Fuxiang Wu

618 total citations
24 papers, 410 citations indexed

About

Fuxiang Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Fuxiang Wu has authored 24 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Fuxiang Wu's work include Multimodal Machine Learning Applications (8 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). Fuxiang Wu is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). Fuxiang Wu collaborates with scholars based in China, Hong Kong and Australia. Fuxiang Wu's co-authors include Jun Cheng, Lei Wang, Jin Zhang, Bo Wei, Qieshi Zhang, Dapeng Tao, Syed Wajid Ali Shah, Hui Huang, Fusheng Hao and MengChu Zhou and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Fuxiang Wu

19 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuxiang Wu China 8 262 129 79 64 59 24 410
Tomasz Marciniak Poland 10 181 0.7× 64 0.5× 98 1.2× 40 0.6× 75 1.3× 84 389
Sébastien Ambellouis France 10 175 0.7× 94 0.7× 101 1.3× 61 1.0× 17 0.3× 29 322
Sven Fleck Germany 10 301 1.1× 73 0.6× 27 0.3× 24 0.4× 17 0.3× 21 353
Yepeng Guan China 13 305 1.2× 35 0.3× 83 1.1× 30 0.5× 40 0.7× 71 443
Yoshiki Mizukami Japan 10 258 1.0× 22 0.2× 35 0.4× 79 1.2× 55 0.9× 25 358
Rui Yu China 12 342 1.3× 48 0.4× 59 0.7× 84 1.3× 11 0.2× 32 450
Thomas Haenselmann Germany 12 167 0.6× 237 1.8× 22 0.3× 15 0.2× 93 1.6× 43 470
Chung-Lin Huang Taiwan 12 495 1.9× 25 0.2× 79 1.0× 60 0.9× 144 2.4× 29 566
Chen-Kuo Chiang Taiwan 11 255 1.0× 16 0.1× 74 0.9× 27 0.4× 77 1.3× 46 332

Countries citing papers authored by Fuxiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fuxiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuxiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fuxiang Wu. A scholar is included among the top collaborators of Fuxiang Wu 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 Fuxiang Wu. Fuxiang Wu 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.
Hao, Fusheng, Liu Liu, Fuxiang Wu, Qieshi Zhang, & Jun Cheng. (2024). Class-Irrelevant Feature Removal for Few-Shot Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9577–9591.
2.
Cheng, Jun, et al.. (2024). PSMD-SLAM: Panoptic Segmentation-Aided Multi-Sensor Fusion Simultaneous Localization and Mapping in Dynamic Scenes. Applied Sciences. 14(9). 3843–3843. 3 indexed citations
3.
Cheng, Jun, Fuxiang Wu, Liu Liu, et al.. (2023). InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Transactions on Multimedia. 25. 8279–8293.
4.
Hao, Fusheng, Fengxiang He, Liu Liu, et al.. (2023). Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. 18859–18869. 27 indexed citations
5.
Hao, Fusheng, et al.. (2023). Semantic-Aware Feature Aggregation for Few-Shot Image Classification. Neural Processing Letters. 55(5). 6595–6609.
6.
Hao, Fusheng, et al.. (2023). Two-stage feature distribution rectification for few-shot point cloud semantic segmentation. Pattern Recognition Letters. 177. 142–149. 1 indexed citations
7.
Zhang, Qieshi, et al.. (2023). Prototype expansion and feature calibration for few-shot point cloud semantic segmentation. Neurocomputing. 558. 126732–126732. 3 indexed citations
8.
Wu, Fuxiang, Liu Liu, Fusheng Hao, Fengxiang He, & Jun Cheng. (2022). Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Transactions on Multimedia. 25. 6219–6231. 3 indexed citations
9.
Wu, Fuxiang, Liu Liu, Fusheng Hao, Fengxiang He, & Jun Cheng. (2022). Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18092–18101. 8 indexed citations
10.
Cheng, Jun, et al.. (2021). RiFeGAN2: Rich Feature Generation for Text-to-Image Synthesis From Constrained Prior Knowledge. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5187–5200. 25 indexed citations
11.
Zhang, Qieshi, et al.. (2021). Attention Mechanism-based Monocular Depth Estimation and Visual Odometry. 38. 951–956. 1 indexed citations
12.
Zhang, Jin, Fuxiang Wu, Bo Wei, et al.. (2020). Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal. IEEE Internet of Things Journal. 8(6). 4628–4641. 130 indexed citations
13.
Zhao, Zheng, et al.. (2019). Dust deposition law of ventilation dust removal pipeline based on a high precision deposition thickness detection method. 44(6). 1780–1785.
14.
Peng, Xiang, Lei Wang, Fuxiang Wu, Jun Cheng, & MengChu Zhou. (2019). Single-Image De-Raining With Feature-Supervised Generative Adversarial Network. IEEE Signal Processing Letters. 26(5). 650–654. 42 indexed citations
15.
Zhang, Qieshi, et al.. (2019). Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems. IEEE Access. 7. 185179–185188. 12 indexed citations
16.
Wu, Fuxiang, et al.. (2019). WiEnhance: Towards Data Augmentation in Human Activity Recognition Using WiFi Signal. 309–314. 7 indexed citations
17.
Wu, Fuxiang, et al.. (2018). Semantic Map and Grammaticalization. 42. 351–378.
18.
Wu, Fuxiang. (2017). Dependency Parsing with Transformed Feature. Information. 8(1). 13–13. 1 indexed citations
19.
Zhang, Zhengchen, Fuxiang Wu, Chenyu Yang, Minghui Dong, & Fugen Zhou. (2016). Mandarin Prosodic Phrase Prediction based on Syntactic Trees. 160–165. 4 indexed citations
20.
Zhang, Zhengchen, Fuxiang Wu, Minghui Dong, & Fugen Zhou. (2015). Mandarin prosodic word prediction using dependency relationships. 3. 173–176. 1 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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