Yang He

3.7k total citations · 2 hit papers
46 papers, 1.5k citations indexed

About

Yang He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yang He has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Yang He's work include Advanced Neural Network Applications (10 papers), Recommender Systems and Techniques (5 papers) and Video Surveillance and Tracking Methods (4 papers). Yang He is often cited by papers focused on Advanced Neural Network Applications (10 papers), Recommender Systems and Techniques (5 papers) and Video Surveillance and Tracking Methods (4 papers). Yang He collaborates with scholars based in China, Singapore and Australia. Yang He's co-authors include Yi Yang, Ping Liu, Ziwei Wang, Zhilan Hu, Linchao Zhu, Hanwang Zhang, Yuhang Ding, Yanwei Fu, Chenggang Yan and Xuanyi Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Computational Physics.

In The Last Decade

Yang He

43 papers receiving 1.5k citations

Hit Papers

Filter Pruning via Geometric Median for Deep Convolutiona... 2019 2026 2021 2023 2019 2023 200 400 600
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.

  1. Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
    2019 705 citations Yang He, Ping Liu et al. profile →
  2. Structured Pruning for Deep Convolutional Neural Networks: A Survey
    2023 114 citations Yang He et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang He China 14 959 864 116 107 101 46 1.5k
Yuandong Tian United States 20 1.4k 1.4× 888 1.0× 185 1.6× 74 0.7× 54 0.5× 47 1.9k
Jacob Steinhardt United States 14 669 0.7× 1.2k 1.4× 81 0.7× 67 0.6× 55 0.5× 34 1.6k
Jiahua Dong China 20 514 0.5× 787 0.9× 83 0.7× 82 0.8× 62 0.6× 49 1.5k
Xingjun Ma China 18 892 0.9× 1.9k 2.2× 128 1.1× 133 1.2× 124 1.2× 56 2.6k
Fazhi He China 23 856 0.9× 519 0.6× 69 0.6× 138 1.3× 281 2.8× 68 1.7k
Sheng-Jun Huang China 22 975 1.0× 2.0k 2.3× 63 0.5× 103 1.0× 327 3.2× 83 2.6k
Péter Vajda United States 14 1.2k 1.3× 857 1.0× 206 1.8× 74 0.7× 43 0.4× 41 1.6k
Bin Gu China 8 330 0.3× 414 0.5× 129 1.1× 117 1.1× 89 0.9× 10 1000
Philip Bachman Canada 9 464 0.5× 1.0k 1.2× 159 1.4× 148 1.4× 110 1.1× 15 1.5k

Countries citing papers authored by Yang He

Since Specialization
Citations

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

Fields of papers citing papers by Yang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang He

This figure shows the co-authorship network connecting the top 25 collaborators of Yang He. A scholar is included among the top collaborators of Yang He 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 Yang He. Yang He 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.
Sun, Hao, et al.. (2024). YOLO-HLFE: A UAV Perspective Target Detector With Hybrid Loss and Feature Enhancement Based on YOLOv7. Arabian Journal for Science and Engineering. 50(2). 1261–1278. 1 indexed citations
3.
He, Yang, et al.. (2024). Physics-informed neural network solution for thermo-elastic cavity expansion problem. Geomechanics and Geoengineering. 20(3). 440–450. 1 indexed citations
4.
Wang, He, et al.. (2024). Loss-attentional physics-informed neural networks. Journal of Computational Physics. 501. 112781–112781. 36 indexed citations
5.
Chen, Limei, et al.. (2024). Design and test of the key components for a combing-type tobacco harvester. International journal of agricultural and biological engineering. 17(1). 145–153. 1 indexed citations
6.
Wang, Xiaodong, et al.. (2023). Progressive Local Filter Pruning for Image Retrieval Acceleration. IEEE Transactions on Multimedia. 25. 9597–9607. 26 indexed citations
7.
Ni, Shunjiang, et al.. (2023). Multi-Vehicle Scheduling of Containers in Highway Port under Network Condition. International Journal of Simulation Modelling. 22(3). 438–449. 2 indexed citations
8.
He, Yang, et al.. (2023). Structured Pruning for Deep Convolutional Neural Networks: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2900–2919. 114 indexed citations breakdown →
9.
He, Yang, Ping Liu, Linchao Zhu, & Yi Yang. (2022). Filter Pruning by Switching to Neighboring CNNs With Good Attributes. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 8044–8056. 41 indexed citations
10.
Guo, Xianling, Yang He, Zhuqing Liu, et al.. (2022). Anlotinib suppresses proliferation, migration, and immune escape of gastric cancer cells by activating the cGAS-STING/IFN-β pathway. Neoplasma. 69(4). 807–819. 17 indexed citations
11.
Wang, Xiaodong, Zhedong Zheng, Yang He, et al.. (2021). Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying. IEEE Transactions on Cybernetics. 52(12). 13293–13307. 24 indexed citations
12.
He, Yang, Yuhang Ding, Ping Liu, et al.. (2020). Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. 2006–2015. 149 indexed citations
13.
Chen, Jiming, et al.. (2020). Generating Adversarial Examples Against Machine Learning-Based Intrusion Detector in Industrial Control Systems. IEEE Transactions on Dependable and Secure Computing. 19(3). 1810–1825. 47 indexed citations
14.
Yu, Wei, et al.. (2020). UGAN: Unified Generative Adversarial Networks for Multidirectional Text Style Transfer. IEEE Access. 8. 55170–55180. 6 indexed citations
15.
He, Yang, et al.. (2020). Active Suspension Control Based on Multi-agent Predictive Algorithm. 354–358. 3 indexed citations
16.
Jaladanki, Chaitanya K., Yang He, Li Na Zhao, et al.. (2020). Virtual screening of potentially endocrine-disrupting chemicals against nuclear receptors and its application to identify PPARγ-bound fatty acids. Archives of Toxicology. 95(1). 355–374. 13 indexed citations
17.
He, Yang, Xuanyi Dong, Guoliang Kang, et al.. (2019). Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks. IEEE Transactions on Cybernetics. 50(8). 3594–3604. 136 indexed citations
18.
He, Yang, Ping Liu, Ziwei Wang, & Yi Yang. (2018). Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration.. arXiv (Cornell University). 11 indexed citations
19.
Chen, Chao, et al.. (2015). Creation of a free, Internet-accessible database: the Multiple Target Ligand Database. Journal of Cheminformatics. 7(1). 14–14. 6 indexed citations
20.
He, Yang. (2009). Selection Design on Trackless Rubber-Tyred Auxiliary Haulage System in Underground Mine. Coal science and technology. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuandong Tian Breakdown of academic impact, for papers by Jacob Steinhardt Breakdown of academic impact, for papers by Jiahua Dong Breakdown of academic impact, for papers by Xingjun Ma Breakdown of academic impact, for papers by Fazhi He Breakdown of academic impact, for papers by Sheng-Jun Huang Breakdown of academic impact, for papers by Péter Vajda Breakdown of academic impact, for papers by Bin Gu Breakdown of academic impact, for papers by Philip Bachman
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