Chong Sun

2.7k citations
47 papers · 897 indexed · 1 hit paper · h-index 11

Impact in

Papers in

Chong Sun

39 papers receiving 874 citations

Hit Papers

Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution 2019 · 422 citations
4222019202620212023100200300400

Peers

Chong Sun
Comparison fields: 5 of 93
  • Computational Mathematics 10
  • Artificial Intelligence 410
  • Atomic and Molecular Physics, and Optics 394
  • Condensed Matter Physics 58
  • Molecular Medicine 22
Replace Hao Tang with:
Hao Tang China
Minsoo Kim South Korea
Adi Makmal Israel
Esteban A. Martinez Austria
Sajant Anand United States
Pai Peng China
Karan K. Mehta United States
Jian Cui China
Weifeng Hu China
Maho Nakata Japan
Chong Sun relative to Hao Tang China Hao Tang's profile →
Citations per field
00.5×10×
Hao Tang · 1×
Citations per year

Countries citing papers authored by Chong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
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5 20242
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7 20242
8 20241
9 202360
10 20236
11 20236
12 20222
13 202219
14 20214
15 20212
16 20177
17 20174
18 20166
19 201337
20 201148

About Chong Sun

Chong Sun is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Artificial Intelligence, Control and Systems Engineering and Molecular Medicine, having authored 47 papers that have together received 897 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Neural Networks and Reservoir Computing (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Quantum many-body systems (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Physics of Superconductivity and Magnetism (3 papers) and Quantum Information and Cryptography (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Artificial Intelligence (410 citations), Atomic and Molecular Physics, and Optics (394 citations), Condensed Matter Physics (58 citations) and Molecular Medicine (22 citations). Chong Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Garnet Kin‐Lic Chan, Erika Ye, Adrian T. K. Tan, Matthew J. O’Rourke, Fernando G. S. L. Brandão, Mário Motta, Austin J. Minnich, Zhiguo Liu, Yidong Xia and Jiang Yin. Their work appears in journals such as Nature Physics, Journal of Orthopaedic Surgery and Research, Quantum Science and Technology, IET Renewable Power Generation and Physics of Plasmas.

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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