Pichao Wang

8.6k total citations · 2 hit papers
121 papers, 5.2k citations indexed

About

Pichao Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Pichao Wang has authored 121 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 26 papers in Human-Computer Interaction and 24 papers in Artificial Intelligence. Recurrent topics in Pichao Wang's work include Human Pose and Action Recognition (40 papers), Hand Gesture Recognition Systems (23 papers) and Gait Recognition and Analysis (21 papers). Pichao Wang is often cited by papers focused on Human Pose and Action Recognition (40 papers), Hand Gesture Recognition Systems (23 papers) and Gait Recognition and Analysis (21 papers). Pichao Wang collaborates with scholars based in China, United States and Australia. Pichao Wang's co-authors include Wanqing Li, Chang Tang, Yonghong Hou, Philip Ogunbona, Zhaoyang Li, Xinwang Liu, Zhimin Gao, Jing Zhang, Hong Liu and Wenhao Li and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Cell Biology.

In The Last Decade

Pichao Wang

118 papers receiving 5.0k citations

Hit Papers

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose ... 2022 2026 2023 2024 2022 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pichao Wang China 38 3.7k 1.6k 1.5k 1.1k 358 121 5.2k
Yang Xiao China 35 1.9k 0.5× 387 0.2× 746 0.5× 239 0.2× 767 2.1× 175 4.3k
Ting Yao China 45 7.4k 2.0× 741 0.4× 3.4k 2.2× 365 0.3× 300 0.8× 221 9.6k
Gang Yu China 26 4.8k 1.3× 419 0.3× 1.4k 0.9× 141 0.1× 1.0k 2.8× 108 6.2k
Wu Liu China 32 2.9k 0.8× 811 0.5× 750 0.5× 224 0.2× 279 0.8× 139 3.5k
Chen Gong China 34 1.7k 0.5× 773 0.5× 1.4k 0.9× 73 0.1× 921 2.6× 210 4.4k
Ning Jia China 14 1.7k 0.5× 428 0.3× 857 0.6× 137 0.1× 265 0.7× 54 2.9k
Yifan Zhang China 25 4.4k 1.2× 1.8k 1.1× 1.9k 1.2× 1.0k 0.9× 215 0.6× 99 5.7k
Amin Ullah South Korea 34 2.4k 0.6× 361 0.2× 2.0k 1.3× 152 0.1× 129 0.4× 68 4.8k
Jun Xiao China 31 3.8k 1.0× 368 0.2× 2.3k 1.5× 234 0.2× 226 0.6× 175 5.2k
Moongu Jeon South Korea 35 1.7k 0.5× 357 0.2× 1.1k 0.7× 62 0.1× 413 1.2× 222 4.2k

Countries citing papers authored by Pichao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pichao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pichao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pichao Wang. A scholar is included among the top collaborators of Pichao 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 Pichao Wang. Pichao Wang 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.
2.
Li, Wenhao, et al.. (2024). Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation. Institutional Research Information System (Università degli Studi di Trento). 604–613. 21 indexed citations
3.
Li, Dongyang, et al.. (2023). Frequency Domain Disentanglement for Arbitrary Neural Style Transfer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1287–1295. 4 indexed citations
4.
Li, Wenhao, Hong Liu, Hao Tang, & Pichao Wang. (2023). Multi-hypothesis representation learning for transformer-based 3D human pose estimation. Pattern Recognition. 141. 109631–109631. 20 indexed citations
5.
Li, Chuankun, et al.. (2023). Dfn: A Deep Fusion Network for Flexible Single and Multi-Modal Action Recognition. SSRN Electronic Journal. 1 indexed citations
6.
Chen, Hansheng, Pichao Wang, Fan Wang, et al.. (2022). EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2771–2780. 105 indexed citations
7.
Hou, Yonghong, et al.. (2022). FT-HID: a large-scale RGB-D dataset for first- and third-person human interaction analysis. Neural Computing and Applications. 35(2). 2007–2024. 3 indexed citations
8.
Hou, Yonghong, et al.. (2021). Trear: Transformer-Based RGB-D Egocentric Action Recognition. IEEE Transactions on Cognitive and Developmental Systems. 14(1). 246–252. 64 indexed citations
9.
Yu, Zitong, Benjia Zhou, Jun Wan, et al.. (2021). Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Transactions on Image Processing. 30. 5626–5640. 80 indexed citations
10.
Yu, Zitong, Xiaobai Li, Pichao Wang, & Guoying Zhao. (2021). TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection. IEEE Signal Processing Letters. 28. 1290–1294. 88 indexed citations
11.
Li, Wenhao, Hong Liu, Runwei Ding, Mengyuan Liu, & Pichao Wang. (2021). Lifting Transformer for 3D Human Pose Estimation in Video.. arXiv (Cornell University). 12 indexed citations
12.
Lin, Ming, Pichao Wang, Xiuyu Sun, et al.. (2021). Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 337–346. 75 indexed citations
13.
Tang, Chang, Xinwang Liu, Miaomiao Li, et al.. (2018). Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowledge-Based Systems. 145. 109–120. 109 indexed citations
14.
Wang, Pichao, Wanqing Li, Zhimin Gao, Chang Tang, & Philip Ogunbona. (2018). Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks. IEEE Transactions on Multimedia. 20(5). 1051–1061. 136 indexed citations
15.
Ikemoto, Mitsushi, et al.. (2017). Pentylenetetrazol modulates redox system by inducing addicsin translocation from endoplasmic reticulum to plasma membrane in NG108-15 cells. Biochemistry and Biophysics Reports. 11. 72–78. 2 indexed citations
16.
Nishimura, Yusuke, et al.. (2016). Detection of initial angiogenesis from dorsal aorta into metanephroi and elucidation of its role in kidney development. Regenerative Therapy. 4. 27–35. 7 indexed citations
17.
Suzuki, Koya, Tomokazu Nagao, Mitsuyo Itabashi, et al.. (2013). A novel autoantibody against moesin in the serum of patients with MPO-ANCA-associated vasculitis. Nephrology Dialysis Transplantation. 29(6). 1168–1177. 36 indexed citations
18.
Yabusaki, Katsumi, et al.. (2009). Determination of lead(II) in fly ash leachate using a newly developed simple spectrophotometric method. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 75(2). 819–824. 6 indexed citations
19.
Wang, Pichao & Toshiaki Takezawa. (2005). Reconstruction of renal glomerular tissue using collagen vitrigel scaffold. Journal of Bioscience and Bioengineering. 99(6). 529–540. 37 indexed citations
20.
Wang, Pichao, Kiyoshi Toda, Hisao Ohtake, Iwao Kusaka, & Isamu Yabe. (1991). Membrane-bound respiratory system ofEnterobacter cloacaestrain HO1 grown anaerobically with chromate. FEMS Microbiology Letters. 78(1). 11–16. 39 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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