Peisong Wang

2.4k total citations · 1 hit paper
47 papers, 1.6k citations indexed

About

Peisong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Peisong Wang has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Peisong Wang's work include Advanced Neural Network Applications (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Peisong Wang is often cited by papers focused on Advanced Neural Network Applications (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Peisong Wang collaborates with scholars based in China, United Kingdom and United States. Peisong Wang's co-authors include Jian Cheng, Xueqin Lü, Chao Chen, Yangyang Zhang, Yinbo Wu, Jie Lian, Xiangyu He, Gang Li, Hanqing Lu and Qinghao Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Energy Conversion and Management and Pattern Recognition.

In The Last Decade

Peisong Wang

41 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm

2020 479 citations Peisong Wang et al. profile →

Peers

Peisong Wang

CVPR

EEE

AI

AE

MT

Najoua Essoukri Ben Amara Tunisia

M.A. Sid-Ahmed Canada

Mingyu Gao China

Xinyu Zhang China

Jennifer Dolson United States

Ekim Yurtsever United States

Ping Fu China

Ashish Shrivastava India

Alex Teichman United States

David Stavens United States

Najoua Essoukri Ben Amara Tunisia

Peisong Wang

893 ×1.3

CVPR

315 ×0.6

EEE

357 ×0.8

AI

268 ×0.7

AE

270 ×2.0

MT

Citations per year, relative to Peisong Wang Peisong Wang (= 1×) peers Najoua Essoukri Ben Amara

Countries citing papers authored by Peisong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Peisong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peisong Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Li, Gang, et al.. (2025). GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. 1824–1837.

2.

Shu, Qiang, et al.. (2024). Preparation and application of profiled luminescent polyester fiber with reversible photochromism materials. e-Polymers. 24(1).

3.

Wang, Peisong. (2024). Student Sentiment Analysis and Classroom Feedback Prediction Using Deep Learning. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

4.

Fan, Dongliang, Renjie Zhu, Hao Liu, et al.. (2023). Innervation of Sensing Microchannels for Three‐Dimensional Stimuli Perception. Advanced Materials Technologies. 8(17). 6 indexed citations

5.

Wang, Peisong, et al.. (2023). Towards Efficient and Accurate Winograd Convolution via Full Quantization. 20164–20178.

6.

Chen, Weihan, Peisong Wang, & Jian Cheng. (2023). Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognition. 140. 109527–109527. 9 indexed citations

7.

Wang, Peisong, et al.. (2022). Differentially Private Federated Learning with Local Regularization and Sparsification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10112–10121. 61 indexed citations

8.

Jiang, Yingying, et al.. (2022). Improving Extreme Low-Bit Quantization With Soft Threshold. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1549–1563. 21 indexed citations

9.

He, Xiangyu, et al.. (2022). Towards Fully Sparse Training: Information Restoration with Spatial Similarity. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2929–2937.

10.

Wang, Peisong, Weihan Chen, Xiangyu He, et al.. (2022). Optimization-Based Post-Training Quantization With Bit-Split and Stitching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2119–2135. 14 indexed citations

11.

He, Xiangyu, et al.. (2021). Generative Zero-shot Network Quantization. 2994–3005. 14 indexed citations

12.

Chen, Weihan, Peisong Wang, & Jian Cheng. (2020). Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization.. British Machine Vision Conference. 1 indexed citations

13.

Wang, Wenguang, Dongliang Fan, Renjie Zhu, et al.. (2020). Modeling and Optimization of Electrostatic Film Actuators Based on the Method of Moments. Soft Robotics. 8(6). 651–661. 8 indexed citations

14.

He, Xiangyu, et al.. (2020). Soft Threshold Ternary Networks. 2298–2304. 3 indexed citations

15.

Chen, Qiang, et al.. (2020). Robust one-stage object detection with location-aware classifiers. Pattern Recognition. 105. 107334–107334. 21 indexed citations

16.

He, Xiangyu, et al.. (2019). ODE-Inspired Network Design for Single Image Super-Resolution. 1732–1741. 185 indexed citations

17.

Li, Zhe, Peisong Wang, Hanqing Lu, & Jian Cheng. (2019). Reading selectively via Binary Input Gated Recurrent Unit. 5074–5080. 8 indexed citations

18.

Zhu, Guibo, Jinqiao Wang, Peisong Wang, Yi Wu, & Hanqing Lu. (2017). Feature Distilled Tracking. IEEE Transactions on Cybernetics. 49(2). 440–452. 13 indexed citations

19.

Wang, Peisong & Jian Cheng. (2017). Fixed-Point Factorized Networks. 3966–3974. 26 indexed citations

20.

Wang, Peisong & Jian Cheng. (2016). Accelerating Convolutional Neural Networks for Mobile Applications. 541–545. 53 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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