Xinfei Wang

662 total citations · 1 hit paper
34 papers, 456 citations indexed

About

Xinfei Wang is a scholar working on Molecular Biology, Cancer Research and Civil and Structural Engineering. According to data from OpenAlex, Xinfei Wang has authored 34 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Cancer Research and 7 papers in Civil and Structural Engineering. Recurrent topics in Xinfei Wang's work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (14 papers). Xinfei Wang is often cited by papers focused on Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (14 papers). Xinfei Wang collaborates with scholars based in China, Canada and Iran. Xinfei Wang's co-authors include Chang-Qing Yu, Zhu‐Hong You, Zhong-Hao Ren, Dongqing Liu, Wenzhun Huang, Haifeng Cheng, Liping Li, Jundong Tao, Zhen Meng and Desui Chen and has published in prestigious journals such as Nature Communications, Chemical Engineering Journal and BMC Bioinformatics.

In The Last Decade

Xinfei Wang

30 papers receiving 449 citations

Hit Papers

Transparent dynamic infrared emissivity regulators 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Transparent dynamic infrared emissivity regulators
    2023 114 citations Dongqing Liu, Desui Chen et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinfei Wang China 12 244 179 134 58 56 34 456
Fuhao Zhang China 16 611 2.5× 211 1.2× 5 0.0× 161 2.8× 8 0.1× 43 931
Mengting Niu China 12 376 1.5× 182 1.0× 4 0.0× 42 0.7× 3 0.1× 22 491
Xingdong Feng China 11 41 0.2× 6 0.0× 96 0.7× 5 0.1× 31 0.6× 44 446
Zhenhua Shen China 10 107 0.4× 45 0.3× 5 0.0× 5 0.1× 4 0.1× 38 364
Shaozhou Wang China 11 186 0.8× 15 0.1× 9 0.1× 45 0.8× 2 0.0× 27 332
Xiaoxiong Li China 11 78 0.3× 11 0.1× 13 0.1× 2 0.0× 5 0.1× 47 375
Hongjie He China 16 32 0.1× 8 0.0× 5 0.0× 9 0.2× 6 0.1× 82 868
Chunlong Sun China 11 125 0.5× 6 0.0× 12 0.1× 22 0.4× 4 0.1× 34 391

Countries citing papers authored by Xinfei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinfei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinfei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinfei Wang. A scholar is included among the top collaborators of Xinfei Wang 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 Xinfei Wang. Xinfei Wang 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.
2.
Wang, Xinfei, et al.. (2025). Unlocking the secrets of Ti / Si co-doped diamond-like carbon films for high-performance lubrication in humid environments. Diamond and Related Materials. 156. 112402–112402. 1 indexed citations
3.
Wang, Xinfei, et al.. (2025). Carbon coatings design to optimize electro-chemo-mechanical behavior of lithium-ion battery electrodes: A review. Materials Today Energy. 52. 101951–101951. 4 indexed citations
4.
Wang, Xinfei, Zhen Meng, Yufei Ge, et al.. (2024). All-dielectric spectral selective emitter for infrared-microwave compatible stealth. Optics Communications. 573. 131032–131032. 6 indexed citations
5.
Wang, Xinfei, Lan Huang, Yan Wang, et al.. (2024). A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. Briefings in Bioinformatics. 25(6). 5 indexed citations
6.
Jiang, Xinpeng, Xinfei Wang, Gangyi Zhu, et al.. (2024). Bicolor Regulation of an Ultrathin Absorber in the Mid-Wave Infrared and Long-Wave Infrared Regimes. ACS Photonics. 11(1). 218–229. 23 indexed citations
7.
Yu, Chang-Qing, et al.. (2024). Hither-CMI: Prediction of circRNA-miRNA Interactions Based on a Hybrid Multimodal Network and Higher-Order Neighborhood Information via a Graph Convolutional Network. Journal of Chemical Information and Modeling. 65(1). 446–459. 8 indexed citations
8.
Jia, Yan, Dongqing Liu, Desui Chen, et al.. (2024). Realizing Sunlight‐Induced Efficiently Dynamic Infrared Emissivity Modulation Based on Aluminum‐Doped zinc Oxide Nanocrystals. Advanced Science. 11(36). e2405962–e2405962. 4 indexed citations
9.
Wang, Xinfei, et al.. (2024). Tribology performance of diamond-like carbon films on polyether-ether-ketone surfaces. Diamond and Related Materials. 146. 111187–111187. 1 indexed citations
10.
Wang, Xinfei, Lan Huang, Yan Wang, et al.. (2024). Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. Briefings in Bioinformatics. 25(6). 3 indexed citations
11.
Wang, Xinfei, Dongqing Liu, Zhe Wan, et al.. (2024). A gradient nanoporous radiative cooling ceramic with high spectral selectivity. Chemical Engineering Journal. 500. 157344–157344. 15 indexed citations
12.
Wang, Xinfei, Liang Peng, Zhen Meng, Dongqing Liu, & Haifeng Cheng. (2024). Spectrally selective thermal emitter based on HfO2/Mo multilayer film for high-temperature infrared stealth. Infrared Physics & Technology. 145. 105670–105670. 4 indexed citations
13.
Liu, Dongqing, Desui Chen, Yizheng Jin, et al.. (2023). Transparent dynamic infrared emissivity regulators. Nature Communications. 14(1). 5087–5087. 114 indexed citations breakdown →
14.
Wang, Xinfei, Chang-Qing Yu, Zhu‐Hong You, et al.. (2023). KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder. iScience. 26(8). 107478–107478. 25 indexed citations
15.
Wang, Xinfei, Chang-Qing Yu, Zhu‐Hong You, et al.. (2023). A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks. Briefings in Bioinformatics. 24(3). 28 indexed citations
16.
Ren, Zhong-Hao, Quan Zou, Chang-Qing Yu, et al.. (2023). DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis. Journal of Translational Medicine. 21(1). 48–48. 28 indexed citations
17.
Yu, Chang-Qing, et al.. (2023). LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model. Frontiers in Genetics. 14. 1122909–1122909. 6 indexed citations
18.
You, Zhu‐Hong, Chang-Qing Yu, Lei Wang, et al.. (2023). DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information. Briefings in Functional Genomics. 23(3). 276–285. 19 indexed citations
19.
Wang, Xinfei, Chang-Qing Yu, Zhu‐Hong You, et al.. (2023). An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding. Computers in Biology and Medicine. 165. 107421–107421. 16 indexed citations
20.

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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