Guangxing Han

710 total citations
11 papers, 427 citations indexed

About

Guangxing Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Guangxing Han has authored 11 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Guangxing Han's work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Guangxing Han is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Guangxing Han collaborates with scholars based in China, United States and India. Guangxing Han's co-authors include Jiawei Ma, Shih-Fu Chang, Shiyuan Huang, Yicheng He, Long Chen, Xuan Zhang, Aram Galstyan, Wael AbdAlmageed, Guo-Bo Zhang and Xuan Zhang and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Guangxing Han

11 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxing Han China 8 303 237 49 49 47 11 427
Wei Zhai China 14 382 1.3× 335 1.4× 55 1.1× 36 0.7× 31 0.7× 42 604
Gongjie Zhang Singapore 11 354 1.2× 181 0.8× 57 1.2× 54 1.1× 93 2.0× 17 498
Jingru Tan China 6 349 1.2× 335 1.4× 67 1.4× 29 0.6× 30 0.6× 10 598
Banghuai Li China 4 247 0.8× 166 0.7× 57 1.2× 49 1.0× 38 0.8× 5 363
Sivan Harary Israel 10 366 1.2× 307 1.3× 60 1.2× 36 0.7× 33 0.7× 10 508
Kaiwen Cui Singapore 10 395 1.3× 163 0.7× 50 1.0× 49 1.0× 87 1.9× 14 538
Xiangru Lin China 9 356 1.2× 197 0.8× 45 0.9× 37 0.8× 18 0.4× 15 456
Zhigang Dai China 5 298 1.0× 161 0.7× 67 1.4× 49 1.0× 26 0.6× 6 431
Aming Wu China 14 526 1.7× 427 1.8× 44 0.9× 50 1.0× 22 0.5× 32 694
Chenxin Tao China 6 246 0.8× 101 0.4× 36 0.7× 63 1.3× 25 0.5× 8 322

Countries citing papers authored by Guangxing Han

Since Specialization
Citations

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

Fields of papers citing papers by Guangxing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxing Han

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

All Works

11 of 11 papers shown
1.
Han, Guangxing, et al.. (2023). One-Shot Unsupervised Cross-Domain Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1339–1351. 9 indexed citations
2.
Han, Guangxing, Jiawei Ma, Shiyuan Huang, Long Chen, & Shih-Fu Chang. (2022). Few-Shot Object Detection with Fully Cross-Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5311–5320. 113 indexed citations
3.
Huang, Shiyuan, Jiawei Ma, Guangxing Han, & Shih-Fu Chang. (2022). Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7161–7170. 26 indexed citations
4.
Han, Guangxing, Shiyuan Huang, Jiawei Ma, Yicheng He, & Shih-Fu Chang. (2022). Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 780–789. 121 indexed citations
5.
Ma, Jiawei, et al.. (2021). Partner-Assisted Learning for Few-Shot Image Classification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10553–10562. 50 indexed citations
6.
Han, Guangxing, Yicheng He, Shiyuan Huang, Jiawei Ma, & Shih-Fu Chang. (2021). Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3243–3252. 78 indexed citations
7.
Han, Guangxing, et al.. (2019). FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN. Durham Research Online (Durham University). 1–6. 2 indexed citations
8.
Han, Guangxing, et al.. (2018). Semi-Supervised DFF. 1811–1819. 11 indexed citations
9.
Han, Guangxing, et al.. (2017). Single shot object detection with top-down refinement. 10 indexed citations
10.
Zhang, Guo-Bo, et al.. (2016). A real-time forward error correction of changing redundant packets' position for video transmission. 3. 755–761. 5 indexed citations
11.
Zhang, Guo-Bo, et al.. (2015). Adaptive Video Streaming Algorithm Based on QoE over Wireless Networks. 12. 1–4. 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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