Changhu Wang

8.4k total citations · 4 hit papers
104 papers, 4.8k citations indexed

About

Changhu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Changhu Wang has authored 104 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Changhu Wang's work include Advanced Image and Video Retrieval Techniques (55 papers), Image Retrieval and Classification Techniques (35 papers) and Multimodal Machine Learning Applications (17 papers). Changhu Wang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (55 papers), Image Retrieval and Classification Techniques (35 papers) and Multimodal Machine Learning Applications (17 papers). Changhu Wang collaborates with scholars based in China, United States and Singapore. Changhu Wang's co-authors include Lei Zhang, Hao Zhang, Zehuan Yuan, Liqing Zhang, Peize Sun, Yi Jiang, Ping Luo, Tao Kong, Wei Zhan and Chenfeng Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Changhu Wang

98 papers receiving 4.6k 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.

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

2021 933 citations Peize Sun, Rufeng Zhang et al. profile →
Improving Convolutional Networks With Self-Calibrated Convolutions

2020 316 citations Changhu Wang et al. profile →
TransFG: A Transformer Architecture for Fine-Grained Recognition

2022 270 citations Changhu Wang et al. profile →
Involution: Inverting the Inherence of Convolution for Visual Recognition

2021 264 citations Duo Li, Jie Hu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers

Countries citing papers authored by Changhu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Changhu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changhu Wang. A scholar is included among the top collaborators of Changhu Wang 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 Changhu Wang. Changhu Wang 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

#	Work	Indexed citations
1	High-Accuracy BOTDR Based on Real-Time Envelope Accumulative and Frequency Response Convolution 2026 ·IEEE Transactions on Instrumentation and Measurement ·(unknown), (unknown), Changhu Wang, (unknown), (unknown), (unknown), (unknown), Dengwang Zhou	0
2	Latency Minimization for Multi-AAV-Enabled ISCC Systems with Movable Antenna 2025 ·(unknown), (unknown), Changhu Wang, (unknown), Xi Zhang, Y. R. Shen	0
3	LaVin-DiT: Large Vision Diffusion Transformer 2025 ·Zhaoqing Wang, Xiaobo Xia, Runnan Chen, (unknown), Changhu Wang, Mingming Gong, Tongliang Liu	0
4	Newton design: designing CNNs with the family of Newton’s methods 2023 ·Science China Information Sciences ·Zhengyang Shen, Yibo Yang, Qi She, Changhu Wang, Jinwen Ma, Zhouchen Lin	3
5	Time-Aware Neighbor Sampling on Temporal Graphs 2022 ·2022 International Joint Conference on Neural Networks (IJCNN) ·Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi	1
6	Learning the Best Pooling Strategy for Visual Semantic Embedding 2021 ·Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang	171
7	Involution: Inverting the Inherence of Convolution for Visual Recognition breakdown → 2021 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen	264
8	Sparse R-CNN: End-to-End Object Detection with Learnable Proposals breakdown → 2021 ·Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo	933
9	Adaptive Data Augmentation on Temporal Graphs 2021 ·Neural Information Processing Systems ·Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi	14
10	Directed Graph Contrastive Learning 2021 ·Neural Information Processing Systems ·Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, (unknown), Changhu Wang	13
11	Modularized Morphing of Deep Convolutional Neural Networks: A Graph Approach 2020 ·IEEE Transactions on Computers ·Tao Wei, Changhu Wang, Chang Wen Chen	10
12	OneNet: Towards End-to-End One-Stage Object Detection. 2020 ·arXiv (Cornell University) ·Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo	13
13	Context Encoding for Video Retrieval with Contrastive Learning 2020 ·arXiv (Cornell University) ·Jie Shao, Xin Wen, (unknown), Changhu Wang, Xiangyang Xue	2
14	Is normalization indispensable for training deep neural network 2020 ·Neural Information Processing Systems ·Jie Shao, Kai Hu, Changhu Wang, Xiangyang Xue, Bhiksha Raj	20
15	Weakly Supervised Object Detection via Object-Specific Pixel Gradient 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Yunhang Shen, Rongrong Ji, Changhu Wang, Xi Li, Xuelong Li	49
16	Image segmentation using contour, surface, and depth cues 2017 ·(unknown), Chen Chen, Jian Li, Changhu Wang, C.‐C. Jay Kuo	1
17	Image2Text: A Multimodal Caption Generator 2016 ·Chang Liu, Changhu Wang, Fuchun Sun, Yong Rui	4
18	SimMap: Similarity maps for scale invariant local shape descriptors 2015 ·Neurocomputing ·Edgar Román-Rangel, Changhu Wang, Stéphane Marchand‐Maillet	3
19	Edgel index for large-scale sketch-based image search 2011 ·Yang Cao, Changhu Wang, Liqing Zhang, Lei Zhang	147
20	Non-Negative Semi-Supervised Learning 2009 ·National University of Singapore ·Changhu Wang, Shuicheng Yan, Lei Zhang, Hao Zhang	9

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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