Hui Wu

3.3k total citations · 2 hit papers
57 papers, 2.2k citations indexed

About

Hui Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hui Wu has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Hui Wu's work include Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (8 papers) and Image Retrieval and Classification Techniques (7 papers). Hui Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (8 papers) and Image Retrieval and Classification Techniques (7 papers). Hui Wu collaborates with scholars based in China, United States and Poland. Hui Wu's co-authors include Yingying Chen, Kun Yang, Jun Qin, Wenjun Tang, Changgui Lin, Keyou You, Rogério Feris, Marc Ph. Stoecklin, Heqing Huang and Jialong Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and IEEE Access.

In The Last Decade

Hui Wu

54 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review

2013 938 citations Kun Yang, Hui Wu et al. Global and Planetary Change profile →
Protecting Intellectual Property of Deep Neural Networks with Watermarking

2018 277 citations Hui Wu et al. profile →

Peers

Hui Wu

AS

CVPR

GPC

AI

WST

Peng Liu China

Imed Riadh Farah Tunisia

Alim Samat China

Linlin Xu Canada

Wei Feng China

Genyun Sun China

Takis Kasparis United States

Peng Ren China

Li Xiang China

Peng Liu China

Hui Wu

406 ×0.5

AS

564 ×0.9

CVPR

339 ×0.6

GPC

477 ×1.0

AI

85 ×0.4

WST

Citations per year, relative to Hui Wu Hui Wu (= 1×) peers Peng Liu

Countries citing papers authored by Hui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wu, Hui, Min Wang, Wengang Zhou, Zhenbo Lu, & Houqiang Li. (2023). Asymmetric Feature Fusion for Image Retrieval. 11082–11092. 5 indexed citations

2.

Wu, Hui, Min Wang, Wengang Zhou, Houqiang Li, & Qi Tian. (2022). Contextual Similarity Distillation for Asymmetric Image Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9479–9488. 21 indexed citations

3.

Zhang, Xiaoye, Zhiwen Xie, & Hui Wu. (2021). Mobile Robot Full Ergodic Path Planning Algorithm for Power Equipment Fault Detection. Journal of Physics Conference Series. 1961(1). 12073–12073. 2 indexed citations

4.

Wu, Hui, et al.. (2020). A Design Flow for Click-Based Asynchronous Circuits Design With Conventional EDA Tools. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(11). 2421–2425. 13 indexed citations

5.

Guo, Xiaoxiao, Hui Wu, Yupeng Gao, Steven J. Rennie, & Rogério Feris. (2019). The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback.. arXiv (Cornell University). 17 indexed citations

6.

Guo, Xiaoxiao, Hui Wu, Yu Cheng, et al.. (2018). Dialog-based Interactive Image Retrieval. arXiv (Cornell University). 31. 678–688. 23 indexed citations

7.

Wu, Hui, Shiji Song, Keyou You, & Cheng Wu. (2018). Depth Control of Model-Free AUVs via Reinforcement Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 49(12). 2499–2510. 121 indexed citations

8.

Wu, Hui, et al.. (2018). Learn to Sense: a Meta-learning Based Distributed Sensing Algorithm in Wireless Sensor Networks. 2634. 1–6.

9.

Wu, Hui, Shiji Song, Keyou You, & Cheng Wu. (2017). Neural-network-based deterministic policy gradient for depth control of AUVs. 839–844. 2 indexed citations

10.

Bhattacharjee, Bishwaranjan, et al.. (2017). Distributed learning of deep feature embeddings for visual recognition tasks. IBM Journal of Research and Development. 61(4/5). 4:1–4:8. 3 indexed citations

11.

Wu, Hui, Toan T. Huynh, & Richard Souvenir. (2016). Phase-aware echocardiogram stabilization using keyframes. Medical Image Analysis. 35. 172–180. 1 indexed citations

12.

Wang, Baohua, et al.. (2016). Semi-Supervised Recursive Autoencoders for Social Review Spam Detection. 11 indexed citations

13.

Wu, Hui, Toan T. Huynh, & Richard Souvenir. (2015). Echocardiogram enhancement using supervised manifold denoising. Medical Image Analysis. 24(1). 41–51. 7 indexed citations

14.

Wu, Hui, et al.. (2015). An automatic video text detection method based on BP-adaboost. Multimedia Tools and Applications. 75(13). 7715–7738. 4 indexed citations

15.

Wu, Hui, Hui Zhang, Jinfang Zhang, & Fanjiang Xu. (2015). Fast aircraft detection in satellite images based on convolutional neural networks. 4210–4214. 58 indexed citations

16.

Zhang, Zhaoyang, Hui Wu, Huazi Zhang, Huaiyu Dai, & Nei Kato. (2015). Virtual-MIMO-Boosted Information Propagation on Highways. IEEE Transactions on Wireless Communications. 15(2). 1420–1431. 13 indexed citations

17.

Wu, Hui, Toan T. Huynh, & Richard Souvenir. (2014). Motion factorization for echocardiogram classification. 445–448. 3 indexed citations

18.

Yang, Kun, Hui Wu, Jun Qin, et al.. (2013). Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review. Global and Planetary Change. 112. 79–91. 938 indexed citations breakdown →

19.

Wu, Hui. (2009). Research on Key Issues of Vision-Based Gesture Interfaces. 3 indexed citations

20.

Yang, Jie, et al.. (2006). Sweep fingerprint sequence reconstruction for portable devices. Electronics Letters. 42(4). 204–205. 4 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.

Explore authors with similar magnitude of impact