Chong Qi

3.3k citations
103 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Chong Qi

95 papers receiving 1.6k citations

Chong Qi's Hit Papers

Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development 2025 · 23 citations
230Years since publication5101520

Peers

Chong Qi
Comparison fields: 5 of 77
  • Nuclear and High Energy Physics 1.4k
  • Atomic and Molecular Physics, and Optics 765
  • Radiation 150
  • Spectroscopy 158
  • Catalysis 36
Replace Brian Odom with:
Brian Odom United States
R. G. E. Timmermans Netherlands
Walid Chaibi France
S. Ståhl Germany
A. Covello Italy
R. Schubart Germany
B. Spaun United States
S. Sturm Germany
A. Johnson Sweden
J.A. Niskanen Finland
Chong Qi relative to Brian Odom United States Brian Odom's profile →
Citations per field
00.5×7.3×
Brian Odom · 1×
Citations per year

Countries citing papers authored by Chong Qi

Since Specialization
Citations

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

Fields of papers citing papers by Chong Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009287
2 2009170
3 201267
4 201165
5 202451
6 201251
7 201638
8 201436
9 202135
10 201535
11 201034
12 201530
13 201128
14 202227
15 201327
16 201525
17 201524
18 201124
19
Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development
Hit paper breakdown →
202523
20 202422

About Chong Qi

Chong Qi is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Spectroscopy, Radiation and Statistical and Nonlinear Physics, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nuclear physics research studies (79 papers), Quantum Chromodynamics and Particle Interactions (28 papers), Atomic and Molecular Physics (28 papers), Astronomical and nuclear sciences (23 papers), Advanced NMR Techniques and Applications (20 papers), Advanced Chemical Physics Studies (12 papers), Nuclear Physics and Applications (11 papers) and Nuclear reactor physics and engineering (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.4k citations), Atomic and Molecular Physics, and Optics (765 citations), Radiation (150 citations), Spectroscopy (158 citations) and Catalysis (36 citations). Chong Qi has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include R. Wyss, R. J. Liotta, F. R. Xu, R. J. Liotta, R. Wyss, C. Asawatangtrakuldee, Di Hu, M. Y. Zhang, D. S. Delion and A. Soylu. Their work appears in journals such as Physical review. C, Nuclear Physics A, Physics Letters B, Computer Physics Communications and Chinese Physics C.

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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