Zhaohui Wu

11.5k total citations · 3 hit papers
325 papers, 7.0k citations indexed

About

Zhaohui Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Zhaohui Wu has authored 325 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Artificial Intelligence, 124 papers in Information Systems and 99 papers in Computer Networks and Communications. Recurrent topics in Zhaohui Wu's work include Service-Oriented Architecture and Web Services (74 papers), Semantic Web and Ontologies (41 papers) and Web Data Mining and Analysis (29 papers). Zhaohui Wu is often cited by papers focused on Service-Oriented Architecture and Web Services (74 papers), Semantic Web and Ontologies (41 papers) and Web Data Mining and Analysis (29 papers). Zhaohui Wu collaborates with scholars based in China, United States and Canada. Zhaohui Wu's co-authors include Gang Pan, Shuiguang Deng, Lin Sun, Jianwei Yin, Shijian Li, C. Lee Giles, Shihong Lao, Xuelong Li, Deng Cai and Thomas S. Huang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Oncogene.

In The Last Decade

Zhaohui Wu

314 papers receiving 6.7k 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.

Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera

2007 452 citations Zhaohui Wu et al. profile →
Constrained Nonnegative Matrix Factorization for Image Representation

2011 400 citations Xuelong Li, Zhaohui Wu et al. profile →
On Deep Learning for Trust-Aware Recommendations in Social Networks

2016 236 citations Shuiguang Deng, Zhaohui Wu et al. profile →

Peers

Zhaohui Wu

IS

AI

CVPR

CNC

SP

Kotagiri Ramamohanarao Australia

Jia Wu Australia

Hanghang Tong United States

Victor S. Sheng United States

Weinan Zhang China

Vincent W. Zheng Singapore

Peng Cui China

Lina Yao Australia

Zhong Ming China

Bin Cui China

Kotagiri Ramamohanarao Australia

Zhaohui Wu

2.9k ×1.2

IS

3.5k ×1.7

AI

1.5k ×0.9

CVPR

4.0k ×2.5

CNC

1.6k ×1.7

SP

Citations per year, relative to Zhaohui Wu Zhaohui Wu (= 1×) peers Kotagiri Ramamohanarao

Countries citing papers authored by Zhaohui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zhaohui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaohui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohui Wu. A scholar is included among the top collaborators of Zhaohui 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 Zhaohui Wu. Zhaohui 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, Zhaohui, et al.. (2021). Review on the Construction and Application of Digital Twins in Transportation Scenes. Jisuanji fangzhen. 33(2). 295. 10 indexed citations

2.

Joshi, James, Karl Aberer, Elisa Bertino, et al.. (2019). Steering Committee. 15–15. 1 indexed citations

3.

Li, Xiang, Xiaohong Jiang, Peter Garraghan, & Zhaohui Wu. (2017). Holistic energy and failure aware workload scheduling in Cloud datacenters. Future Generation Computer Systems. 78. 887–900. 41 indexed citations

4.

Chen, Huajun, et al.. (2016). Forecasting smog-related health hazard based on social media and physical sensor. Information Systems. 64. 281–291. 52 indexed citations

5.

Wu, Zhaohui, Wenyi Huang, Chen Liang, & C. Lee Giles. (2014). Crowd-sourcing web knowledge for metadata extraction. 141–144. 1 indexed citations

6.

Wu, Zhaohui & C. Lee Giles. (2013). Measuring Term Informativeness in Context. North American Chapter of the Association for Computational Linguistics. 259–269. 17 indexed citations

7.

Lo, Wei, Jianwei Yin, Shuiguang Deng, Ying Li, & Zhaohui Wu. (2012). An Extended Matrix Factorization Approach for QoS Prediction in Service Selection. 162–169. 75 indexed citations

8.

Li, Xuelong, Yang Zheng, & Zhaohui Wu. (2011). Locality-constrained concept factorization. International Joint Conference on Artificial Intelligence. 1378–1383. 16 indexed citations

9.

Chen, Huajun, Jun Ma, Yi‐Min Wang, & Zhaohui Wu. (2008). A Survey on Semantic E-Science Applications. Computing and Informatics / Computers and Artificial Intelligence. 27(1). 5–20. 7 indexed citations

10.

Zhou, Linhua, et al.. (2008). Ontology-based Scientific Data Service Composition: A Query Rewriting-based Approach.. National Conference on Artificial Intelligence. 116–121. 2 indexed citations

11.

Wu, Zhaohui. (2007). Research and design of web services dynamic composition method. Jisuanji gongcheng yu sheji. 2 indexed citations

12.

Sheng, Hao, et al.. (2007). Applying Hypothetical Queries to E-Commerce Systems to Support Reservation and Personal Preferences. 46–53. 4 indexed citations

13.

Wu, Zhaohui. (2006). Driver behavior modeling in ACT-R cognitive architecture. Journal of Zhejiang University(Engineering Science). 5 indexed citations

14.

Zheng, Nenggan, et al.. (2006). A dependable infrastructure of the electric network for e-textiles. International Parallel and Distributed Processing Symposium. 81–81. 2 indexed citations

15.

Mao, Yuxin, William K. Cheung, Zhaohui Wu, & Jiming Liu. (2005). Dynamic sub-ontology evolution for collaborative problem solving. HKBU Institutional Repository (Hong Kong Baptist University). 1–8. 3 indexed citations

16.

Wu, Zhaohui. (2005). Analysis and Implementation of Porting Linux Keyboard Driver. Jisuanji gongcheng.

17.

Wu, Zhaohui, et al.. (2004). Schedulability Test for Fault-Tolerant Hybrid Real-time Systems with Preemptive and Non-Preemptive Tasks. Computer and Information Technology. 1169–1174. 2 indexed citations

18.

Wu, Zhaohui, et al.. (2004). Mining Frequent Maximum Patterns with Constraint. Fudan xuebao. Ziran Kexue ban. 43(5). 746–749. 1 indexed citations

19.

Wu, Zhaohui. (2004). Research on a concurrent algorithm of component software architecture. Journal of Zhejiang University(Engineering Science).

20.

Wu, Zhaohui. (2002). Changes of gene expression in atrophic muscle induced by brachial plexus injury in rats. Chinese Journal of Traumatology. 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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