Yanze Wu

668 total citations · 1 hit paper
5 papers, 281 citations indexed

About

Yanze Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yanze Wu has authored 5 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Yanze Wu's work include Cryptography and Data Security (2 papers), Cryptographic Implementations and Security (2 papers) and Network Packet Processing and Optimization (1 paper). Yanze Wu is often cited by papers focused on Cryptography and Data Security (2 papers), Cryptographic Implementations and Security (2 papers) and Network Packet Processing and Optimization (1 paper). Yanze Wu collaborates with scholars based in China, Singapore and United States. Yanze Wu's co-authors include Ying Shan, Zhongang Qi, Jian Zhang, Liangbin Xie, Chong Mou, Xintao Wang, Chip-Hong Chang, Jing Ye, Shuai Chen and Yuan Cao and has published in prestigious journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Journal of Semiconductors and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yanze Wu

4 papers receiving 276 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.

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models

2024 259 citations Chong Mou, Xintao Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Yanze Wu

CVPR

CGCD

AI

CSE

CM

Tobias Hinz Germany

Yael Vinker Israel

Ligong Han United States

Gwanghyun Kim South Korea

Haozhi Huang China

Shanchuan Lin United States

Tim Dockhorn Germany

Yuxin Zhang China

Narek Tumanyan Israel

Konpat Preechakul Thailand

Tobias Hinz Germany

Yanze Wu

302 ×1.5

CVPR

60 ×1.0

CGCD

53 ×1.0

AI

21 ×0.6

CSE

14 ×0.6

CM

Citations per year, relative to Yanze Wu Yanze Wu (= 1×) peers Tobias Hinz

Countries citing papers authored by Yanze Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yanze Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanze Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanze Wu. A scholar is included among the top collaborators of Yanze 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 Yanze Wu. Yanze 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:

5 of 5 papers shown

1.

Wu, Yanze & Md Tanvir Arafin. (2024). Ising Model Processors on a Spatial Computing Architecture. 1383–1387.

2.

Mou, Chong, Xintao Wang, Liangbin Xie, et al.. (2024). T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4296–4304. 259 indexed citations breakdown →

3.

Cao, Yuan, Yanze Wu, Lan Qin, Shuai Chen, & Chip-Hong Chang. (2022). Area, Time and Energy Efficient Multicore Hardware Accelerators for Extended Merkle Signature Scheme. IEEE Transactions on Circuits and Systems I Regular Papers. 69(12). 4908–4918. 2 indexed citations

4.

Cao, Yuan, et al.. (2021). An Efficient Full Hardware Implementation of Extended Merkle Signature Scheme. IEEE Transactions on Circuits and Systems I Regular Papers. 69(2). 682–693. 14 indexed citations

5.

Wang, Zheng, Libing Zhou, Wenting Xie, et al.. (2020). Accelerating hybrid and compact neural networks targeting perception and control domains with coarse-grained dataflow reconfiguration. Journal of Semiconductors. 41(2). 22401–22401. 6 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