Zhao Feng

2.0k total citations
34 papers, 623 citations indexed

About

Zhao Feng is a scholar working on Biophysics, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhao Feng has authored 34 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biophysics, 7 papers in Cognitive Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhao Feng's work include Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and Medical Image Segmentation Techniques (6 papers). Zhao Feng is often cited by papers focused on Cell Image Analysis Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and Medical Image Segmentation Techniques (6 papers). Zhao Feng collaborates with scholars based in China, Netherlands and Canada. Zhao Feng's co-authors include Hui Gong, Anan Li, Qingming Luo, Shaoqun Zeng, Xiangning Li, Cheng Yan, Wenxiang Ding, Tonghui Xu, Xiaoli Qi and Zhongqin Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Bioinformatics.

In The Last Decade

Zhao Feng

27 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhao Feng China 13 271 137 120 101 97 34 623
Wenxiang Ding China 10 266 1.0× 89 0.6× 55 0.5× 89 0.9× 50 0.5× 35 484
Jie Peng China 8 174 0.6× 126 0.9× 176 1.5× 70 0.7× 142 1.5× 12 647
Jingpeng Wu China 10 542 2.0× 212 1.5× 178 1.5× 143 1.4× 141 1.5× 36 964
Dušan Ristanović Serbia 15 122 0.5× 123 0.9× 138 1.1× 56 0.6× 140 1.4× 38 578
Qiuyuan Zhong China 8 257 0.9× 147 1.1× 164 1.4× 89 0.9× 161 1.7× 13 534
Marie Caroline Müllenbroich Italy 13 203 0.7× 113 0.8× 127 1.1× 126 1.2× 55 0.6× 32 473
Chentao Wen Japan 4 164 0.6× 92 0.7× 97 0.8× 113 1.1× 122 1.3× 8 480
Daniel Schmitter Switzerland 10 55 0.2× 131 1.0× 26 0.2× 32 0.3× 59 0.6× 23 539
Henrik Skibbe Japan 11 69 0.3× 68 0.5× 60 0.5× 29 0.3× 66 0.7× 38 484
Guoming Luan China 15 76 0.3× 71 0.5× 209 1.7× 66 0.7× 238 2.5× 70 767

Countries citing papers authored by Zhao Feng

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Feng. A scholar is included among the top collaborators of Zhao 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 Zhao Feng. Zhao 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.
Chen, Simeng, Zhao Feng, Xiangning Li, et al.. (2024). Knowledge mining of brain connectivity in massive literature based on transfer learning. Bioinformatics. 40(12).
2.
3.
Li, Anan, Hui Gong, Xiao‐Quan Yang, et al.. (2024). The cytoarchitectonic landscape revealed by deep learning method facilitated precise positioning in mouse neocortex. Cerebral Cortex. 34(6).
4.
Feng, Zhao, et al.. (2024). A complementary approach for neocortical cytoarchitecture inspection with cellular resolution imaging at whole brain scale. Frontiers in Neuroanatomy. 18. 1388084–1388084. 1 indexed citations
5.
Chen, Wu, Wei Zhou, Hui Gong, et al.. (2024). Graph-based cell pattern recognition for merging the multi-modal optical microscopic image of neurons. Computer Methods and Programs in Biomedicine. 256. 108392–108392.
6.
Liu, Xin, Anan Li, Yue Luo, et al.. (2023). An interactive image segmentation method for the anatomical structures of the main olfactory bulb with micro-level resolution. Frontiers in Neuroinformatics. 17. 1276891–1276891.
7.
Ma, Wei, Jinwei Yang, Jinfen Zhang, et al.. (2023). Cerebral protective effect of in situ and remote ischemic postconditioning on ischemic stroke rat via the TGFβ1-Smad2/3 signaling pathway. Brain Research. 1824. 148685–148685. 3 indexed citations
8.
Wang, Xiaolu, Zhiqiang Liu, Zhao Feng, et al.. (2023). Excitatory nucleo-olivary pathway shapes cerebellar outputs for motor control. Nature Neuroscience. 26(8). 1394–1406. 15 indexed citations
9.
Feng, Zhao, et al.. (2023). The role of fibromodulin in inflammatory responses and diseases associated with inflammation. Frontiers in Immunology. 14. 1191787–1191787. 10 indexed citations
10.
11.
Cui, Yuting, Xiaodan Huang, Pengcheng Huang, et al.. (2022). Reward ameliorates depressive-like behaviors via inhibition of the substantia innominata to the lateral habenula projection. Science Advances. 8(27). eabn0193–eabn0193. 26 indexed citations
12.
Zhang, Qi, Anan Li, Siqi Chen, et al.. (2022). Multiscale reconstruction of various vessels in the intact murine liver lobe. Communications Biology. 5(1). 260–260. 8 indexed citations
13.
Guan, Yue, Zhao Feng, Ní Hóng, et al.. (2020). DeepBrainSeg: Automated Brain Region Segmentation for Micro-Optical Images With a Convolutional Neural Network. Frontiers in Neuroscience. 14. 179–179. 12 indexed citations
14.
Hóng, Ní, Zhao Feng, Xing‐Qiu Chen, et al.. (2020). A Robust Image Registration Interface for Large Volume Brain Atlas. Scientific Reports. 10(1). 2139–2139. 30 indexed citations
15.
Jiang, Siqi, Zhao Feng, Yue Guan, et al.. (2020). Skeleton optimization of neuronal morphology based on three-dimensional shape restrictions. BMC Bioinformatics. 21(1). 395–395. 5 indexed citations
16.
Feng, Zhao, Yue Guan, Xueyan Jia, et al.. (2020). DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks. Neuroinformatics. 19(2). 267–284. 12 indexed citations
17.
Xu, Xiaofeng, Yue Guan, Hui Gong, et al.. (2019). Automated Brain Region Segmentation for Single Cell Resolution Histological Images Based on Markov Random Field. Neuroinformatics. 18(2). 181–197. 5 indexed citations
18.
Ren, Miao, et al.. (2018). Simultaneous Acquisition of Multicolor Information From Neural Circuits in Resin-Embedded Samples. Frontiers in Neuroscience. 12. 885–885. 14 indexed citations
19.
Feng, Zhao, Anan Li, Hui Gong, & Qingming Luo. (2016). An Automatic Method for Nucleus Boundary Segmentation Based on a Closed Cubic Spline. Frontiers in Neuroinformatics. 10. 21–21. 5 indexed citations
20.
Xu, Dongli, Tao Jiang, Anan Li, et al.. (2013). Fast optical sectioning obtained by structured illumination microscopy using a digital mirror device. Journal of Biomedical Optics. 18(6). 60503–60503. 40 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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