Fei Lin

945 total citations
37 papers, 644 citations indexed

About

Fei Lin is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Fei Lin has authored 37 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Fei Lin's work include Quantum Chromodynamics and Particle Interactions (5 papers), Black Holes and Theoretical Physics (5 papers) and Effects of Vibration on Health (3 papers). Fei Lin is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (5 papers), Black Holes and Theoretical Physics (5 papers) and Effects of Vibration on Health (3 papers). Fei Lin collaborates with scholars based in China, United States and United Kingdom. Fei Lin's co-authors include Igor R. Klebanov, Simone Giombi, Grigory Tarnopolsky, Mohsen Makhsous, Kun Zhang, Xinyu Liu, Chuchu Qi, Shengxi Wu, Mengmeng Wang and Fang Kuang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Fei Lin

34 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Lin China	12	261	89	79	69	61	37	644
Shuichi Yokoyama Japan	12	257 1.0×	26 0.3×	34 0.4×	43 0.6×	100 1.6×	46	494
Lixuan Chen China	17	18 0.1×	27 0.3×	257 3.3×	258 3.7×	418 6.9×	71	1.2k
Li Ji China	11	49 0.2×	29 0.3×	41 0.5×	83 1.2×	4 0.1×	77	462
Yiming Xu China	19	321 1.2×	824 9.3×	18 0.2×	249 3.6×	6 0.1×	40	1.9k
Guillaume Attuel France	6	141 0.5×	14 0.2×	31 0.4×	19 0.3×	11 0.2×	9	299
Lina Bao China	11	97 0.4×	20 0.2×	28 0.4×	67 1.0×	40 0.7×	31	340
Thomas Hoch Austria	9	173 0.7×	13 0.1×	38 0.5×	63 0.9×	79 1.3×	22	365
Jangho Kim South Korea	12	178 0.7×	20 0.2×	17 0.2×	25 0.4×	11 0.2×	45	355
Giuseppe Florio Italy	16	14 0.1×	65 0.7×	31 0.4×	667 9.7×	77 1.3×	57	879

Countries citing papers authored by Fei Lin

Since Specialization

Citations

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

Fields of papers citing papers by Fei Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Lin. A scholar is included among the top collaborators of Fei Lin 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 Fei Lin. Fei Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Wei, Jianguo Si, Liguo Yue, et al.. (2025). Bimetallic active sites with tailored d-bands boost multistep sulfur redox reactions for enhanced lithium-sulfur battery performance. Chemical Engineering Journal. 507. 160363–160363. 4 indexed citations

Lin, Fei, Guangxia Wu, Limiao Deng, et al.. (2025). A novel deep learning framework for identifying soybean salt stress levels using RGB leaf images. Industrial Crops and Products. 228. 120874–120874. 2 indexed citations

Sun, Xuejian, et al.. (2025). Metabolic Engineering Strategy for Bacillus subtilis Producing MK-7. Foods. 14(23). 4150–4150.

Yang, Li, et al.. (2025). Elevated levels of S100A8 and S100A9 exacerbate muscle mitochondrial fragmentation in sepsis-induced muscle atrophy. Communications Biology. 8(1). 338–338. 2 indexed citations

Qin, Feiwei, Ruiquan Ge, Kai Zhang, et al.. (2025). InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. Knowledge-Based Systems. 310. 112960–112960. 6 indexed citations

Shen, Honglei, Jing He, & Fei Lin. (2025). TREM2 signaling pathway in sepsis-induced acute lung injury: physiology, pathology, and therapeutic applications. Frontiers in Medicine. 12. 1546292–1546292.

Wu, Siyi, Jiemei Li, Hui Zhuang, et al.. (2025). TREM2 alleviates sepsis-induced acute lung injury by attenuating ferroptosis via the SHP1/STAT3 pathway. Free Radical Biology and Medicine. 229. 111–126. 5 indexed citations

Wang, Yongbin, et al.. (2024). Asymmetric impact of climatic parameters on hemorrhagic fever with renal syndrome in Shandong using a nonlinear autoregressive distributed lag model. Scientific Reports. 14(1). 9739–9739. 4 indexed citations

Zhao, Jinjin, Jie Zhao, Fei Lin, et al.. (2024). A quinoline-2-thione derivative as a novel chemotherapy drug candidate displays anti-tumor activity in vitro and in vivo. BMC Cancer. 24(1). 1272–1272.

10.

Xu, Kaiyang, Lecheng Liang, Tong Li, et al.. (2024). Pt_1.8Pd_0.2CuGa Intermetallic Nanocatalysts with Enhanced Methanol Oxidation Performance for Efficient Hybrid Seawater Electrolysis. Advanced Materials. 36(31). e2403792–e2403792. 45 indexed citations

11.

Yu, Zhipeng, Gianluca D’Olimpio, Haoliang Huang, et al.. (2024). Self‐Powered Hydrogen Production From Seawater Enabled by Trifunctional Exfoliated PtTe Nanosheet Catalysts. Advanced Functional Materials. 34(39). 26 indexed citations

12.

Wang, Zhiyi, Yan Yu, Qingfeng Yan, et al.. (2024). Preparation and characterization of neural stem cell-loaded conductive hydrogel cochlear implant electrode coatings. Biomaterials Advances. 167. 214109–214109. 1 indexed citations

13.

Wang, Yongbin, et al.. (2024). Long- and short-run asymmetric impacts of climate variation on tuberculosis based on a time series study. Scientific Reports. 14(1). 23565–23565. 2 indexed citations

14.

Lin, Fei, et al.. (2023). Deep Reinforcement Learning Optimization Algorithm Designed for IRS-Assisted Edge Computing. 835–840. 1 indexed citations

15.

Lin, Fei & Berkeley J. Dietvorst. (2023). Prediction by Replication: People Prefer Prediction Algorithms That Replicate the Event Being Predicted. Journal of the Association for Consumer Research. 9(3). 306–318. 2 indexed citations

16.

Liu, Hao, Lu Zhang, Zhen Liu, et al.. (2023). Galectin-3 as TREM2 upstream factor contributes to lung ischemia-reperfusion injury by regulating macrophage polarization. iScience. 26(9). 107496–107496. 11 indexed citations

17.

Wang, Ye, et al.. (2022). Task Offloading Based-on Deep Reinforcement Learning for Microgrid. 281–285. 1 indexed citations

18.

C, Liu, Zhuming Guo, Li Y, et al.. (2019). LncRNA SNHG5 Promotes Proliferation of Glioma by Regulating miR-205-5p/ZEB2 Axis. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Lin, Fei, et al.. (2005). FEM model for evaluating buttock tissue response under sitting load. PubMed. 4. 5088–5091. 11 indexed citations

20.

Lin, Fei, et al.. (2005). Reducing whole-body vibration of vehicle drivers with a new sitting concept. PubMed. 4. 5111–5114. 2 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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