Chenming Wu

1.4k total citations
58 papers, 994 citations indexed

About

Chenming Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Electrical and Electronic Engineering. According to data from OpenAlex, Chenming Wu has authored 58 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Computer Graphics and Computer-Aided Design and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Chenming Wu's work include Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (8 papers) and Robotics and Sensor-Based Localization (7 papers). Chenming Wu is often cited by papers focused on Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (8 papers) and Robotics and Sensor-Based Localization (7 papers). Chenming Wu collaborates with scholars based in China, Netherlands and Hong Kong. Chenming Wu's co-authors include Yong‐Jin Liu, Charlie C. L. Wang, Chengkai Dai, Guoxin Fang, Sylvain Lefèbvre, X. Y. Hou, Xinyi Ding, Jinxiang Zhou, Jinbin Zhao and Rui Zeng and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Chenming Wu

51 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenming Wu China 16 406 242 183 172 166 58 994
Christian Schumacher Germany 18 192 0.5× 95 0.4× 77 0.4× 88 0.5× 334 2.0× 43 1.1k
Guoqiang Fu China 22 177 0.4× 375 1.5× 225 1.2× 180 1.0× 825 5.0× 96 1.6k
Haining Zhang China 15 324 0.8× 318 1.3× 67 0.4× 45 0.3× 182 1.1× 62 924
Matthew M. F. Yuen Hong Kong 24 149 0.4× 568 2.3× 172 0.9× 243 1.4× 174 1.0× 70 1.8k
Qingyuan Hu China 13 220 0.5× 112 0.5× 87 0.5× 27 0.2× 149 0.9× 54 741
Yongzhe Li China 17 403 1.0× 265 1.1× 113 0.6× 39 0.2× 584 3.5× 80 1.1k
Shih-Chieh Lin Taiwan 16 94 0.2× 257 1.1× 60 0.3× 129 0.8× 163 1.0× 35 851
Jo M. P. Geraedts Netherlands 12 256 0.6× 79 0.3× 138 0.8× 52 0.3× 203 1.2× 30 673
Doo-Hyun Choi South Korea 19 71 0.2× 246 1.0× 138 0.8× 330 1.9× 124 0.7× 85 1.0k
Ankit Goyal India 22 130 0.3× 251 1.0× 43 0.2× 243 1.4× 120 0.7× 67 1.6k

Countries citing papers authored by Chenming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenming Wu. A scholar is included among the top collaborators of Chenming 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 Chenming Wu. Chenming 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.
Li, Hao, Jing‐Feng Li, Dingwen Zhang, et al.. (2025). VDG: Vision-Only Dynamic Gaussian for Driving Simulation. IEEE Robotics and Automation Letters. 10(5). 5138–5145. 2 indexed citations
2.
3.
Shen, Zhelun, Zhuo Li, Chenming Wu, et al.. (2025). Constraining multimodal distribution for domain adaptation in stereo matching. Pattern Recognition. 167. 111727–111727.
4.
Wu, Chenming, et al.. (2025). Surfel-Based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction From Monocular Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11502–11518. 2 indexed citations
5.
6.
Chen, Zheng, Chenming Wu, Zhelun Shen, et al.. (2025). Splatter-360: Generalizable 360° Gaussian Splatting for Wide-baseline Panoramic Images. 21590–21599. 1 indexed citations
7.
8.
Yue, Yufeng, et al.. (2024). HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM. 8610–8616. 7 indexed citations
9.
Wu, Chenming, et al.. (2024). DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes. IEEE Transactions on Automation Science and Engineering. 22. 4394–4407. 4 indexed citations
10.
Fang, Jin, Dingfu Zhou, Jingjing Zhao, et al.. (2024). LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection. 14822–14829. 10 indexed citations
11.
Qian, Haoliang, Alexey V. Krasavin, Jialin Li, et al.. (2024). Large area single crystal gold of single nanometer thickness for nanophotonics. Nature Communications. 15(1). 2840–2840. 21 indexed citations
12.
Wu, Chenming, et al.. (2024). Generating Material-Aware 3D Models from Sparse Views. 1400–1409. 1 indexed citations
13.
Wang, Chen, Jiadai Sun, Lina Liu, et al.. (2023). Digging into Depth Priors for Outdoor Neural Radiance Fields. 1221–1230. 10 indexed citations
14.
Wu, Chenming, Jiadai Sun, Zhelun Shen, & Liangjun Zhang. (2023). MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation. 7082–7088. 12 indexed citations
15.
Wu, Chenming, Chengkai Dai, Qingqing Shi, et al.. (2022). A multi-axis robot-based bioprinting system supporting natural cell function preservation and cardiac tissue fabrication. Bioactive Materials. 18. 138–150. 43 indexed citations
16.
Zeng, Rui, et al.. (2019). A survey on deep-learning-based plant phenotype research in agriculture. Scientia Sinica Vitae. 49(6). 698–716. 25 indexed citations
17.
Wu, Chenming, Chengkai Dai, Guoxin Fang, Yong‐Jin Liu, & Charlie C. L. Wang. (2019). General Support-Effective Decomposition for Multi-Directional 3-D Printing. IEEE Transactions on Automation Science and Engineering. 17(2). 599–610. 61 indexed citations
18.
Wu, Chenming, et al.. (2018). Interactive Partitioning of 3D Models into Printable Parts. IEEE Computer Graphics and Applications. 38(4). 38–53. 11 indexed citations
19.
Chou, Seng‐Cho T., et al.. (2013). Predicting TV Audience Rating with Social Media. International Joint Conference on Natural Language Processing. 1–5. 6 indexed citations
20.
Wu, Chenming, et al.. (2012). Social Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization System. Meeting of the Association for Computational Linguistics. 163–168. 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.

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