Ziming Wu

1.3k total citations
33 papers, 834 citations indexed

About

Ziming Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Ziming Wu has authored 33 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Ziming Wu's work include Digital Marketing and Social Media (4 papers), Data Visualization and Analytics (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Ziming Wu is often cited by papers focused on Digital Marketing and Social Media (4 papers), Data Visualization and Analytics (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Ziming Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Ziming Wu's co-authors include Li‐Sheng Hu, Peng Shi, Tao Bai, Weiwei Lin, Jin Li, Xiaojuan Ma, Zhenhui Peng, Tomokazu MURAKAMI, Shuai Ma and Quan Kong and has published in prestigious journals such as Automatica, IEEE Access and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ziming Wu

29 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziming Wu China 12 246 237 187 131 105 33 834
Martín Molina Spain 17 149 0.6× 237 1.0× 229 1.2× 295 2.3× 166 1.6× 77 1.0k
Stuart Russell United States 6 213 0.9× 397 1.7× 71 0.4× 230 1.8× 69 0.7× 7 845
Kevin Seppi United States 18 88 0.4× 730 3.1× 155 0.8× 229 1.7× 163 1.6× 85 1.2k
Gita Sukthankar United States 18 76 0.3× 602 2.5× 130 0.7× 264 2.0× 114 1.1× 113 1.1k
Stefano V. Albrecht United Kingdom 13 97 0.4× 691 2.9× 112 0.6× 214 1.6× 120 1.1× 37 1.2k
Artem Katasonov Finland 10 56 0.2× 197 0.8× 245 1.3× 180 1.4× 223 2.1× 27 837
Richard Dazeley Australia 16 141 0.6× 636 2.7× 99 0.5× 66 0.5× 182 1.7× 60 1.1k
Aske Plaat Netherlands 18 129 0.5× 627 2.6× 494 2.6× 163 1.2× 174 1.7× 82 1.5k
Dave Braines United Kingdom 14 51 0.2× 503 2.1× 110 0.6× 72 0.5× 117 1.1× 75 899
Autilia Vitiello Italy 18 76 0.3× 549 2.3× 89 0.5× 90 0.7× 195 1.9× 92 887

Countries citing papers authored by Ziming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ziming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ziming Wu. A scholar is included among the top collaborators of Ziming 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 Ziming Wu. Ziming Wu 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
2.
Wu, Ziming, et al.. (2025). Unravelling AMR dynamics in the rumenofaecobiome: Insights, challenges and implications for One Health. International Journal of Antimicrobial Agents. 66(1). 107494–107494.
3.
Ding, Yue, et al.. (2024). DAG: Deep Adaptive and Generative K -Free Community Detection on Attributed Graphs. 5454–5465. 3 indexed citations
4.
Wu, Ziming, et al.. (2024). Biogenic fabrication of gold nanoparticles for treatment of gastric cancer and electrochemical sensing of As(lIl). Alexandria Engineering Journal. 90. 216–221. 3 indexed citations
5.
Wu, Ziming, et al.. (2024). Exploiting the role of O6-methylguanine-DNA-methyltransferase (MGMT) in gastrointestinal cancers. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(1). 319–327.
6.
Xing, Xingxing, et al.. (2024). Deciphering Explicit and Implicit Features for Reliable, Interpretable, and Actionable User Churn Prediction in Online Video Games. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5990–6007. 1 indexed citations
7.
Wu, Ziming, Tao Liu, Bin Yan, Jeng‐Shyang Pan, & Hong-Mei Yang. (2023). FPGA acceleration of secret sharing for 3D data cubes. Journal of Real-Time Image Processing. 20(4).
8.
Wu, Ziming, et al.. (2021). Exploration of text matching methods in Chinese disease Q&A systems: A method using ensemble based on BERT and boosted tree models. Journal of Biomedical Informatics. 115. 103683–103683. 12 indexed citations
9.
Wu, Ziming, et al.. (2021). MetaMap: Supporting Visual Metaphor Ideation through Multi-dimensional Example-based Exploration. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–15. 40 indexed citations
10.
Li, Jin, et al.. (2021). Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs. arXiv (Cornell University). 1880–1884. 6 indexed citations
11.
Wu, Ziming, Qianyao Xu, Yiding Liu, et al.. (2021). Exploring Designers’ Practice of Online Example Management for Supporting Mobile UI Design. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–12. 3 indexed citations
12.
Wu, Ziming, et al.. (2020). Predicting and Diagnosing User Engagement with Mobile UI Animation via a Data-Driven Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–13. 26 indexed citations
13.
Wu, Ziming, et al.. (2019). Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction. IEEE Access. 7. 51759–51770. 11 indexed citations
14.
Tang, Shiliang, Ziming Wu, Gang Wang, et al.. (2019). Towards Understanding the Adoption and Social Experience of Digital Wallet Systems. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 6 indexed citations
15.
Wu, Ziming, et al.. (2019). An AR Benchmark System for Indoor Planar Object Tracking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 302–307. 3 indexed citations
16.
Peng, Zhenhui, et al.. (2019). Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–13. 56 indexed citations
17.
Wu, Ziming, et al.. (2018). Mediating Color Filter Exploration with Color Theme Semantics Derived from Social Curation Data. Proceedings of the ACM on Human-Computer Interaction. 2(CSCW). 1–24. 5 indexed citations
18.
Li, Quan, Ziming Wu, Peng Xu, Huamin Qu, & Xiaojuan Ma. (2018). A Multi-Phased Co-design of an Interactive Analytics System for MOBA Game Occurrences. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1321–1332. 7 indexed citations
19.
Wu, Ziming & Wing W. Y. Ng. (2014). Human action recognition using action bank and RBFNN trained by L-GEM. 1. 30–35. 3 indexed citations
20.
Wu, Ziming, et al.. (2002). Ovulation prediction by monitoring the conductivity of woman's saliva. 5. 2344–2346. 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.

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