Xun Che

465 citations
26 papers · 390 · h-index 10

Impact in

Papers in

Xun Che

22 papers receiving 385 citations

Peers

Xun Che
Comparison fields: 5 of 100
  • Biophysics 90
  • Analytical Chemistry 65
  • Cancer Research 70
  • Molecular Biology 181
  • Clinical Biochemistry 13
Replace Min Ai with:
Min Ai China
Keita Iwasaki Japan
Mingdi Liu China
M. Luísa Dória Portugal
Wenbin Xu China
Agnieszka Kaufman‐Szymczyk Poland
Raymond J. Gonzalez United States
Reta Birhanu Kitata United States
Krzysztof Ossoliński Poland
Xun Che relative to Min Ai China Min Ai's profile →
Citations per field
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Min Ai · 1×
Citations per year

Countries citing papers authored by Xun Che

Since Specialization
Citations

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

Fields of papers citing papers by Xun Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001120
2 201675
3 201940
4 201528
5 201427
6 202115
7 201313
8 201512
9 202310
10 199910
11 20139
12 20187
13 20166
14 20193
15 20243
16
[Effect of dachaihutang on expression of carnitine patmitoryl transferase-1 in vascular smooth muscle layer of atherosclerotic rabbits].
20093
17
Design and Analysis of the Decision-Making Subsystem of a Soccer-Robot System
20012
18 20242
19
Investigation of breast tumors of women with Fourier transform infrared spectrometry
20012
20 20241

About Xun Che

Xun Che is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology and Epidemiology, having authored 26 papers that have together received 390 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Video Surveillance and Tracking Methods (3 papers), Autophagy in Disease and Therapy (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Peptidase Inhibition and Analysis (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Biophysics (90 citations), Analytical Chemistry (65 citations), Cancer Research (70 citations), Molecular Biology (181 citations) and Clinical Biochemistry (13 citations). Xun Che has collaborated with scholars based in China and United States. Frequent co-authors include Chuanshu Huang, Xiang Hu, Hongwei Guan, Weidong Huang, Rainer Eckel, Hong Huo, Wei Dai, Haishan Huang, Junlan Zhu and Chao Huang. Their work appears in journals such as Oncogene, Oncotarget, Multimedia Systems, Current Molecular Pharmacology and Biochemical and Biophysical Research Communications.

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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