Junfeng Feng

7.0k total citations · 2 hit papers
124 papers, 3.3k citations indexed

About

Junfeng Feng is a scholar working on Biomedical Engineering, Neurology and Mechanical Engineering. According to data from OpenAlex, Junfeng Feng has authored 124 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Biomedical Engineering, 42 papers in Neurology and 31 papers in Mechanical Engineering. Recurrent topics in Junfeng Feng's work include Catalysis for Biomass Conversion (39 papers), Traumatic Brain Injury and Neurovascular Disturbances (38 papers) and Catalysis and Hydrodesulfurization Studies (26 papers). Junfeng Feng is often cited by papers focused on Catalysis for Biomass Conversion (39 papers), Traumatic Brain Injury and Neurovascular Disturbances (38 papers) and Catalysis and Hydrodesulfurization Studies (26 papers). Junfeng Feng collaborates with scholars based in China, United States and Australia. Junfeng Feng's co-authors include Jiyao Jiang, Guoyi Gao, Qing Mao, Hui Pan, Jianchun Jiang, Yong Lin, Xiaofeng Yang, Baoshu Xie, Yang Zhong-zhi and Bo Cai and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Junfeng Feng

120 papers receiving 3.2k citations

Hit Papers

Traumatic brain injury in China 2018 2026 2020 2023 2019 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junfeng Feng China 30 1.1k 922 779 501 383 124 3.3k
Minzhi Chen China 33 791 0.7× 1.0k 1.1× 872 1.1× 223 0.4× 357 0.9× 109 4.0k
Xinglong Yang China 25 410 0.4× 592 0.6× 488 0.6× 99 0.2× 183 0.5× 139 2.2k
Junjie Gao China 33 868 0.8× 1.6k 1.8× 66 0.1× 206 0.4× 346 0.9× 189 5.2k
Peixun Zhang China 32 835 0.8× 585 0.6× 299 0.4× 40 0.1× 229 0.6× 200 3.7k
Kunzheng Wang China 35 537 0.5× 1.2k 1.3× 59 0.1× 52 0.1× 192 0.5× 209 3.8k
Wenjuan Zhang China 35 994 0.9× 1.4k 1.6× 42 0.1× 416 0.8× 61 0.2× 193 3.8k
Chao Dang China 27 1.1k 1.0× 155 0.2× 123 0.2× 259 0.5× 200 0.5× 93 2.5k
Huilin Yang China 38 1.3k 1.2× 762 0.8× 57 0.1× 93 0.2× 120 0.3× 221 4.6k
Faqi Li China 30 1.2k 1.1× 1.3k 1.4× 117 0.2× 45 0.1× 221 0.6× 91 3.7k
Dandan Zhao China 41 470 0.4× 1.2k 1.3× 47 0.1× 196 0.4× 241 0.6× 217 5.5k

Countries citing papers authored by Junfeng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfeng Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Junfeng Feng. A scholar is included among the top collaborators of Junfeng Feng 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 Junfeng Feng. Junfeng Feng 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.
Zhang, Wenhao, et al.. (2025). Efficient hydrodeoxygenation of guaiacol to cyclohexanol over Ni–Co bimetallic nanoparticles supported on Al2O3–TiOx. Biomass and Bioenergy. 197. 107841–107841. 3 indexed citations
2.
Wang, Shuai, et al.. (2023). Selective hydrogenation of diphenyl ethers over NiCo bimetallic catalyst. Molecular Catalysis. 546. 113215–113215. 13 indexed citations
3.
Kang, Rui, et al.. (2023). Trimetallic NiZr/CoOx catalyst for the selective hydrogenation of furfural into furfuryl alcohol. International Journal of Hydrogen Energy. 51. 1471–1482. 12 indexed citations
4.
Cai, Bo, Rui Kang, Junfeng Feng, et al.. (2023). Construction of Cu–Ru bimetallic catalyst for the selective catalytic transfer hydrogenation of carbonyl (C O) in biomass-derived compounds. Renewable Energy. 222. 119833–119833. 10 indexed citations
5.
Cai, Bo, et al.. (2023). Selective hydrodeoxygenation of guaiacol to cyclohexanol over NixCoyAlz catalysts under mild conditions. Journal of Analytical and Applied Pyrolysis. 170. 105876–105876. 29 indexed citations
6.
Wang, Shuai, et al.. (2023). Fabrication of lignin-derived mesoporous carbon/magnesium oxide composites for microwave-assisted isomerization of glucose in water. International Journal of Biological Macromolecules. 232. 123341–123341. 19 indexed citations
7.
Wang, Fei, Hui Xu, Junfeng Feng, et al.. (2023). Selective hydrogenation of oleic acid over Flower-like Ni-Fe/SiO2-ZrO2 catalyst to produce fatty alcohol: Effect of SiO2. Fuel. 345. 128170–128170. 14 indexed citations
8.
Wu, Xiang, Xiao Xu, Ewout W. Steyerberg, et al.. (2023). Mortality Prediction in Severe Traumatic Brain Injury Using Traditional and Machine Learning Algorithms. Journal of Neurotrauma. 40(13-14). 1366–1375. 21 indexed citations
9.
Li, Qiaoguang, et al.. (2023). From rosin to novel bio-based silicone rubber: a review. Biomaterials Science. 11(22). 7311–7326. 14 indexed citations
10.
Huang, Jialin, Han Zhu, Ping Yu, et al.. (2022). Recombinant High-Density Lipoprotein Boosts the Therapeutic Efficacy of Mild Hypothermia in Traumatic Brain Injury. ACS Applied Materials & Interfaces. 15(1). 26–38. 7 indexed citations
12.
Yang, Chun, et al.. (2022). Epidemiological Characteristics of Older Patients with Traumatic Brain Injury in China. Journal of Neurotrauma. 39(11-12). 850–859. 18 indexed citations
13.
Song, Qingxiang, Yaoxing Chen, Mengna Zheng, et al.. (2020). Tailored Reconstituted Lipoprotein for Site-Specific and Mitochondria-Targeted Cyclosporine A Delivery to Treat Traumatic Brain Injury. ACS Nano. 14(6). 6636–6648. 48 indexed citations
14.
Zhang, Yongjian, et al.. (2020). Microwave assisted whole component separation of Phyllostachys pubescens.. 5(5). 90–95. 4 indexed citations
15.
Jiang, Gan, Huan Chen, Jialin Huang, et al.. (2020). Tailored Lipoprotein‐Like miRNA Delivery Nanostructure Suppresses Glioma Stemness and Drug Resistance through Receptor‐Stimulated Macropinocytosis. Advanced Science. 7(5). 1903290–1903290. 32 indexed citations
16.
Feng, Junfeng, et al.. (2019). Research on Construction Schedule Management of Municipal Engineering Based on BIM. 233–234. 1 indexed citations
17.
Yang, Chun, Lei Wang, Weiji Weng, et al.. (2018). Steered migration and changed morphology of human astrocytes by an applied electric field. Experimental Cell Research. 374(2). 282–289. 15 indexed citations
18.
Wu, Xiang, Guoyi Gao, Junfeng Feng, & Qing Mao. (2018). Analysis of correlation between intracranial pressure and outcome in traumatic brain injury patients. Zhonghua shenjing waike zazhi. 34(2). 119–123. 1 indexed citations
19.
Weng, Weiji, Chun Yang, Xianjian Huang, et al.. (2018). Effects of Brain Temperature on the Outcome of Patients with Traumatic Brain Injury: A Prospective Observational Study. Journal of Neurotrauma. 36(7). 1168–1174. 5 indexed citations
20.
Wu, Xiang, Guoyi Gao, Junfeng Feng, Qing Mao, & Jiyao Jiang. (2017). A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients. Journal of Visualized Experiments. 3 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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