Faliang Chang

2.6k total citations
104 papers, 1.8k citations indexed

About

Faliang Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Faliang Chang has authored 104 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Faliang Chang's work include Video Surveillance and Tracking Methods (31 papers), Advanced Neural Network Applications (18 papers) and Anomaly Detection Techniques and Applications (17 papers). Faliang Chang is often cited by papers focused on Video Surveillance and Tracking Methods (31 papers), Advanced Neural Network Applications (18 papers) and Anomaly Detection Techniques and Applications (17 papers). Faliang Chang collaborates with scholars based in China, Singapore and United States. Faliang Chang's co-authors include Chunsheng Liu, Nanjun Li, Wencheng Wang, Zhenxue Chen, Shuang Li, Zijian Zhao, Chengyun Liu, Yinhai Wang, Wenqian Wang and Guoyou Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Faliang Chang

95 papers receiving 1.7k citations

Peers

Faliang Chang

CVPR

CNC

Mohamed Shehata Canada

Bing‐Fei Wu Taiwan

Mohammed Hossny Australia

Xin Yang China

Bingwei He China

Duan-Yu Chen Taiwan

Hélder Araújo Portugal

Yongming Rao China

Kai‐Tai Song Taiwan

David Menotti Brazil

Mohamed Shehata Canada

Faliang Chang

822 ×0.7

CVPR

241 ×0.5

544 ×1.2

305 ×1.1

212 ×1.0

CNC

Citations per year, relative to Faliang Chang Faliang Chang (= 1×) peers Mohamed Shehata

Countries citing papers authored by Faliang Chang

Since Specialization

Citations

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

Fields of papers citing papers by Faliang Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faliang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Faliang Chang. A scholar is included among the top collaborators of Faliang Chang 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 Faliang Chang. Faliang Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Chunsheng, et al.. (2025). Hierarchical Diffusion Policy: Manipulation Trajectory Generation via Contact Guidance. IEEE Transactions on Robotics. 41. 2086–2104.

Liu, Hui, et al.. (2024). Long–Short Observation-driven Prediction Network for pedestrian crossing intention prediction with momentary observation. Neurocomputing. 614. 128824–128824.

Liu, Hui, et al.. (2024). Egocentric Vulnerable Road Users Trajectory Prediction With Incomplete Observation. IEEE Transactions on Intelligent Transportation Systems. 25(10). 13694–13705. 1 indexed citations

Wang, Bin, et al.. (2024). An efficient motion visual learning method for video action recognition. Expert Systems with Applications. 255. 124596–124596. 6 indexed citations

Liu, Chunsheng, et al.. (2024). Dual-Attention-Guided Traffic Event Video Classification Network. 149–153. 1 indexed citations

Liu, Chunsheng, et al.. (2024). Multi-Stage Reinforcement Learning for Non-Prehensile Manipulation. IEEE Robotics and Automation Letters. 9(7). 6712–6719. 6 indexed citations

Li, Nanjun, Faliang Chang, & Chunsheng Liu. (2023). Human-related anomalous event detection via memory-augmented Wasserstein generative adversarial network with gradient penalty. Pattern Recognition. 138. 109398–109398. 11 indexed citations

Liu, Chunsheng, et al.. (2023). JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos. IEEE Transactions on Intelligent Transportation Systems. 24(11). 11850–11863. 19 indexed citations

Zhao, Zijian, et al.. (2021). Automatic Report Generation for Chest X-Ray Images via Adversarial Reinforcement Learning. IEEE Access. 9. 21236–21250. 25 indexed citations

10.

Zhao, Zijian, et al.. (2021). CLCU-Net: Cross-level connected U-shaped network with selective feature aggregation attention module for brain tumor segmentation. Computer Methods and Programs in Biomedicine. 207. 106154–106154. 35 indexed citations

11.

Liu, Chunsheng, et al.. (2021). Adaptive multi-level feature fusion and attention-based network for arbitrary-oriented object detection in remote sensing imagery. Neurocomputing. 451. 67–80. 39 indexed citations

12.

Wang, Wenqian, et al.. (2021). GA-Net: A Guidance Aware Network for Skeleton-Based Early Activity Recognition. IEEE Transactions on Multimedia. 25. 1061–1073. 9 indexed citations

13.

Li, Nanjun, Faliang Chang, & Chunsheng Liu. (2021). Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network. Neurocomputing. 490. 482–494. 15 indexed citations

14.

Zhao, Zijian, et al.. (2020). Real-Time Surgical Tool Detection in Minimally Invasive Surgery Based on Attention-Guided Convolutional Neural Network. IEEE Access. 8. 228853–228862. 34 indexed citations

15.

Chang, Faliang, et al.. (2019). Bearing Fault Classification Based on Convolutional Neural Network in Noise Environment. IEEE Access. 7. 69795–69807. 67 indexed citations

16.

Zhang, Junwei, et al.. (2018). Fault Diagnosis Method Based on MFCC Fusion and SVM. 1617–1622. 13 indexed citations

17.

Liu, Chunsheng, Faliang Chang, Zhenxue Chen, & Dongmei Liu. (2015). Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation. IEEE Transactions on Intelligent Transportation Systems. 17(1). 79–92. 57 indexed citations

18.

Li, Xiaolin, et al.. (2015). Topology Learning of Non-overlapping Multi-camera Network. International Journal of Signal Processing Image Processing and Pattern Recognition. 8(11). 243–254. 2 indexed citations

19.

Liu, Chengyu, Tao Zhuang, Lina Zhao, et al.. (2014). Modelling Arterial Pressure Waveforms Using Gaussian Functions and Two-Stage Particle Swarm Optimizer. BioMed Research International. 2014. 1–10. 12 indexed citations

20.

Wang, Wencheng, Faliang Chang, Tao Ji, & Guo‐Qiang Zhang. (2011). Fusion of Multi-focus Images Based on the 2-Generation Curvelet Transform. International Journal of Digital Content Technology and its Applications. 5(1). 32–42. 8 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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