Ming‐Jing Zhao

533 citations
45 papers · 365 indexed · h-index 13
Topics
Quantum Information and Cryptography (44 papers)Quantum Mechanics and Applications (38 papers)Quantum Computing Algorithms and Architecture (31 papers)
Partner nations
ChinaGermanyCanada

In The Last Decade

Ming‐Jing Zhao

42 papers receiving 349 citations

Peers

Ming‐Jing Zhao
Comparison fields: 5 of 30
  • Artificial Intelligence 340
  • Atomic and Molecular Physics, and Optics 337
  • Statistical and Nonlinear Physics 42
  • Computational Theory and Mathematics 6
  • Applied Mathematics 5
Replace Varun Narasimhachar with:
Varun Narasimhachar Canada
Seyed Javad Akhtarshenas Iran
Michał Oszmaniec Poland
Vladimir N. Chernega Russia
Yi-Zhuang Zheng China
Christopher Hadley United Kingdom
Lian-He Shao China
Yaoming Chu China
Christoph Spengler Austria
Ming‐Jing Zhao relative to Varun Narasimhachar Canada Varun Narasimhachar's profile →
Citations per field
00.5×1.5×
Varun Narasimhachar · 1×
Citations per year

Countries citing papers authored by Ming‐Jing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jing Zhao. 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 Ming‐Jing Zhao. The network helps show where Ming‐Jing Zhao may publish in the future.

Co-authorship network of co-authors of Ming‐Jing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jing Zhao. A scholar is included among the top collaborators of Ming‐Jing Zhao 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 Ming‐Jing Zhao. Ming‐Jing Zhao 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
#WorkIndexed citations
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9 28
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11 2
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14 12
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19 26
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About Ming‐Jing Zhao

Ming‐Jing Zhao is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Acoustics and Ultrasonics, having authored 45 papers that have together received 365 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (44 papers), Quantum Mechanics and Applications (38 papers) and Quantum Computing Algorithms and Architecture (31 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (337 citations), Artificial Intelligence (340 citations) and Statistical and Nonlinear Physics (42 citations). Ming‐Jing Zhao has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Shao-Ming Fei, Zhi‐Xi Wang, Teng Ma, Xianqing Li‐Jost, Teng Ma, Gui‐Lu Long, Rajesh Pereira, Zhi‐Xi Wang, Ming Li and Haijun Zhang. Their work appears in journals such as Scientific Reports, Physical Review A and Physics Letters A.

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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