Shaofei Chen

1.4k citations
128 papers · 979 · 1 hit paper · h-index 16

Impact in

Papers in

Shaofei Chen

107 papers receiving 959 citations

Shaofei Chen's Hit Papers

STCF conceptual design report (Volume 1): Physics & detector 2023 · 118 citations
1180+1+2Years since publication255075100

Peers

Shaofei Chen
Comparison fields: 5 of 95
  • Nuclear and High Energy Physics 301
  • Pharmacology 118
  • Hepatology 65
  • Cancer Research 59
  • Computer Vision and Pattern Recognition 86
Replace Jingjing Song with:
Jingjing Song China
Hongyang Li China
Ming-Fei Li China
Shijie Wei China
Jiale He China
Yingyang Chen China
Gregor Hackenbroich Germany
Yihan Zhang China
Piotr Klukowski Switzerland
E. Wes Bethel United States
Shaofei Chen relative to Jingjing Song China Jingjing Song's profile →
Citations per field
00.5×20×40×59×
Jingjing Song · 1×
Citations per year

Countries citing papers authored by Shaofei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaofei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
STCF conceptual design report (Volume 1): Physics & detector
Hit paper breakdown →
2023118
2 201871
3 201050
4 201643
5 201036
6 201533
7 201732
8 202431
9 202025
10 201320
11 201618
12 201618
13 201818
14 202018
15 201317
16 201717
17 202316
18 201615
19 201715
20 202415

About Shaofei Chen

Shaofei Chen is a scholar working on Nuclear and High Energy Physics, Pharmacology, Biomaterials, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 128 papers that have together received 979 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (52 papers), Particle physics theoretical and experimental studies (29 papers), Microbial Natural Products and Biosynthesis (11 papers), Robotic Path Planning Algorithms (7 papers), Phytochemistry and Bioactive Compounds (6 papers), Artificial Intelligence in Games (5 papers), Reinforcement Learning in Robotics (4 papers) and Military Defense Systems Analysis (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (301 citations), Pharmacology (118 citations), Hepatology (65 citations), Cancer Research (59 citations) and Computer Vision and Pattern Recognition (86 citations). Shaofei Chen has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Jing Chen, Lincheng Shen, Yue‐Hu Pei, Haifeng Wang, Gang Chen, Chidan Wan, Ping Fan, Xiaojie Lu, Dan Zhao and Bochao Liu. Their work appears in journals such as Physical review. D, Physical Review Letters, Journal of Asian Natural Products Research, Journal of High Energy Physics and Electronics.

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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