Jun Jiang

1.6k total citations
81 papers, 1.2k citations indexed

About

Jun Jiang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jun Jiang has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Jun Jiang's work include Medical Image Segmentation Techniques (11 papers), Video Surveillance and Tracking Methods (8 papers) and Brain Tumor Detection and Classification (8 papers). Jun Jiang is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Video Surveillance and Tracking Methods (8 papers) and Brain Tumor Detection and Classification (8 papers). Jun Jiang collaborates with scholars based in China, United States and Japan. Jun Jiang's co-authors include Qianjin Feng, Wufan Chen, Wei Yang, Meiyan Huang, Yao Wu, Yujia Zhou, Mingliang Gao, Jianhua Ma, Wenbing Lv and Arman Rahmim and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Jun Jiang

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Jiang China 17 656 472 327 303 153 81 1.2k
Xieping Gao China 22 933 1.4× 321 0.7× 529 1.6× 556 1.8× 157 1.0× 131 1.9k
Junding Sun China 18 612 0.9× 358 0.8× 462 1.4× 320 1.1× 143 0.9× 90 1.5k
Yi Ding China 24 1.1k 1.6× 484 1.0× 497 1.5× 443 1.5× 228 1.5× 125 2.0k
Reza Azad Germany 11 635 1.0× 253 0.5× 441 1.3× 480 1.6× 195 1.3× 28 1.4k
Yuqian Zhao China 20 664 1.0× 96 0.2× 264 0.8× 296 1.0× 162 1.1× 99 1.2k
Liansheng Wang China 25 723 1.1× 218 0.5× 606 1.9× 561 1.9× 316 2.1× 112 1.7k
Yuqing Song China 21 597 0.9× 101 0.2× 358 1.1× 279 0.9× 119 0.8× 138 1.3k
Chenyu You United States 20 1.0k 1.5× 218 0.5× 757 2.3× 828 2.7× 387 2.5× 53 2.2k
Syamsiah Mashohor Malaysia 22 1.0k 1.6× 300 0.6× 623 1.9× 718 2.4× 167 1.1× 96 1.9k
Huisi Wu China 20 860 1.3× 153 0.3× 557 1.7× 497 1.6× 142 0.9× 76 1.6k

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jiang. A scholar is included among the top collaborators of Jun 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 Jun Jiang. Jun 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.
Deng, Fengru, Chunyan Yao, Mi Huang, et al.. (2025). Emerging threat to antibiotic resistance: Impact of mycotoxin deoxynivalenol on gut microbiota and clonal expansion of extensively drug-resistant enterococci. Environment International. 197. 109353–109353. 2 indexed citations
2.
Sun, Guolin, et al.. (2024). FedCruise: Collaborative Cruise Guidance With Federated Policy Distillation in Multiple Ride-Hailing Platforms. IEEE Internet of Things Journal. 12(7). 8873–8884.
3.
Zhao, Yiqing, Anastasios Dimou, Zachary C. Fogarty, et al.. (2024). Real-world Trends, Rural-urban Differences, and Socioeconomic Disparities in Utilization of Narrow versus Broad Next-generation Sequencing Panels. Cancer Research Communications. 4(2). 303–311. 2 indexed citations
4.
Jiang, Jun, et al.. (2023). Underwater Image Enhancement Based on Shallow Underwater Neural Network. 341–345. 1 indexed citations
5.
Jiang, Jun, et al.. (2023). Generation of high-speed PAM-4 signal with 3-bit DAC enabled by CRD-NS in optical interconnect. Optics Express. 31(13). 21153–21153. 3 indexed citations
6.
Jiang, Jun, et al.. (2023). Predictive factors for open reduction of operatively treated radial neck fractures in children. Injury. 54(12). 111169–111169. 2 indexed citations
7.
Li, Chongyi, Chunle Guo, Ling-Hao Han, et al.. (2021). Lighting the Darkness in the Deep Learning Era.. arXiv (Cornell University). 4 indexed citations
8.
Pang, Shumao, Qianjin Feng, Zhentai Lu, et al.. (2019). Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. IEEE Transactions on Medical Imaging. 38(10). 2271–2280. 24 indexed citations
9.
Jiang, Jun, Nicholas B. Larson, Naresh Prodduturi, Thomas J. Flotte, & Steven N. Hart. (2019). Robust hierarchical density estimation and regression for re-stained histological whole slide image co-registration. PLoS ONE. 14(7). e0220074–e0220074. 13 indexed citations
10.
Zhao, Lijun, Zixiao Lu, Jun Jiang, et al.. (2019). Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images. Journal of Digital Imaging. 32(3). 462–470. 51 indexed citations
11.
He, Gang, et al.. (2019). Shape optimization of a flexible beam with a local shape feature based on ANCF. Journal of Advanced Mechanical Design Systems and Manufacturing. 13(3). JAMDSM0059–JAMDSM0059. 6 indexed citations
12.
Pang, Shumao, Jun Jiang, Zhentai Lu, et al.. (2017). Hippocampus Segmentation Based on Local Linear Mapping. Scientific Reports. 7(1). 45501–45501. 14 indexed citations
13.
Jiang, Jun, Weige Zhang, Wei Shi, Caiping Zhang, & Bingxiang Sun. (2016). Research on series connected lithium-ion battery pack simulation. 40(12). 2456. 2 indexed citations
14.
Cheng, Jun, Wei Yang, Meiyan Huang, et al.. (2016). Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation. PLoS ONE. 11(6). e0157112–e0157112. 204 indexed citations
15.
Lu, Lijun, Wenbing Lv, Jun Jiang, et al.. (2016). Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization. Molecular Imaging and Biology. 18(6). 935–945. 103 indexed citations
16.
Huang, Meiyan, Wei Yang, Yao Wu, et al.. (2014). Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images. PLoS ONE. 9(7). e102754–e102754. 31 indexed citations
17.
Jiang, Jun, Yao Wu, Meiyan Huang, et al.. (2013). 3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets. Computerized Medical Imaging and Graphics. 37(7-8). 512–521. 73 indexed citations
18.
Jiang, Jun, Jun Cheng, Ying Zhou, & Guang Chen. (2011). Clustering-driven residue filter for profile measurement system. Journal of the Optical Society of America A. 28(2). 214–214. 3 indexed citations
19.
Jiang, Jun, et al.. (2010). Unsupervised-clustering-driven noise-residue filter for phase images. Applied Optics. 49(11). 2143–2143. 6 indexed citations
20.
Zhang, Yanbin, Jun Jiang, Jing Chen, et al.. (2002). The crustal micro-deformation anomaly and the credible precursor. Acta Seismologica Sinica. 15(1). 113–118. 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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