An Wang

38 papers receiving 602 citations

Peers

An Wang
Comparison fields: 5 of 92
  • Pharmacology 239
  • Hardware and Architecture 83
  • Computational Theory and Mathematics 119
  • Artificial Intelligence 138
  • Computer Vision and Pattern Recognition 87
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Andy Davis United States
Haoming Zhang China
Wenxiang Hu China
Masayuki Takeda Japan
Chi-Ming Chen Taiwan
Miao Qiao China
Lirong Chen China
Stefan Brenner Austria
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Wenxuan Wang China
An Wang relative to Andy Davis United States Andy Davis's profile →
Citations per field
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Citations per year

Countries citing papers authored by An Wang

Since Specialization
Citations

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

Fields of papers citing papers by An Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010146
2 201281
3 201579
4 201453
5 202325
6 201321
7 201820
8 201317
9 201917
10 201314
11 201713
12 202212
13 201412
14 201411
15 201510
16 202210
17 20239
18 20149
19 20165
20 20235

About An Wang

An Wang is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 38 papers that have together received 608 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (16 papers), Physical Unclonable Functions (PUFs) and Hardware Security (11 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Malware Detection Techniques (6 papers), Cryptography and Residue Arithmetic (4 papers), Computational Drug Discovery Methods (3 papers), Soil erosion and sediment transport (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Pharmacology (239 citations), Hardware and Architecture (83 citations), Computational Theory and Mathematics (119 citations), Artificial Intelligence (138 citations) and Computer Vision and Pattern Recognition (87 citations). An Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Eric F. Johnson, Üzen Savas, C.D. Stout, C.D. Stout, Qinghai Zhang, Mei‐Hui Hsu, Liji Wu, Naoaki Okazaki, Yong Cui and Matti Siekkinen. Their work appears in journals such as Journal of Biological Chemistry, Science China Information Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Mobile Computing and IEEE Transactions on Circuits & Systems II Express Briefs.

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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