Junqing Sun

1.8k citations
44 papers · 848 · h-index 17

Impact in

Papers in

Junqing Sun

43 papers receiving 810 citations

Peers

Junqing Sun
Comparison fields: 5 of 109
  • Hardware and Architecture 113
  • Cellular and Molecular Neuroscience 231
  • Biophysics 62
  • Biological Psychiatry 24
  • Virology 23
Replace Junko Takahashi with:
Junko Takahashi Japan
Madhavi K. Ganapathiraju United States
Weimin Zheng China
Sevinç Bayram United States
Andrew Kennedy United States
Qi Guo China
Krishnan Padmanabhan United States
A. Ghetti Italy
Gary Liu United States
Junqing Sun relative to Junko Takahashi Japan Junko Takahashi's profile →
Citations per field
00.5×10.3×
Junko Takahashi · 1×
Citations per year

Countries citing papers authored by Junqing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Junqing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021136
2 2020127
3 200856
4 201845
5 201643
6 201536
7 200733
8 201731
9 201031
10 200929
11 201427
12 201826
13 202420
14 202419
15 202016
16 201716
17 201416
18 202015
19
Performance Comparison of Cholesky Decomposition on GPUs and FPGAs
201115
20 200913

About Junqing Sun

Junqing Sun is a scholar working on Molecular Biology, Hardware and Architecture, Infectious Diseases, Computer Networks and Communications and Computational Theory and Mathematics, having authored 44 papers that have together received 848 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Matrix Theory and Algorithms (5 papers), Numerical Methods and Algorithms (4 papers), Animal Virus Infections Studies (3 papers), Metal-Catalyzed Oxygenation Mechanisms (3 papers), Distributed and Parallel Computing Systems (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Hardware and Architecture (113 citations), Cellular and Molecular Neuroscience (231 citations), Biophysics (62 citations), Biological Psychiatry (24 citations) and Virology (23 citations). Junqing Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gregory D. Peterson, Olaf O. Storaasli, Lin Tian, Chunyang Dong, David E. Olson, In-Wook Hwang, Lee E. Dunlap, Maxemiliano V. Vargas, Calvin Ly and William C. Wetsel. Their work appears in journals such as Nature Communications, IEEE Transactions on Computers, Cardiovascular Research, PLoS Pathogens and Nucleic Acids Research.

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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