Ji Chu

1k citations
29 papers · 783 · 1 hit paper · h-index 12

Impact in

Papers in

Ji Chu

23 papers receiving 763 citations

Ji Chu's Hit Papers

Optimal charging of a superconducting quantum battery 2022 · 142 citations
1420+1+2Years since publication4080120

Peers

Ji Chu
Comparison fields: 5 of 20
  • Artificial Intelligence 501
  • Statistical and Nonlinear Physics 154
  • Atomic and Molecular Physics, and Optics 198
  • Condensed Matter Physics 10
  • Mathematical Physics 6
Replace Filip Wudarski with:
Filip Wudarski United States
Xuhao Zhu China
Feitong Jin China
Brian E. Anderson United States
Jinfeng Deng China
Shibo Xu China
Quentin Ficheux France
Matteo Brunelli United Kingdom
Ludwig Hartmann Germany
Stuart Flannigan United Kingdom
Ji Chu relative to Filip Wudarski United States Filip Wudarski's profile →
Citations per field
00.5×2×2.9×
Filip Wudarski · 1×
Citations per year

Countries citing papers authored by Ji Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020163
2
Optimal charging of a superconducting quantum battery
Hit paper breakdown →
2022142
3 2019122
4 202072
5 202042
6 202241
7 202339
8 202233
9 202219
10 202416
11 202115
12 202412
13 201911
14 202111
15 20239
16 20249
17 20246
18 20246
19 20256
20 20193

About Ji Chu

Ji Chu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Mathematical Physics and Condensed Matter Physics, having authored 29 papers that have together received 783 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (24 papers), Quantum Computing Algorithms and Architecture (5 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Quantum many-body systems (2 papers), Quantum Mechanics and Applications (1 paper), Quantum and electron transport phenomena (1 paper), Spectral Theory in Mathematical Physics (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Artificial Intelligence (501 citations), Statistical and Nonlinear Physics (154 citations), Atomic and Molecular Physics, and Optics (198 citations), Condensed Matter Physics (10 citations) and Mathematical Physics (6 citations). Ji Chu has collaborated with scholars based in China, Brazil and Sweden. Frequent co-authors include Xinsheng Tan, Yang Yu, Song Liu, Fei Yan, Dapeng Yu, Yuxuan Zhou, Libo Zhang, Jian Li, Yuan Xu and Jiawei Qiu. Their work appears in journals such as Physical Review Letters, Applied Physics Letters, Physical Review Applied, Nature Communications and Nature Physics.

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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