Linfeng Jiang

512 total citations
32 papers, 353 citations indexed

About

Linfeng Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Linfeng Jiang has authored 32 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Linfeng Jiang's work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Linfeng Jiang is often cited by papers focused on Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Linfeng Jiang collaborates with scholars based in China, Sweden and United Kingdom. Linfeng Jiang's co-authors include Huilin Xiong, Tao Zhang, Jinsheng Ji, Hanguang Xiao, Ruihua Liu, Guangjian Zhang, Hui Liu, Hong Zhu, Ting Xie and Ting Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Linfeng Jiang

31 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linfeng Jiang China 12 193 73 67 49 45 32 353
Zeyu Wang China 11 180 0.9× 27 0.4× 181 2.7× 60 1.2× 14 0.3× 48 484
Hala M. Ebied Egypt 11 191 1.0× 49 0.7× 105 1.6× 29 0.6× 14 0.3× 50 385
Jianjun Li China 7 188 1.0× 123 1.7× 28 0.4× 42 0.9× 35 0.8× 57 357
Chuan Wang China 14 368 1.9× 31 0.4× 60 0.9× 32 0.7× 45 1.0× 32 579
Lingyan Ran China 8 152 0.8× 104 1.4× 71 1.1× 23 0.5× 63 1.4× 26 308
Ruohan Zhang China 8 150 0.8× 57 0.8× 32 0.5× 32 0.7× 5 0.1× 29 318
Omar M. Fahmy Egypt 10 193 1.0× 55 0.8× 70 1.0× 119 2.4× 37 0.8× 48 386
Himanshu Sharma India 9 54 0.3× 44 0.6× 52 0.8× 47 1.0× 18 0.4× 25 331
Elena González Spain 12 236 1.2× 32 0.4× 86 1.3× 23 0.5× 6 0.1× 27 399
Lang Huang China 8 478 2.5× 224 3.1× 58 0.9× 82 1.7× 36 0.8× 16 629

Countries citing papers authored by Linfeng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Linfeng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linfeng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Linfeng Jiang. A scholar is included among the top collaborators of Linfeng Jiang 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 Linfeng Jiang. Linfeng Jiang 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.
Li, Xiaoyong, Qing Jiang, Linfeng Jiang, Shuo Zhang, & Siyuan Hu. (2025). The Landscape of AI Alignment: A Comprehensive Review of Theories and Methods. International Journal of Pattern Recognition and Artificial Intelligence. 40(3).
2.
Jiang, Linfeng, et al.. (2025). Improved SwinUNet with fusion transformer and large kernel convolutional attention for liver and tumor segmentation in CT images. Scientific Reports. 15(1). 14286–14286. 1 indexed citations
3.
Jiang, Linfeng, et al.. (2024). ResTransUnet: An effective network combined with Transformer and U-Net for liver segmentation in CT scans. Computers in Biology and Medicine. 177. 108625–108625. 11 indexed citations
4.
Jiang, Linfeng, et al.. (2023). RMAU-Net: Residual Multi-Scale Attention U-Net For liver and tumor segmentation in CT images. Computers in Biology and Medicine. 158. 106838–106838. 45 indexed citations
5.
Jiang, Linfeng, et al.. (2023). Highly selective monoclonal antibody-based fluorescence immunochromatographic assay for the detection of fenpropathrin in vegetable and fruit samples. Analytica Chimica Acta. 1246. 340898–340898. 21 indexed citations
6.
7.
Peng, Cheng, Linfeng Jiang, Ke Liang, et al.. (2022). Carboxylated fluorescent microsphere based immunochromatographic test strip enabled sensitive and quantitative on-site detection for florfenicol in eggs. Journal of Pharmaceutical and Biomedical Analysis. 219. 114946–114946. 6 indexed citations
8.
Liu, Jie, et al.. (2022). Deep Learning for Clustering Single-cell RNA-seq Data. Current Bioinformatics. 19(3). 193–210. 3 indexed citations
9.
Jiang, Linfeng, Hui Liu, Hong Zhu, & Guangjian Zhang. (2022). Improved YOLO v5 with balanced feature pyramid and attention module for traffic sign detection. SHILAP Revista de lepidopterología. 355. 3023–3023. 28 indexed citations
10.
Jiang, Linfeng, et al.. (2022). DS-UNeXt: depthwise separable convolution network with large convolutional kernel for medical image segmentation. Signal Image and Video Processing. 17(5). 1775–1783. 24 indexed citations
11.
12.
Zhang, Tao, et al.. (2019). Discriminative representation learning for person re-identification via multi-loss training. Journal of Visual Communication and Image Representation. 62. 267–278. 9 indexed citations
13.
Ji, Jinsheng, et al.. (2019). Combining Multilevel Features for Remote Sensing Image Scene Classification With Attention Model. IEEE Geoscience and Remote Sensing Letters. 17(9). 1647–1651. 38 indexed citations
14.
Jiang, Linfeng, et al.. (2019). Combining multilevel feature extraction and multi-loss learning for person re-identification. Neurocomputing. 334. 68–78. 20 indexed citations
15.
Zhang, Tao, Linfeng Jiang, Deliang Xiang, et al.. (2019). Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter. ISPRS Journal of Photogrammetry and Remote Sensing. 157. 41–58. 29 indexed citations
16.
17.
Jiang, Linfeng, et al.. (2018). Weakly Supervised Learning of Object-Part Attention Model for Fine-Grained Image Classification. 11. 1222–1226. 5 indexed citations
18.
Jiang, Linfeng, et al.. (2018). Person Tracking and Frontal Face Capture with UAV. 1412–1416. 16 indexed citations
19.
Jiang, Linfeng, et al.. (2018). Exploiting context based on CNN and coding representations for pedestrian co-detection. Multimedia Tools and Applications. 79(7-8). 4277–4296. 4 indexed citations
20.
Jiang, Linfeng, et al.. (2007). [Inhibitory effect of siRNA on heparanase expression and invasion ability of gastric cancer cells: an in vitro experiment].. PubMed. 87(24). 1717–20. 1 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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