Zhirong Wu

11.7k total citations · 2 hit papers
37 papers, 5.3k citations indexed

About

Zhirong Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Polymers and Plastics. According to data from OpenAlex, Zhirong Wu has authored 37 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 9 papers in Polymers and Plastics. Recurrent topics in Zhirong Wu's work include Transition Metal Oxide Nanomaterials (9 papers), Conducting polymers and applications (9 papers) and Multimodal Machine Learning Applications (4 papers). Zhirong Wu is often cited by papers focused on Transition Metal Oxide Nanomaterials (9 papers), Conducting polymers and applications (9 papers) and Multimodal Machine Learning Applications (4 papers). Zhirong Wu collaborates with scholars based in China, Hong Kong and United States. Zhirong Wu's co-authors include Stella X. Yu, Dahua Lin, Yuanjun Xiong, Xiaoou Tang, Jianxiong Xiao, Shuran Song, Aditya Khosla, Linguang Zhang, Fisher Yu and Stephen Lin and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Polymer.

In The Last Decade

Zhirong Wu

32 papers receiving 5.2k citations

Hit Papers

3D ShapeNets: A deep repr... 2015 2026 2018 2022 2015 2018 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhirong Wu China 14 3.1k 1.9k 1.6k 1.2k 636 37 5.3k
Shu Liu China 26 2.8k 0.9× 993 0.5× 741 0.5× 768 0.6× 727 1.1× 95 4.2k
Kai Xu China 39 2.4k 0.8× 1.9k 1.0× 513 0.3× 969 0.8× 382 0.6× 207 4.6k
Yongming Rao China 29 2.4k 0.8× 828 0.4× 767 0.5× 556 0.5× 307 0.5× 49 3.4k
Hui Huang China 39 2.4k 0.8× 1.7k 0.9× 291 0.2× 940 0.8× 608 1.0× 269 5.2k
Yongbin Sun China 14 1.7k 0.6× 2.3k 1.2× 478 0.3× 1.7k 1.5× 1.2k 1.9× 44 4.5k
Kaichun Mo United States 6 3.2k 1.0× 2.8k 1.5× 468 0.3× 2.1k 1.7× 1.6k 2.5× 16 6.1k
Yunde Jia China 33 3.4k 1.1× 666 0.4× 961 0.6× 588 0.5× 286 0.4× 193 4.7k
Marc Stamminger Germany 34 5.0k 1.6× 1.6k 0.8× 486 0.3× 543 0.5× 232 0.4× 184 6.2k
Haoqiang Fan China 21 2.9k 0.9× 1.0k 0.6× 284 0.2× 493 0.4× 236 0.4× 39 3.9k

Countries citing papers authored by Zhirong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhirong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhirong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhirong Wu. A scholar is included among the top collaborators of Zhirong 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 Zhirong Wu. Zhirong 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
1.
Bai, Zhihui, Zhirong Wu, Xiaomeng He, et al.. (2025). N6-Methylandenosine-related lncRNAs as potential biomarkers for predicting prognosis and the immunotherapy response in pancreatic cancer. Cellular and Molecular Life Sciences. 82(1). 48–48.
2.
Song, Xiaorui, Xuan Zheng, Yingyuan Wang, et al.. (2024). Identification of two novel heterozygous variants of SMC3 with Cornelia de Lange syndrome. Molecular Genetics & Genomic Medicine. 12(5). e2447–e2447.
3.
Pan, Yu, et al.. (2024). Molecular engineering of colorless triphenylamine-based polymers for multicolor electrochromism and energy storage. European Polymer Journal. 215. 113255–113255. 4 indexed citations
4.
Wu, Zhirong, Ping Sheng, Haitao Liu, et al.. (2024). Electrochemical polymerization of D-A-D type monomer consisting of triphenylamine and anthraquinone moieties for electrochromic energy storage devices. Journal of Molecular Structure. 1319. 139636–139636. 3 indexed citations
5.
Sheng, Ping, et al.. (2024). Molecular engineering of polythiophene-based polymers consisting of anthraquinone moiety for electrochromism and energy storage. Solar Energy Materials and Solar Cells. 278. 113218–113218.
6.
Wu, Zhirong, et al.. (2024). A heat stress control method for miners based on internal heat storage. Science and Technology for the Built Environment. 31(4). 484–493.
7.
8.
Hu, Shan, et al.. (2023). Research on dust deposition of PV modules based on three-dimensional numerical simulation and its application in installation parameter optimization. Journal of Cleaner Production. 423. 138743–138743. 13 indexed citations
9.
Wu, Huimin, Chenyang Lei, Xiao Sun, et al.. (2023). Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16259–16270. 4 indexed citations
10.
Gao, Peng, Hongjin Chen, Zhirong Wu, et al.. (2023). Molecular engineering of π-extended viologens consisting of thiophene-based bridges for electrochromic devices. Journal of Molecular Structure. 1288. 135769–135769. 22 indexed citations
11.
Chen, Hongjin, Yiying Han, Peng Gao, et al.. (2023). Molecular engineering of novel D-A conjugated polymers for electrochromic energy storage devices toward enhanced performance. European Polymer Journal. 200. 112502–112502. 10 indexed citations
12.
Chen, Yutong, Fangyun Wei, Xiao Sun, Zhirong Wu, & Stephen Lin. (2022). A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5110–5120. 75 indexed citations
13.
Wang, Peng‐Shuai, et al.. (2021). Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2773–2781. 30 indexed citations
14.
Chen, Shiqiang, et al.. (2020). Effects of co-current airflow on water atomization in a curved diffuser. Energy Exploration & Exploitation. 39(2). 657–668. 4 indexed citations
15.
16.
Wu, Zhirong, Shuran Song, Aditya Khosla, et al.. (2015). 3D ShapeNets: A deep representation for volumetric shapes. Zenodo (CERN European Organization for Nuclear Research). 1912–1920. 2728 indexed citations breakdown →
17.
Shang, Qing, Caiyun Ma, Nan Lv, et al.. (2015). Clinical study of cerebral palsy in 408 children with periventricular leukomalacia. Experimental and Therapeutic Medicine. 9(4). 1336–1344. 25 indexed citations
18.
Wu, Zhirong, Shuran Song, Aditya Khosla, Xiaoou Tang, & Jianxiong Xiao. (2014). 3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction. arXiv (Cornell University). 52 indexed citations
19.
Wu, Zhirong, et al.. (2013). Constitutive Modeling Method for Stable Cyclic Stress-Strain Curve of Metal Materials Based on Chaboche Model. 37(10). 92–95. 1 indexed citations
20.
Wu, Zhirong. (2013). Multi-axial Fatigue Life Prediction Model Based on Maximum Shear Strain Amplitude and Modified SWT Parameter. Journal of Mechanical Engineering. 49(2). 59–59. 15 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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