 77
  • Applied Mathematics 284
  • Mathematical Physics 234
  • Computational Mechanics 114
  • Control and Systems Engineering 94
  • Numerical Analysis 21
Replace Hanyu Li with:
Hanyu Li China
T. L. Hayden United States
Mauro Marini Italy
Tudor Zamfirescu Germany
Bipan Hazarika India
Ning Ju United States
Yu Tian China
David C. Lay United States
Eugeniĭ Shustin Israel
Osmo Kaleva Finland
Weike Wang relative to Hanyu Li China Hanyu Li's profile →
Citations per field
00.5×8.7×
Hanyu Li · 1×
Citations per year

Countries citing papers authored by Weike Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weike Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998182
2 2016110
3 200098
4 201864
5 201839
6 200325
7 201523
8 201821
9 202119
10 201916
11 202114
12 20228
13 20167
14 20236
15 20175
16 20075
17 20205
18 20244
19 20154
20 20204

About Weike Wang

Weike Wang is a scholar working on Artificial Intelligence, Signal Processing, Hardware and Architecture, Pharmacology and Computer Networks and Communications, having authored 46 papers that have together received 701 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Security and Verification in Computing (14 papers), Fungal Biology and Applications (7 papers), Cryptographic Implementations and Security (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Phytochemistry and Bioactivity Studies (3 papers). The work is most often cited by research in Applied Mathematics (284 citations), Mathematical Physics (234 citations), Computational Mechanics (114 citations), Control and Systems Engineering (94 citations) and Numerical Analysis (21 citations). Weike Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tai-Ping Liu, Tong Yang, Kenji Nishihara, Fred K. Tabung, Edward L. Giovannucci, Teresa T. Fung, Stephanie A. Smith‐Warner, Charles S. Fuchs, Frank B. Hu and Walter C. Willett. Their work appears in journals such as Journal of Differential Equations, Electronics, IEEE Access, IEEE Communications Letters and JNCI Cancer Spectrum.

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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