Qin Wang

3.4k total citations · 2 hit papers
177 papers, 2.4k citations indexed

About

Qin Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Qin Wang has authored 177 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Artificial Intelligence, 136 papers in Atomic and Molecular Physics, and Optics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Qin Wang's work include Quantum Information and Cryptography (132 papers), Quantum Computing Algorithms and Architecture (90 papers) and Quantum Mechanics and Applications (79 papers). Qin Wang is often cited by papers focused on Quantum Information and Cryptography (132 papers), Quantum Computing Algorithms and Architecture (90 papers) and Quantum Mechanics and Applications (79 papers). Qin Wang collaborates with scholars based in China, Sweden and Chile. Qin Wang's co-authors include Chunhui Zhang, Chun-Mei Zhang, Xiang‐Bin Wang, Guang‐Can Guo, Xingyu Zhou, Luc Van Gool, Dengxin Dai, Olga Fink, Yuan Cao and Jie Zhang and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Qin Wang

152 papers receiving 2.2k citations

Hit Papers

The Evolution of Quantum Key Distribution Networks: On th... 2022 2026 2023 2024 2022 2022 50 100 150 200

Peers

Qin Wang
Comparison fields: 5 of 128
  • Artificial Intelligence 1.7k
  • Atomic and Molecular Physics, and Optics 1.4k
  • Electrical and Electronic Engineering 295
  • Computer Vision and Pattern Recognition 174
  • Materials Chemistry 152
Replace Xiao Yuan with:
Xiao Yuan China
Nicola Pancotti Germany
Yu‐Guang Yang China
Yuan Cao China
Sergio Boixo United States
Xiaoqing Jin China
M. Cerezo United States
Mingsheng Ying China
Yuri Alexeev United States
Xiao Yuan China View profile →
Citations per field, relative to Qin Wang
Qin Wang · 1×
Citations per year, relative to Qin Wang
Qin Wang · 1×

Countries citing papers authored by Qin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Wang. A scholar is included among the top collaborators of Qin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qin Wang. Qin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 1
5 0
6 0
7 1
8 3
9 2
10 11
11 1
12 1
13 0
14 35
15 3
16 12
17 4
18 0
19
Accelerated streak line computation using adaptive refinement
2
20
Seismic properties of polyphase rocks
2

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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