Peihao Wang

511 total citations
12 papers, 196 citations indexed

About

Peihao Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Peihao Wang has authored 12 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Peihao Wang's work include Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Peihao Wang is often cited by papers focused on Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Peihao Wang collaborates with scholars based in United States, China and United Kingdom. Peihao Wang's co-authors include Zhangyang Wang, Tianlong Chen, Zhiwen Fan, Xiang Ji, Zhiwen Fan, Dejia Xu, Yi Wang, Wenqing Zheng, Ying Ding and Souvik Kundu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Ecotoxicology and Environmental Safety.

In The Last Decade

Peihao Wang

12 papers receiving 192 citations

Peers

Peihao Wang

CVPR

CGCD

GEOLO

Bas Boom Netherlands

Ha Manh Tran Vietnam

Aliaksandr Siarohin United States

Tung M. Luu South Korea

Tang Yu China

Anne Driemel Netherlands

Jiaqi Lin China

Robert F. Tobler Austria

Jeffrey Wu United States

Ziyan Wang China

Bas Boom Netherlands

Peihao Wang

173 ×1.8

CVPR

36 ×0.7

12 ×0.3

CGCD

21 ×0.7

21 ×1.4

GEOLO

Citations per year, relative to Peihao Wang Peihao Wang (= 1×) peers Bas Boom

Countries citing papers authored by Peihao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Peihao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peihao Wang. A scholar is included among the top collaborators of Peihao Wang 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 Peihao Wang. Peihao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Luo, Haiping, et al.. (2024). Pollution sources and risk assessment of potentially toxic elements in soils of multiple land use types in the arid zone of Northwest China based on Monte Carlo simulation. Ecotoxicology and Environmental Safety. 279. 116479–116479. 7 indexed citations

Wang, Peihao, et al.. (2024). Optical sensor for fast and accurate lung cancer detection with tissue autofluorescence and diffuse reflectance spectroscopy. Thoracic Cancer. 16(1). e15476–e15476. 1 indexed citations

Zheng, Wenqing, Hao Yang, Jiarui Cai, et al.. (2023). Integrating the traffic science with representation learning for city-wide network congestion prediction. Information Fusion. 99. 101837–101837. 14 indexed citations

Lu, Shun, Yu Hu, Peihao Wang, et al.. (2023). PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8957–8965. 8 indexed citations

Wang, Peihao, et al.. (2023). Vision HGNN: An Image is More than a Graph of Nodes. 19821–19831. 28 indexed citations

Cong, Wenyan, et al.. (2023). Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. 3170–3181. 9 indexed citations

Xu, Dejia, et al.. (2023). NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. 4479–4489. 46 indexed citations

Fan, Zhiwen, Tianlong Chen, Peihao Wang, & Zhangyang Wang. (2022). CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10976–10986. 13 indexed citations

Chen, Tianlong, Kaixiong Zhou, Keyu Duan, et al.. (2022). Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 2769–2781. 34 indexed citations

10.

Chen, Tianlong, Peihao Wang, Zhiwen Fan, & Zhangyang Wang. (2022). Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15170–15181. 18 indexed citations

11.

Liu, Chunquan, et al.. (2021). [Multivariate Analysis of Solid Pulmonary Nodules Smaller than 1 cm in  Distinguishing Lung Cancer from Intrapulmonary Lymph Nodes].. SHILAP Revista de lepidopterología. 24(2). 94–98. 2 indexed citations

12.

Ji, Xiang & Peihao Wang. (1990). Annual cycles of lipid contents and caloric values of carcass and some organs of the gecko, Gekko japonicus. Comparative Biochemistry and Physiology Part A Physiology. 96(2). 267–271. 16 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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