Bingyan Liu

804 total citations · 1 hit paper
29 papers, 377 citations indexed

About

Bingyan Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Bingyan Liu has authored 29 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Bingyan Liu's work include Privacy-Preserving Technologies in Data (10 papers), Adversarial Robustness in Machine Learning (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Bingyan Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (10 papers), Adversarial Robustness in Machine Learning (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Bingyan Liu collaborates with scholars based in China, Singapore and Spain. Bingyan Liu's co-authors include Yao Guo, Xiangqun Chen, Yuanchun Li, Yawen Li, Yunxin Liu, Li Ding, Qiang Wang, Ding Li, Ziqi Zhang and Kaitai Liang and has published in prestigious journals such as Nature Communications, Chemical Communications and Neurocomputing.

In The Last Decade

Bingyan Liu

26 papers receiving 368 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.

Recent advances on federated learning: A systematic survey

2024 55 citations Bingyan Liu, Yawen Li et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bingyan Liu China	10	233	69	62	53	44	29	377
Li Hu China	8	214 0.9×	90 1.3×	49 0.8×	41 0.8×	57 1.3×	27	348
Xiaomin Ouyang Hong Kong	9	277 1.2×	134 1.9×	94 1.5×	35 0.7×	75 1.7×	19	425
Junli Li China	11	133 0.6×	92 1.3×	88 1.4×	78 1.5×	30 0.7×	32	404
Da Li United States	7	142 0.6×	59 0.9×	56 0.9×	72 1.4×	69 1.6×	17	280
Marek Grześ United Kingdom	12	324 1.4×	49 0.7×	48 0.8×	47 0.9×	27 0.6×	34	469
Boran Yang China	10	105 0.5×	52 0.8×	175 2.8×	82 1.5×	86 2.0×	25	369
Saumay Pushp South Korea	7	101 0.4×	92 1.3×	137 2.2×	71 1.3×	90 2.0×	16	316
Börje F. Karlsson China	10	290 1.2×	79 1.1×	84 1.4×	82 1.5×	52 1.2×	33	465
Xiaoguang Li China	9	183 0.8×	82 1.2×	114 1.8×	28 0.5×	50 1.1×	36	362

Countries citing papers authored by Bingyan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Bingyan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingyan Liu

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

Liu, Bingyan, Songhao Guo, Kejun Bu, et al.. (2025). The pressure-induced photoconductivity enhancement of black-TiO₂. Chemical Communications. 61(37). 6807–6810.

2.

Yang, Jing, et al.. (2025). Multiple Sclerosis Detection with Reinforcement Learning and Differential Evolution. 1–5.

3.

Zhao, Meng, Pengfei Li, Bingyan Liu, et al.. (2025). Slow and highly confined plasmons observed in atomically thin TaS2. Nature Communications. 16(1). 5801–5801. 1 indexed citations

4.

Liu, Bingyan, et al.. (2025). CPAT: cross-patch aggregated transformer for time series forecasting. Machine Learning. 114(5). 1 indexed citations

5.

Lu, Wenlong, et al.. (2024). Parallel dual adaptive genetic algorithm: A method for satellite constellation task assignment in time-sensitive target tracking. Advances in Space Research. 74(10). 5192–5213. 4 indexed citations

6.

Lu, Wenlong, Weihua Gao, Bingyan Liu, et al.. (2024). Reinforcement Learning Driven Time-Sensitive Moving Target Tracking of Intelligent Agile Satellite. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 9085–9101. 6 indexed citations

7.

Wang, Qiang, Bingyan Liu, & Yawen Li. (2024). Traceable Federated Continual Learning. 12872–12881. 8 indexed citations

8.

Wang, Chengyu, Bingyan Liu, Xinyi Zou, et al.. (2024). PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. 1–8. 2 indexed citations

9.

Yang, Biao, et al.. (2024). Research on the optimization of the temperature field distribution of a multi-source microwave agent system based on event-triggered. Chemical Engineering and Processing - Process Intensification. 198. 109727–109727. 2 indexed citations

10.

Liu, Bingyan, et al.. (2024). Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. 7817–7826. 4 indexed citations

11.

Yuan, Yuanyuan, et al.. (2024). No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3327–3345. 11 indexed citations

12.

Liu, Bingyan, et al.. (2024). Image-based molecular representation learning for drug development: a survey. Briefings in Bioinformatics. 25(4). 5 indexed citations

13.

Liu, Bingyan, et al.. (2024). Recent advances on federated learning: A systematic survey. Neurocomputing. 597. 128019–128019. 55 indexed citations breakdown →

14.

Wang, Chengyu, et al.. (2023). BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. 1–11. 5 indexed citations

15.

Liu, Bingyan, Chengyu Wang, Ziheng Wu, et al.. (2023). Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. 295–304. 3 indexed citations

16.

Zhang, Ziqi, et al.. (2022). TEESlice: slicing DNN models for secure and efficient deployment. 1–8. 9 indexed citations

17.

Zhang, Ziqi, Yuanchun Li, Jindong Wang, et al.. (2022). ReMoS. 1856–1868. 17 indexed citations

18.

Liu, Bingyan, Yao Guo, & Xiangqun Chen. (2021). PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. 923–934. 70 indexed citations

19.

Xu, Guangquan, Bingyan Liu, Xiaotong Li, et al.. (2020). Trust2Privacy: A Novel Fuzzy Trust-to-Privacy Mechanism for Mobile Social Networks. IEEE Wireless Communications. 27(3). 72–78. 17 indexed citations

20.

Liu, Bingyan, Yao Guo, & Xiangqun Chen. (2019). WealthAdapt. 2179–2187. 8 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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