Yunlong Wang

5.4k citations
180 papers · 3.3k indexed · 3 hit papers · h-index 23

Impact in

Papers in

Yunlong Wang

160 papers receiving 3.2k citations

Hit Papers

Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV 2020 · 507 citations
5072004202620112018200400600

Peers

Yunlong Wang
Comparison fields: 5 of 181
  • Signal Processing 925
  • Computer Vision and Pattern Recognition 1.1k
  • Pharmaceutical Science 152
  • Acoustics and Ultrasonics 19
  • Infectious Diseases 370
Replace Anubha Gupta with:
Anubha Gupta India
Xiaotong Shen United States
Wenyi Zhao China
Frans Coenen United Kingdom
Shuhui Wang China
Jiajun Liu China
Y-H. Chen Taiwan
Yuqing Gao China
Hai‐Tao Zhang China
Yunlong Wang relative to Anubha Gupta India Anubha Gupta's profile →
Citations per field
00.5×9.5×
Anubha Gupta · 1×
Citations per year

Countries citing papers authored by Yunlong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20241
4 20240
5 20242
6 20240
7 20241
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9 20242
10 20240
11 20231
12 20232
13 20237
14 202220
15 20226
16 202125
17 202118
18 2020121
19 202032
20 2018135

About Yunlong Wang

Yunlong Wang is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Media Technology, having authored 180 papers that have together received 3.3k indexed citations. Recurring topics across this work include Biometric Identification and Security (23 papers), Face recognition and analysis (13 papers), Quantum Information and Cryptography (11 papers), Advanced Vision and Imaging (10 papers), Quantum Computing Algorithms and Architecture (9 papers), Forensic and Genetic Research (8 papers), Distributed Sensor Networks and Detection Algorithms (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Signal Processing (925 citations), Computer Vision and Pattern Recognition (1.1k citations), Pharmaceutical Science (152 citations), Acoustics and Ultrasonics (19 citations) and Infectious Diseases (370 citations). Yunlong Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tieniu Tan, Longyu Ma, David Zhang, Zhenan Sun, Xiangqian Guo, Tieshan Teng, Longxiang Xie, Jiabao Xu, Abualgasim Elgaili Abdalla and Wan Zhu. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing, Scientific Reports, Optics Express and IEEE Transactions on Biometrics Behavior and Identity Science.

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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