Fengxiang He

1.8k total citations · 1 hit paper
36 papers, 997 citations indexed

About

Fengxiang He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fengxiang He has authored 36 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fengxiang He's work include Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Neural Network Applications (9 papers). Fengxiang He is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Neural Network Applications (9 papers). Fengxiang He collaborates with scholars based in China, Australia and United Kingdom. Fengxiang He's co-authors include Dacheng Tao, Tongliang Liu, Bo Du, Lefei Zhang, Fusheng Hao, Jun Cheng, Dacheng Tao, Jingyuan Li, Yonghao Xu and Jianzhong Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.

In The Last Decade

Fengxiang He

33 papers receiving 979 citations

Hit Papers

Why ResNet Works? Residuals Generalize 2020 2026 2022 2024 2020 50 100 150 200
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. Why ResNet Works? Residuals Generalize
    2020 238 citations Fengxiang He, Tongliang Liu et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengxiang He China 16 572 345 122 99 49 36 997
Jun Hao Liew Singapore 9 799 1.4× 431 1.2× 136 1.1× 137 1.4× 43 0.9× 12 1.1k
Xianxu Hou China 16 646 1.1× 297 0.9× 108 0.9× 102 1.0× 20 0.4× 38 959
Jiayuan Gu China 6 819 1.4× 393 1.1× 66 0.5× 56 0.6× 47 1.0× 14 1.1k
Lu Yang China 17 569 1.0× 291 0.8× 177 1.5× 79 0.8× 19 0.4× 70 1.0k
Stamatios Georgoulis Switzerland 8 503 0.9× 352 1.0× 62 0.5× 63 0.6× 35 0.7× 19 929
Sergey Ablameyko Belarus 12 568 1.0× 207 0.6× 92 0.8× 65 0.7× 26 0.5× 129 955
Cheng-Ze Lu China 4 477 0.8× 157 0.5× 158 1.3× 58 0.6× 24 0.5× 8 758
Gilson A. Giraldi Brazil 15 593 1.0× 203 0.6× 99 0.8× 95 1.0× 73 1.5× 103 1.1k
Xiaohang Zhan Hong Kong 13 700 1.2× 416 1.2× 90 0.7× 49 0.5× 55 1.1× 19 907

Countries citing papers authored by Fengxiang He

Since Specialization
Citations

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

Fields of papers citing papers by Fengxiang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengxiang He

This figure shows the co-authorship network connecting the top 25 collaborators of Fengxiang He. A scholar is included among the top collaborators of Fengxiang 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 Fengxiang He. Fengxiang 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.
Hu, Kun, Fengxiang He, Adam Schembri, & Zhiyong Wang. (2025). Graph traverse reference network for sign language corpus retrieval in the wild. Neurocomputing. 637. 130077–130077. 1 indexed citations
2.
He, Fengxiang & Dacheng Tao. (2025). Foundations of Deep Learning. 1 indexed citations
3.
He, Fengxiang, et al.. (2024). Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10797–10813. 3 indexed citations
4.
Zhang, Lan, et al.. (2024). Communication-Efficient Regret-Optimal Distributed Online Convex Optimization. IEEE Transactions on Parallel and Distributed Systems. 35(11). 2270–2283.
5.
He, Fengxiang, et al.. (2024). Attentive Learning Facilitates Generalization of Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3329–3342. 1 indexed citations
6.
Hao, Fusheng, Fengxiang He, Liu Liu, et al.. (2023). Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. 18859–18869. 27 indexed citations
7.
Hao, Fusheng, et al.. (2023). Semantic-Aware Feature Aggregation for Few-Shot Image Classification. Neural Processing Letters. 55(5). 6595–6609.
8.
Chen, Hao, et al.. (2023). Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artificial Intelligence. 322. 103951–103951. 5 indexed citations
9.
Zhang, Lan, et al.. (2023). InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. IEEE Transactions on Mobile Computing. 23(5). 3523–3538. 4 indexed citations
10.
Wang, Yikai, et al.. (2022). Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 5481–5496. 31 indexed citations
11.
Chen, Ming‐Hui, et al.. (2022). VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 321–329. 2 indexed citations
12.
Wu, Fuxiang, Liu Liu, Fusheng Hao, Fengxiang He, & Jun Cheng. (2022). Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Transactions on Multimedia. 25. 6219–6231. 3 indexed citations
13.
Wang, Zengmao, et al.. (2022). Self-paced Supervision for Multi-source Domain Adaptation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3551–3557. 8 indexed citations
14.
Li, Chao, et al.. (2022). Policy and newly confirmed cases universally shape the human mobility during COVID-19. SHILAP Revista de lepidopterología. 1(1). 20220003–20220003. 7 indexed citations
15.
Cheng, Jun, Fusheng Hao, Fengxiang He, Liu Liu, & Qieshi Zhang. (2021). Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Transactions on Multimedia. 25. 191–202. 15 indexed citations
16.
He, Fengxiang, et al.. (2020). Understanding Generalization in Recurrent Neural Networks. International Conference on Learning Representations. 8 indexed citations
17.
He, Fengxiang, Tongliang Liu, & Dacheng Tao. (2020). Why ResNet Works? Residuals Generalize. IEEE Transactions on Neural Networks and Learning Systems. 31(12). 5349–5362. 238 indexed citations breakdown →
18.
He, Fengxiang, et al.. (2019). Progressive Reconstruction of Visual Structure for Image Inpainting. IEEE Conference Proceedings. 2019. 5961–5970. 1 indexed citations
19.
He, Fengxiang, Tongliang Liu, & Dacheng Tao. (2019). Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence. Neural Information Processing Systems. 32. 1141–1150. 66 indexed citations
20.
Li, Jingyuan, Fengxiang He, Lefei Zhang, Bo Du, & Dacheng Tao. (2019). Progressive Reconstruction of Visual Structure for Image Inpainting. 5961–5970. 122 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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