Jifeng Shen

1.4k total citations · 1 hit paper
56 papers, 935 citations indexed

About

Jifeng Shen is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Plant Science. According to data from OpenAlex, Jifeng Shen has authored 56 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 13 papers in Analytical Chemistry and 12 papers in Plant Science. Recurrent topics in Jifeng Shen's work include Video Surveillance and Tracking Methods (16 papers), Spectroscopy and Chemometric Analyses (13 papers) and Smart Agriculture and AI (11 papers). Jifeng Shen is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Spectroscopy and Chemometric Analyses (13 papers) and Smart Agriculture and AI (11 papers). Jifeng Shen collaborates with scholars based in China, United States and Taiwan. Jifeng Shen's co-authors include Xiaohong Wu, Wankou Yang, Jun Sun, Xin Zuo, Xin Zhou, Heng Fan, Yue Liu, Yifei Chen, Bing Lu and Changyin Sun and has published in prestigious journals such as Journal of Applied Physics, Chemosphere and Chemical Physics Letters.

In The Last Decade

Jifeng Shen

53 papers receiving 904 citations

Hit Papers

ICAFusion: Iterative cross-attention guided feature fusio... 2023 2026 2024 2025 2023 40 80 120
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. ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection
    2023 137 citations Jifeng Shen, Yifei Chen et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jifeng Shen China 18 273 266 255 127 120 56 935
Eunsoo Park South Korea 18 187 0.7× 267 1.0× 171 0.7× 67 0.5× 34 0.3× 55 753
Yan Cao China 18 174 0.6× 321 1.2× 135 0.5× 178 1.4× 35 0.3× 33 907
Wenzhu Yang China 14 190 0.7× 86 0.3× 248 1.0× 38 0.3× 95 0.8× 47 707
Ashwani Kumar Dubey India 17 247 0.9× 154 0.6× 125 0.5× 91 0.7× 90 0.8× 91 934
Raimund Leitner Austria 14 119 0.4× 211 0.8× 68 0.3× 180 1.4× 28 0.2× 50 669
G. Attolico Italy 16 302 1.1× 234 0.9× 131 0.5× 127 1.0× 34 0.3× 66 751
Fathinul Syahir Ahmad Saad Malaysia 12 156 0.6× 129 0.5× 125 0.5× 161 1.3× 47 0.4× 64 714
Shuai Feng China 12 158 0.6× 108 0.4× 132 0.5× 58 0.5× 27 0.2× 41 489
Jinrong He China 14 525 1.9× 237 0.9× 146 0.6× 67 0.5× 135 1.1× 71 1.0k
Yanjun Zhu China 13 407 1.5× 215 0.8× 114 0.4× 66 0.5× 42 0.3× 25 741

Countries citing papers authored by Jifeng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jifeng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jifeng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jifeng Shen. A scholar is included among the top collaborators of Jifeng Shen 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 Jifeng Shen. Jifeng Shen 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.
Zuo, Xin, Sheng Yu, Jifeng Shen, & Yongwei Shan. (2024). Topology-aware mamba for crack segmentation in structures. Automation in Construction. 168. 105845–105845. 9 indexed citations
3.
Shen, Jifeng, et al.. (2024). PARDet: Dynamic point set alignment for rotated object detection. Pattern Recognition. 153. 110534–110534. 7 indexed citations
4.
Zuo, Xin, Sheng Yu, Jifeng Shen, & Yongwei Shan. (2024). Multilabel Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning. Journal of Computing in Civil Engineering. 39(1). 2 indexed citations
5.
Chen, Yifei, et al.. (2024). Learnable Cross-Scale Sparse Attention Guided Feature Fusion for UAV Object Detection. IEEE Access. 12. 114212–114226. 2 indexed citations
6.
Zuo, Xin, et al.. (2023). Mask-Guided Attention for Subcategory-Level Sewer Pipe Crack Classification. Journal of Pipeline Systems Engineering and Practice. 15(1). 3 indexed citations
7.
Shen, Jifeng, Yifei Chen, Yue Liu, et al.. (2023). ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection. Pattern Recognition. 145. 109913–109913. 137 indexed citations breakdown →
8.
Wang, Guangtao, Jun Li, Zhijian Wu, et al.. (2023). EfficientFace: an efficient deep network with feature enhancement for accurate face detection. Multimedia Systems. 29(5). 2825–2839. 12 indexed citations
9.
Wang, Yufeng, Jia Tian, Jun Peng, et al.. (2022). Fundamental research on selective arsenic removal from high-salinity alkaline wastewater. Chemosphere. 307(Pt 3). 135992–135992. 10 indexed citations
10.
Wang, Simin, et al.. (2022). Identifying Field Crop Diseases Using Transformer-Embedded Convolutional Neural Network. Agriculture. 12(8). 1083–1083. 48 indexed citations
11.
Sun, Jun, et al.. (2022). Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network. Computers and Electronics in Agriculture. 193. 106705–106705. 36 indexed citations
12.
Shen, Jifeng, et al.. (2022). Mask-guided explicit feature modulation for multispectral pedestrian detection. Computers & Electrical Engineering. 103. 108385–108385. 3 indexed citations
13.
Sun, Jun, et al.. (2021). Apple Leaf Disease Recognition and Sub-Class Categorization Based on Improved Multi-Scale Feature Fusion Network. IEEE Access. 9. 95517–95527. 45 indexed citations
14.
Xu, Min, Jun Sun, Kunshan Yao, et al.. (2021). Developing deep learning based regression approaches for prediction of firmness and pH in Kyoho grape using Vis/NIR hyperspectral imaging. Infrared Physics & Technology. 120. 104003–104003. 39 indexed citations
15.
Sun, Jun, et al.. (2018). Nondestructive identification of green tea varieties based on hyperspectral imaging technology. Journal of Food Process Engineering. 41(5). 26 indexed citations
16.
Sun, Jun, et al.. (2018). Recognition of crop seedling and weed recognition based on dilated convolution and global pooling in CNN.. Nongye gongcheng xuebao. 34(11). 159–165. 12 indexed citations
17.
Sun, Jun, Xin Zhou, Xiaohong Wu, et al.. (2018). Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 212. 215–221. 50 indexed citations
18.
Sun, Changyin, et al.. (2011). Face recognition using DT-CWT feature-based 2DIFDA. Chinese Control Conference. 3140–3145. 1 indexed citations
19.
Yuan, Ping, Yinghua Zou, Ling Qiu, et al.. (1994). Ultrafast Time-Resolved Optical Kerr Effect in Phthalocyanine Langmuir-Blodegett Film. Chinese Physics Letters. 11(7). 457–460. 1 indexed citations
20.
Yuan, Ping, et al.. (1994). Ultrafast optical Kerr effect of phthalocyanine. Chemical Physics Letters. 224(1-2). 101–105. 24 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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