Shengshi Pang

1.1k total citations
30 papers, 763 citations indexed

About

Shengshi Pang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Shengshi Pang has authored 30 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atomic and Molecular Physics, and Optics, 26 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Shengshi Pang's work include Quantum Information and Cryptography (26 papers), Quantum Mechanics and Applications (23 papers) and Quantum Computing Algorithms and Architecture (16 papers). Shengshi Pang is often cited by papers focused on Quantum Information and Cryptography (26 papers), Quantum Mechanics and Applications (23 papers) and Quantum Computing Algorithms and Architecture (16 papers). Shengshi Pang collaborates with scholars based in China, United States and Australia. Shengshi Pang's co-authors include Todd A. Brun, Andrew N. Jordan, Shengjun Wu, Justin Dressel, Abraham Klein, R. M. Dreizler, Xuanmin Zhu, Quanhui Liu, Yu-Xiang Zhang and Jing Yang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physics Letters B.

In The Last Decade

Shengshi Pang

26 papers receiving 728 citations

Peers

Shengshi Pang
Comparison fields: 5 of 45
  • Atomic and Molecular Physics, and Optics 684
  • Artificial Intelligence 586
  • Statistical and Nonlinear Physics 87
  • Electrical and Electronic Engineering 44
  • Condensed Matter Physics 22
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Urbasi Sinha India
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Malte C. Tichy Denmark
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Citations per field, relative to Shengshi Pang
Shengshi Pang · 1×
Citations per year, relative to Shengshi Pang
Shengshi Pang · 1×

Countries citing papers authored by Shengshi Pang

Since Specialization
Citations

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

Fields of papers citing papers by Shengshi Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengshi Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengshi Pang. A scholar is included among the top collaborators of Shengshi Pang 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 Shengshi Pang. Shengshi Pang 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 4
2 0
3 0
4 2
5 0
6 2
7 2
8 2
9 19
10 28
11 7
12 118
13 34
14 75
15 19
16 77
17
A perspective on measurement with preselection and postselection: from weak measurements to strong measurements
6
18 8
19 4
20 50

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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