Xiaoyi Lv

2.6k total citations · 1 hit paper
135 papers, 1.9k citations indexed

About

Xiaoyi Lv is a scholar working on Biophysics, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Xiaoyi Lv has authored 135 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Biophysics, 54 papers in Analytical Chemistry and 36 papers in Biomedical Engineering. Recurrent topics in Xiaoyi Lv's work include Spectroscopy Techniques in Biomedical and Chemical Research (65 papers), Spectroscopy and Chemometric Analyses (53 papers) and Nanowire Synthesis and Applications (12 papers). Xiaoyi Lv is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (65 papers), Spectroscopy and Chemometric Analyses (53 papers) and Nanowire Synthesis and Applications (12 papers). Xiaoyi Lv collaborates with scholars based in China, Hong Kong and Denmark. Xiaoyi Lv's co-authors include Cheng Chen, Chen Chen, Guodong Lv, Xiangxiang Zheng, Jiaqing Mo, Jun Tang, Zhaoxia Zhang, Fangfang Chen, Enguang Zuo and Ziwei Yan and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Inorganic Chemistry.

In The Last Decade

Xiaoyi Lv

120 papers receiving 1.9k citations

Hit Papers

Colon cancer diagnosis and staging classification based o... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoyi Lv China 24 714 609 464 400 240 135 1.9k
Cheng Chen China 24 762 1.1× 642 1.1× 390 0.8× 341 0.9× 333 1.4× 119 1.8k
Chen Chen China 22 608 0.9× 515 0.8× 318 0.7× 292 0.7× 377 1.6× 108 1.6k
Quan Liu China 31 787 1.1× 402 0.7× 468 1.0× 1.3k 3.3× 915 3.8× 166 3.3k
E. Neil Lewis United States 29 1.2k 1.6× 945 1.6× 600 1.3× 611 1.5× 352 1.5× 70 2.6k
James Mansfield United States 25 594 0.8× 286 0.5× 345 0.7× 583 1.5× 471 2.0× 72 1.8k
Shovan Kumar Majumder India 24 1.1k 1.6× 794 1.3× 338 0.7× 706 1.8× 585 2.4× 89 1.9k
Abigail S. Haka United States 24 1.9k 2.6× 1.2k 2.0× 1.0k 2.3× 831 2.1× 551 2.3× 44 3.5k
Benjamin Bird United States 24 1.8k 2.5× 1.2k 2.0× 677 1.5× 386 1.0× 253 1.1× 38 2.4k
Michael J. Walsh United States 26 2.2k 3.0× 1.3k 2.2× 837 1.8× 619 1.5× 294 1.2× 63 3.2k
Narahara Chari Dingari United States 21 737 1.0× 699 1.1× 268 0.6× 362 0.9× 191 0.8× 27 1.3k

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-authorship network of co-authors of Xiaoyi Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyi Lv. A scholar is included among the top collaborators of Xiaoyi Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyi Lv. Xiaoyi Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jia, Zhenhong, et al.. (2025). RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios. Expert Systems with Applications. 274. 126941–126941. 2 indexed citations
2.
Chen, Chen, et al.. (2025). High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships. Engineering Applications of Artificial Intelligence. 146. 110303–110303. 1 indexed citations
3.
Chen, Jinchao, Pei Liu, Chen Chen, et al.. (2025). TDMFS: Tucker decomposition multimodal fusion model for pan-cancer survival prediction. Artificial Intelligence in Medicine. 162. 103099–103099.
4.
Bi, Wei, et al.. (2025). Meta-ensemble learning with adaptive sampling for imbalanced medical Raman spectroscopy data. Applied Soft Computing. 176. 113142–113142. 2 indexed citations
6.
Shi, Tian, et al.. (2024). Rapid diagnosis of celiac disease based on plasma Raman spectroscopy combined with deep learning. Scientific Reports. 14(1). 15056–15056. 3 indexed citations
7.
Zuo, Enguang, et al.. (2023). MFAD: a graph anomaly detection framework based on multi-frequency reconstruction. 133–133. 1 indexed citations
8.
Li, Hongyi, Enguang Zuo, Tianle Li, et al.. (2023). CSGNN: Contamination Warning and Control of Food Quality via Contrastive Self-Supervised Learning-Based Graph Neural Network. Foods. 12(5). 1048–1048. 4 indexed citations
9.
Chen, Cheng, Chen Chen, Lijun Wu, et al.. (2023). Coupling annealed silver nanoparticles with a porous silicon Bragg mirror SERS substrate and machine learning for rapid non-invasive disease diagnosis. Analytica Chimica Acta. 1254. 341116–341116. 62 indexed citations
10.
Yin, Changkai, et al.. (2023). Metal-free surface modification strategy to enhance photoelectrocatalytic activity of TiO2 nanomeshes for water remediation. Colloids and Surfaces A Physicochemical and Engineering Aspects. 676. 132171–132171. 1 indexed citations
11.
Liu, Jie, et al.. (2023). Early screening of cervical cancer based on tissue Raman spectroscopy combined with deep learning algorithms. Photodiagnosis and Photodynamic Therapy. 42. 103557–103557. 17 indexed citations
13.
Feng, Yifan, et al.. (2023). A novel technology of structural distance feature of Raman spectra and convolutional neural network for alcohol dependence diagnosis. Microchemical Journal. 189. 108485–108485. 1 indexed citations
14.
Chen, Chen, Enguang Zuo, Lijun Wu, et al.. (2023). Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations. Applied Soft Computing. 152. 111215–111215. 2 indexed citations
15.
Liu, Yue, Chen Chen, Enguang Zuo, et al.. (2023). A prospective study: Advances in chaotic characteristics of serum Raman spectroscopy in the field of assisted diagnosis of disease. Expert Systems with Applications. 238. 121787–121787. 6 indexed citations
16.
Chen, Junlong, Long Yu, Shengwei Tian, Xiaoyi Lv, & Zhaoxia Zhang. (2022). Multiscale Convolutional Neural Network of Raman Spectra of Human Serum for Hepatitis B Disease Diagnosis. 18–27,42. 2 indexed citations
17.
Chen, Cheng, Chen Chen, Ziwei Yan, et al.. (2022). Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma. Journal of Raman Spectroscopy. 53(4). 735–745. 21 indexed citations
18.
Chen, Cheng, et al.. (2021). A novel diagnostic method: FT-IR, Raman and derivative spectroscopy fusion technology for the rapid diagnosis of renal cell carcinoma serum. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 269. 120684–120684. 46 indexed citations
19.
Jia, Zhenhong, et al.. (2020). Biological Detection Based on the Transmitted Light Image From a Porous Silicon Microcavity. IEEE Sensors Journal. 20(20). 12184–12189. 11 indexed citations
20.
Chen, Fangfang, Chen Chen, Wenrong Li, et al.. (2020). Rapid detection of seven indexes in sheep serum based on Raman spectroscopy combined with DOSC-SPA-PLSR-DS model. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 248. 119260–119260. 20 indexed citations

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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