Hang Su

5.4k total citations · 4 hit papers
88 papers, 2.3k citations indexed

About

Hang Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hang Su has authored 88 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 46 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Hang Su's work include Adversarial Robustness in Machine Learning (15 papers), Video Surveillance and Tracking Methods (11 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Hang Su is often cited by papers focused on Adversarial Robustness in Machine Learning (15 papers), Video Surveillance and Tracking Methods (11 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Hang Su collaborates with scholars based in China, United States and Iran. Hang Su's co-authors include Jun Zhu, Ali Asghar Heidari, Huiling Chen, Majdi Mafarja, Dong Zhao, Xiaoqin Zhang, Lei Liu, Liyuan Wang, Xingxing Zhang and Jie Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Hang Su

75 papers receiving 2.2k 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.

RIME: A physics-based optimization

2023 594 citations Hang Su, Dong Zhao et al. Neurocomputing profile →
A Comprehensive Survey of Continual Learning: Theory, Method and Application

2024 276 citations Hang Su, Jun Zhu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization

2021 180 citations Kang Wei, Jun Li et al. IEEE Transactions on Mobile Computing profile →
Toward the third generation artificial intelligence

2023 94 citations Bo Zhang, Jun Zhu et al. Science China Information Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Su China	20	1.3k	650	234	216	195	88	2.3k
Dawid Połap Poland	28	1.1k 0.8×	702 1.1×	251 1.1×	284 1.3×	145 0.7×	113	2.6k
宏治津田 Japan	1	1.1k 0.8×	867 1.3×	172 0.7×	143 0.7×	165 0.8×	2	2.0k
Fanzhang Li China	23	906 0.7×	1.1k 1.7×	168 0.7×	125 0.6×	217 1.1×	139	2.3k
Juan Carlos Fernández Fernández Spain	16	1.5k 1.1×	410 0.6×	199 0.9×	276 1.3×	109 0.6×	68	2.6k
Jing Zhao China	20	848 0.6×	593 0.9×	141 0.6×	167 0.8×	164 0.8×	128	2.5k
Siti Mariyam Shamsuddin Malaysia	23	1.2k 0.9×	365 0.6×	258 1.1×	352 1.6×	172 0.9×	133	2.4k
Hadi Sadoghi Yazdi Iran	22	885 0.7×	489 0.8×	100 0.4×	197 0.9×	233 1.2×	184	2.0k
Shaojie Qiao China	26	793 0.6×	363 0.6×	364 1.6×	208 1.0×	299 1.5×	142	2.2k
Daniel Yeung China	21	1.0k 0.8×	700 1.1×	214 0.9×	266 1.2×	242 1.2×	135	2.0k
Bin Gu China	17	847 0.6×	611 0.9×	153 0.7×	152 0.7×	115 0.6×	108	1.7k

Countries citing papers authored by Hang Su

Since Specialization

Citations

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

Fields of papers citing papers by Hang Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Su. A scholar is included among the top collaborators of Hang Su 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 Hang Su. Hang Su 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

Wei, Xingxing, et al.. (2025). Distributionally Location-Aware Transferable Adversarial Patches for Facial Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2849–2864. 1 indexed citations

Dong, Yinpeng, et al.. (2025). Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-Training Models With Contrastive Learning. IEEE Transactions on Multimedia. 27. 6410–6421. 1 indexed citations

Li, Jinlong, Hong Zhou, Shuo Huang, et al.. (2025). Ce-Zn MOF derived dandelion-like CeO2-ZnO and rGO nanosheets hybrid for highly sensitive electrochemical detection of dopamine. Surfaces and Interfaces. 80. 108176–108176.

He, Qiqi, et al.. (2024). Multi-task learning for segmentation and classification of breast tumors from ultrasound images. Computers in Biology and Medicine. 173. 108319–108319. 16 indexed citations

Su, Hang, et al.. (2024). Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models. 8120–8128. 1 indexed citations

Hai, Chen, et al.. (2024). Empowering Object Detection: Unleashing the Potential of Decoupled and Interactive Distillation. IEEE Transactions on Intelligent Transportation Systems. 26(1). 544–557.

Su, Hang, Dong Zhao, Ali Asghar Heidari, et al.. (2023). RIME: A physics-based optimization. Neurocomputing. 532. 183–214. 594 indexed citations breakdown →

Su, Hang, Dong Zhao, Ali Asghar Heidari, et al.. (2023). Kernel extreme learning with harmonized bat algorithm for prediction of pyrene toxicity in rats. Basic & Clinical Pharmacology & Toxicology. 134(2). 250–271. 1 indexed citations

Dong, Yinpeng, et al.. (2023). Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. 1577–1587. 17 indexed citations

10.

Yin, Zhaoxia, et al.. (2023). FTG: Score-based black-box watermarking by fragile trigger generation for deep model integrity verification. SHILAP Revista de lepidopterología. 2(1). 28–41. 4 indexed citations

11.

Zhang, Bo, Jun Zhu, & Hang Su. (2023). Toward the third generation artificial intelligence. Science China Information Sciences. 66(2). 94 indexed citations breakdown →

12.

Hao, Zhongkai, et al.. (2023). On the Reuse Bias in Off-Policy Reinforcement Learning. 4513–4521.

13.

Yang, Xiao, Heng Yin, Jianteng Peng, et al.. (2023). AdvFAS: A robust face anti-spoofing framework against adversarial examples. Computer Vision and Image Understanding. 235. 103779–103779. 4 indexed citations

14.

Su, Hang, Dong Zhao, Fanhua Yu, et al.. (2022). Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques. Frontiers in Neuroinformatics. 16. 1029690–1029690. 5 indexed citations

15.

Su, Hang, et al.. (2022). Detecting obstructive sleep apnea by craniofacial image–based deep learning. Sleep And Breathing. 26(4). 1885–1895. 12 indexed citations

16.

Wei, Kang, Jun Li, Ming Ding, et al.. (2021). User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization. IEEE Transactions on Mobile Computing. 21(9). 3388–3401. 180 indexed citations breakdown →

17.

Bao, Fan, Chongxuan Li, Kun Xu, et al.. (2020). Bi-level Score Matching for Learning Energy-based Latent Variable Models. Neural Information Processing Systems. 33. 18110–18122. 1 indexed citations

18.

Huang, Shiyu, Hang Su, Jun Zhu, & Ting Chen. (2020). SVQN: Sequential Variational Soft Q-Learning Networks. International Conference on Learning Representations. 2 indexed citations

19.

Zhou, Qin, Heng Fan, Hua Yang, et al.. (2019). Robust and Efficient Graph Correspondence Transfer for Person Re-Identification. IEEE Transactions on Image Processing. 30. 1623–1638. 21 indexed citations

20.

Yin, Zhaozheng, Hang Su, Dai Fei Elmer Ker, Mingzhong Li, & Haohan Li. (2015). Cell-sensitive phase contrast microscopy imaging by multiple exposures. Medical Image Analysis. 25(1). 111–121. 11 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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