Fusheng Hao

673 total citations
21 papers, 469 citations indexed

About

Fusheng Hao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fusheng Hao has authored 21 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fusheng Hao's work include Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Fusheng Hao is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Fusheng Hao collaborates with scholars based in China, Hong Kong and Australia. Fusheng Hao's co-authors include Jun Cheng, Dacheng Tao, Fengxiang He, Murali Kodialam, Haoyu Song, T. V. Lakshman, Lei Wang, Jianzhong Cao, Qieshi Zhang and Liu Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, British Journal of Pharmacology and IEEE Access.

In The Last Decade

Fusheng Hao

17 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fusheng Hao China 11 247 220 108 76 49 21 469
Jin Qi China 13 100 0.4× 218 1.0× 23 0.2× 7 0.1× 74 1.5× 53 478
Ken Martin United States 9 28 0.1× 110 0.5× 39 0.4× 17 0.2× 33 0.7× 17 265
Wiebe Van Ranst Belgium 6 310 1.3× 222 1.0× 24 0.2× 36 0.5× 7 0.1× 11 472
Minghui Yang China 9 110 0.4× 59 0.3× 39 0.4× 23 0.3× 10 0.2× 25 278
Ranjie Duan China 5 312 1.3× 155 0.7× 14 0.1× 50 0.7× 15 0.3× 7 405
Benteng Ma China 8 185 0.7× 111 0.5× 15 0.1× 5 0.1× 20 0.4× 20 322
Philipp Benz South Korea 11 241 1.0× 252 1.1× 25 0.2× 12 0.2× 22 0.4× 12 447
Kaidi Cao United States 10 184 0.7× 364 1.7× 9 0.1× 13 0.2× 12 0.2× 18 519
Xiaobing Zhang China 12 119 0.5× 87 0.4× 84 0.8× 11 0.1× 14 0.3× 36 298

Countries citing papers authored by Fusheng Hao

Since Specialization
Citations

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

Fields of papers citing papers by Fusheng Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fusheng Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Fusheng Hao. A scholar is included among the top collaborators of Fusheng Hao 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 Fusheng Hao. Fusheng Hao 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.
Zhang, Qieshi, et al.. (2023). Distilled representation using patch-based local-to-global similarity strategy for visual place recognition. Knowledge-Based Systems. 280. 111015–111015. 6 indexed citations
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, Fusheng Hao, Liu Liu, & Dacheng Tao. (2022). Imposing Semantic Consistency of Local Descriptors for Few-Shot Learning. IEEE Transactions on Image Processing. 31. 1587–1600. 31 indexed citations
11.
Cheng, Jun, et al.. (2021). Cross-Modality Compensation Convolutional Neural Networks for RGB-D Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 1498–1509. 41 indexed citations
12.
Cheng, Jun, Fusheng Hao, Fengxiang He, Liu Liu, & Qieshi Zhang. (2021). Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Transactions on Multimedia. 25. 191–202. 15 indexed citations
13.
Hao, Fusheng, Fengxiang He, Jun Cheng, & Dacheng Tao. (2021). Global-Local Interplay in Semantic Alignment for Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4351–4363. 35 indexed citations
14.
15.
Hao, Fusheng, Jun Cheng, Lei Wang, & Jianzhong Cao. (2019). Instance-Level Embedding Adaptation for Few-Shot Learning. IEEE Access. 7. 100501–100511. 12 indexed citations
16.
Cheng, Jun, et al.. (2019). Embedded adaptive cross-modulation neural network for few-shot learning. Neural Computing and Applications. 32(10). 5505–5515. 16 indexed citations
17.
Hao, Fusheng, et al.. (2016). Real time H.264 high definition videos encoding based on TMS320DM368 and a video quality evaluation framework. Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics). 128–132. 1 indexed citations
18.
Song, Haoyu, Fusheng Hao, Murali Kodialam, & T. V. Lakshman. (2009). IPv6 Lookups using Distributed and Load Balanced Bloom Filters for 100Gbps Core Router Line Cards. 2518–2526. 110 indexed citations
19.
Zhang, Hao, et al.. (2008). Induction of BAG2 protein during proteasome inhibitor‐induced apoptosis in thyroid carcinoma cells. British Journal of Pharmacology. 155(5). 655–660. 34 indexed citations
20.
Hao, Fusheng, Ioanis Nikolaidis, & Ellen Zegura. (2002). Efficient simulation of ATM networks with accurate end-to-end delay statistics. 3. 1799–1804. 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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