Changhong Fu

4.5k total citations · 4 hit papers
94 papers, 3.2k citations indexed

About

Changhong Fu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Changhong Fu has authored 94 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 42 papers in Aerospace Engineering and 26 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Changhong Fu's work include Video Surveillance and Tracking Methods (64 papers), Advanced Vision and Imaging (34 papers) and Fire Detection and Safety Systems (26 papers). Changhong Fu is often cited by papers focused on Video Surveillance and Tracking Methods (64 papers), Advanced Vision and Imaging (34 papers) and Fire Detection and Safety Systems (26 papers). Changhong Fu collaborates with scholars based in China, Singapore and Hong Kong. Changhong Fu's co-authors include Yiming Li, Junjie Ye, Ziyuan Huang, Fuling Lin, Ziang Cao, Fangqiang Ding, Bowen Li, Erdal Kayacan, Geng Lu and Pascual Campoy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Changhong Fu

92 papers receiving 3.1k citations

Hit Papers

AutoTrack: Towards High-Performance Visual Tracking for U... 2019 2026 2021 2023 2020 2019 2021 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changhong Fu China 32 2.6k 1.7k 659 438 345 94 3.2k
Luís Merino Spain 27 1.1k 0.4× 1.3k 0.8× 292 0.4× 386 0.9× 414 1.2× 100 2.6k
Heng Fan United States 19 2.7k 1.1× 875 0.5× 454 0.7× 350 0.8× 214 0.6× 67 3.1k
Fernando Caballero Spain 26 1.1k 0.4× 1.6k 0.9× 197 0.3× 278 0.6× 500 1.4× 86 2.5k
Martin Lauer Germany 22 938 0.4× 635 0.4× 219 0.3× 339 0.8× 276 0.8× 96 2.2k
Anthony Dick Australia 27 3.1k 1.2× 644 0.4× 117 0.2× 1.1k 2.5× 186 0.5× 83 3.6k
Juan Andrade‐Cetto Spain 29 1.3k 0.5× 1.4k 0.8× 64 0.1× 284 0.6× 361 1.0× 111 2.2k
Keni Bernardin Germany 10 1.7k 0.7× 349 0.2× 184 0.3× 501 1.1× 190 0.6× 20 2.1k
Esther Koller-Meier Switzerland 15 2.1k 0.8× 416 0.2× 121 0.2× 555 1.3× 262 0.8× 28 2.4k
Yuankai Qi China 22 1.6k 0.6× 315 0.2× 224 0.3× 589 1.3× 109 0.3× 65 1.9k
Vibhav Vineet United Kingdom 16 2.0k 0.8× 554 0.3× 146 0.2× 261 0.6× 146 0.4× 45 2.3k

Countries citing papers authored by Changhong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Changhong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Changhong Fu. A scholar is included among the top collaborators of Changhong Fu 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 Changhong Fu. Changhong Fu 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.
Fu, Changhong, et al.. (2024). EdgeSnake: A Lightweight Intelligent Modular Snake Robot. 345–352.
2.
Duan, Ran, et al.. (2024). E3-Net: Event-Guided Edge-Enhancement Network for UAV-based Crack Detection. 272–277. 1 indexed citations
3.
Fu, Changhong, et al.. (2023). Scale-Aware Domain Adaptation for Robust UAV Tracking. IEEE Robotics and Automation Letters. 8(6). 3764–3771. 2 indexed citations
4.
Fu, Changhong, et al.. (2022). DeconNet: End-to-End Decontaminated Network for Vision-Based Aerial Tracking. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 26 indexed citations
5.
Ye, Junjie, Changhong Fu, Ziang Cao, et al.. (2022). Tracker Meets Night: A Transformer Enhancer for UAV Tracking. IEEE Robotics and Automation Letters. 7(2). 3866–3873. 52 indexed citations
6.
Li, Bowen, Changhong Fu, Fangqiang Ding, Junjie Ye, & Fuling Lin. (2022). All-Day Object Tracking for Unmanned Aerial Vehicle. IEEE Transactions on Mobile Computing. 22(8). 4515–4529. 57 indexed citations
7.
Zheng, Guangze, et al.. (2022). Scale-Aware Siamese Object Tracking for Vision-Based UAM Approaching. IEEE Transactions on Industrial Informatics. 19(9). 9349–9360. 10 indexed citations
8.
Ye, Junjie, Changhong Fu, Fuling Lin, et al.. (2021). Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization. IEEE Transactions on Industrial Electronics. 69(6). 6004–6014. 67 indexed citations
9.
Fu, Changhong, Ziang Cao, Yiming Li, Junjie Ye, & Chen Feng. (2021). Onboard Real-Time Aerial Tracking With Efficient Siamese Anchor Proposal Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 74 indexed citations
10.
Mi, Chao, et al.. (2021). Vision-Based Measurement: Actualities and Developing Trends in Automated Container Terminals. IEEE Instrumentation & Measurement Magazine. 24(4). 65–76. 46 indexed citations
11.
Fu, Changhong, et al.. (2020). Object Saliency-Aware Dual Regularized Correlation Filter for Real-Time Aerial Tracking. IEEE Transactions on Geoscience and Remote Sensing. 58(12). 8940–8951. 77 indexed citations
12.
Lin, Fuling, Changhong Fu, Yujie He, Fuyu Guo, & Qian Tang. (2020). BiCF: Learning Bidirectional Incongruity-Aware Correlation Filter for Efficient UAV Object Tracking. 2365–2371. 32 indexed citations
13.
Fu, Changhong, et al.. (2020). Disruptor-Aware Interval-Based Response Inconsistency for Correlation Filters in Real-Time Aerial Tracking. IEEE Transactions on Geoscience and Remote Sensing. 59(8). 6301–6313. 40 indexed citations
14.
Fu, Changhong, Bowen Li, Fangqiang Ding, Fuling Lin, & Geng Lu. (2020). Correlation Filter for UAV-Based Aerial Tracking: A Review and Experimental Evaluation.. arXiv (Cornell University). 8 indexed citations
15.
Li, Yiming, Changhong Fu, Fangqiang Ding, Ziyuan Huang, & Geng Lu. (2020). AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization. 11920–11929. 299 indexed citations breakdown →
16.
Fu, Changhong, et al.. (2020). Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking. 6 indexed citations
17.
Fu, Changhong, et al.. (2020). Robust multi-kernelized correlators for UAV tracking with adaptive context analysis and dynamic weighted filters. Neural Computing and Applications. 32(16). 12591–12607. 11 indexed citations
18.
Sarabakha, Andriy, Changhong Fu, & Erdal Kayacan. (2019). Intuit before tuning: Type-1 and type-2 fuzzy logic controllers. Applied Soft Computing. 81. 105495–105495. 28 indexed citations
19.
Luo, Wei, et al.. (2018). Visual Crowd Counting with Improved Inception-ResNet-A Module. absi1602 7261. 112–119. 4 indexed citations
20.
Fu, Changhong, Miguel Olivares-Mendez, Ramón A. Suárez Fernández, & Pascual Campoy. (2014). Monocular visual-inertial SLAM-based collision avoidance strategy for fail-safe UAV using fuzzy logic controllers. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 44 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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