Jiantao Qu

707 total citations · 1 hit paper
26 papers, 549 citations indexed

About

Jiantao Qu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jiantao Qu has authored 26 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Jiantao Qu's work include Remote-Sensing Image Classification (6 papers), Advanced Image Fusion Techniques (5 papers) and Image Enhancement Techniques (4 papers). Jiantao Qu is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Advanced Image Fusion Techniques (5 papers) and Image Enhancement Techniques (4 papers). Jiantao Qu collaborates with scholars based in China, United States and Canada. Jiantao Qu's co-authors include Feng Liu, Jiaming Fan, Yuxiang Ma, Qiqiang Chen, Wei Huang, Ming Ju, Guanyi Li, Jianping Fan, Wei Huang and Yuan Cao and has published in prestigious journals such as IEEE Access, Remote Sensing and Applied Sciences.

In The Last Decade

Jiantao Qu

20 papers receiving 526 citations

Hit Papers

A Neural-Network-Based Method for RUL Prediction and SOH ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Jiantao Qu
Lei Dai China
Min-Chul Lee South Korea
Yonghwan Jeong South Korea
Seok-Cheol Kee South Korea
Jiantao Qu
Citations per year, relative to Jiantao Qu Jiantao Qu (= 1×) peers Yunfeng Yan

Countries citing papers authored by Jiantao Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jiantao Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiantao Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiantao Qu. A scholar is included among the top collaborators of Jiantao Qu 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 Jiantao Qu. Jiantao Qu 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.
Asif, Sohaib, Tingting Qian, Jun Yao, et al.. (2025). MultiResFF‐Net: Multilevel Residual Block‐Based Lightweight Feature Fused Network With Attention for Gastrointestinal Disease Diagnosis. International Journal of Intelligent Systems. 2025(1).
2.
Qu, Jiantao, et al.. (2023). Shifted Window SegFormer For Remote Sensing Image Segmentation. 117–121.
3.
Qu, Jiantao, et al.. (2023). Defect Recognition in Ballastless Track Structures Based on Distributed Acoustic Sensors. Applied Sciences. 13(17). 9663–9663. 1 indexed citations
4.
5.
Huang, Wei, et al.. (2022). Multibranch 3D-Dense Attention Network for Hyperspectral Image Classification. IEEE Access. 10. 71886–71898. 14 indexed citations
6.
Qu, Jiantao, et al.. (2022). Differential Strategy-Based Multi-Level Dense Network for Pansharpening. Remote Sensing. 14(10). 2347–2347. 2 indexed citations
7.
Qu, Jiantao, et al.. (2022). Distributed Acoustic Sensor Signal Denoising Method Based On CEEMDAN-MPE. 371–374. 1 indexed citations
8.
Huang, Wei, Guanyi Li, Qiqiang Chen, Ming Ju, & Jiantao Qu. (2021). CF2PN: A Cross-Scale Feature Fusion Pyramid Network Based Remote Sensing Target Detection. Remote Sensing. 13(5). 847–847. 77 indexed citations
9.
Li, Runmei, et al.. (2021). Rail transit fault text classification based on the latent dirichlet allocation. 1359–1364. 3 indexed citations
10.
Qu, Jiantao, Feng Liu, & Yuxiang Ma. (2021). A dual encoder DAE neural network for imbalanced binary classification based on NSGA-III and GAN. Pattern Analysis and Applications. 25(1). 17–34. 3 indexed citations
11.
Qu, Jiantao, et al.. (2021). Road Damage Detection and Classification based on Multi-level Feature Pyramids. KSII Transactions on Internet and Information Systems. 15(2). 11 indexed citations
12.
Liu, Feng, et al.. (2020). A^2DTEL. 73–76.
13.
Qu, Jiantao, Feng Liu, Yuxiang Ma, & Jiaming Fan. (2020). Temporal-Spatial Collaborative Prediction for LTE-R Communication Quality Based on Deep Learning. IEEE Access. 8. 94817–94832. 9 indexed citations
15.
Liu, Feng, et al.. (2019). A Bayesian-based Self-Diagnosis Approach for Alarm Prognosis in Communication Networks. 29. 1–3. 3 indexed citations
16.
Qu, Jiantao, Feng Liu, Yuxiang Ma, & Jiaming Fan. (2019). A Neural-Network-Based Method for RUL Prediction and SOH Monitoring of Lithium-Ion Battery. IEEE Access. 7. 87178–87191. 296 indexed citations breakdown →
17.
Qu, Jiantao, et al.. (2019). Denoising algorithm of Φ_OTDR signal based on clear iterative EMD interval-thresholding. Optics Communications. 453. 124352–124352. 20 indexed citations
18.
Qu, Jiantao, et al.. (2018). Depth Image Enhancement Algorithm Based on RGB Image Fusion. 111–114. 2 indexed citations
19.
Qu, Jiantao, et al.. (2018). A method for CIR fault diagnosis based on improved tri-training in big data environment. 213–218. 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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