Xiaoyi Lv

2.9k citations
139 papers · 2.0k · 1 hit paper · h-index 25

Impact in

Papers in

Xiaoyi Lv

125 papers receiving 2.0k citations

Xiaoyi Lv's Hit Papers

Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis 2022 · 135 citations
1350+1+2Years since publication4080120

Peers

Xiaoyi Lv
Comparison fields: 5 of 144
  • Biophysics 726
  • Analytical Chemistry 597
  • Health Informatics 17
  • Radiology, Nuclear Medicine and Imaging 220
  • Biomedical Engineering 396
Replace Cheng Chen with:
Cheng Chen China
Chen Chen China
Claudia Beleites Germany
Quan Liu China
Xiaoyi Lv China
Jyotirmoy Chatterjee India
Camilo L. M. Morais Brazil
Hongyi Li China
Duo Lin China
Shovan Kumar Majumder India
Xiaoyi Lv relative to Cheng Chen China Cheng Chen's profile →
Citations per field
00.5×4.2×
Cheng Chen · 1×
Citations per year

Countries citing papers authored by Xiaoyi Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis
Hit paper breakdown →
2022135
2 2022110
3 202376
4 201270
5 202360
6 201860
7 201952
8 201949
9 202147
10 202146
11 202244
12 202244
13 201942
14 202041
15 201939
16 202237
17 201933
18 201132
19 201232
20 202332

About Xiaoyi Lv

Xiaoyi Lv is a scholar working on Biophysics, Analytical Chemistry, Biomedical Engineering, Molecular Biology and Materials Chemistry, having authored 139 papers that have together received 2.0k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (63 papers), Spectroscopy and Chemometric Analyses (50 papers), Nanowire Synthesis and Applications (12 papers), Advanced Chemical Sensor Technologies (11 papers), Silicon Nanostructures and Photoluminescence (11 papers), Bee Products Chemical Analysis (9 papers), AI in cancer detection (8 papers) and Quantum Dots Synthesis And Properties (7 papers). The work is most often cited by research in Biophysics (726 citations), Analytical Chemistry (597 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (220 citations) and Biomedical Engineering (396 citations). Xiaoyi Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Cheng Chen, Chen Chen, Guodong Lv, Xiangxiang Zheng, Jiaqing Mo, Jun Tang, Xuecong Tian, Zhaoxia Zhang, Fangfang Chen and Enguang Zuo. Their work appears in journals such as Photodiagnosis and Photodynamic Therapy, Optik, Scientific Reports, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Analytica Chimica Acta.

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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