An Wang

912 citations
43 papers · 691 · h-index 13

Impact in

Papers in

An Wang

41 papers receiving 685 citations

Peers

An Wang
Comparison fields: 5 of 95
  • Pharmacology 257
  • Hardware and Architecture 95
  • Computational Theory and Mathematics 115
  • Artificial Intelligence 175
  • Computer Vision and Pattern Recognition 109
Replace Miao Qiao with:
Miao Qiao New Zealand
Andy Davis United States
Haoming Zhang China
Stefan Brenner Austria
Wenxiang Hu China
Wenxuan Wang China
Liqian Chen China
Luděk Matyska Czechia
Hongjian Li Hong Kong
An Wang relative to Miao Qiao New Zealand Miao Qiao's profile →
Citations per field
00.5×2×4×5.7×
Miao Qiao · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010152
2 201293
3 201587
4 201459
5 202336
6 201324
7 201823
8 201319
9 201919
10 201317
11 201415
12 201714
13 201513
14 202212
15 201412
16 202211
17 201411
18 202310
19 20188
20 20236

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 43 papers that have together received 691 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (19 papers), Physical Unclonable Functions (PUFs) and Hardware Security (13 papers), Chaos-based Image/Signal Encryption (8 papers), Advanced Malware Detection Techniques (7 papers), Soil erosion and sediment transport (3 papers), Computational Drug Discovery Methods (3 papers), Coding theory and cryptography (3 papers) and Hydrology and Sediment Transport Processes (3 papers). The work is most often cited by research in Pharmacology (257 citations), Hardware and Architecture (95 citations), Computational Theory and Mathematics (115 citations), Artificial Intelligence (175 citations) and Computer Vision and Pattern Recognition (109 citations). An Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Eric F. Johnson, Üzen Savas, C.D. Stout, Qinghai Zhang, C.D. Stout, Mei‐Hui Hsu, Liji Wu, Naoaki Okazaki, Antti Ylä-Jääski and Yu Xiao. Their work appears in journals such as Journal of Biological Chemistry, Science China Information Sciences, ACM Transactions on Embedded Computing Systems, CATENA and Journal of Environmental Management.

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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