Hongfu Liu

3.7k total citations
109 papers, 2.7k citations indexed

About

Hongfu Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Hongfu Liu has authored 109 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 21 papers in Statistical and Nonlinear Physics. Recurrent topics in Hongfu Liu's work include Complex Network Analysis Techniques (21 papers), Advanced Clustering Algorithms Research (19 papers) and Face and Expression Recognition (18 papers). Hongfu Liu is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Advanced Clustering Algorithms Research (19 papers) and Face and Expression Recognition (18 papers). Hongfu Liu collaborates with scholars based in China, United States and Mexico. Hongfu Liu's co-authors include Yun Fu, Zhiqiang Tao, Zhengming Ding, Wei Li, Junjie Wu, Xiaoxia Song, Ming Shao, Dacheng Tao, Handong Zhao and Tongliang Liu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Catalysis B: Environmental.

In The Last Decade

Hongfu Liu

106 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongfu Liu China	29	1.4k	1.2k	299	233	230	109	2.7k
Antonia Creswell United Kingdom	6	988 0.7×	1.1k 0.9×	229 0.8×	77 0.3×	91 0.4×	6	3.0k
Guoqiang Zhong China	21	1.1k 0.8×	947 0.8×	236 0.8×	73 0.3×	176 0.8×	115	3.8k
Li Pan China	27	838 0.6×	394 0.3×	147 0.5×	166 0.7×	110 0.5×	129	2.5k
Rui Wang China	27	480 0.4×	1.1k 0.9×	220 0.7×	96 0.4×	55 0.2×	292	3.0k
Yanming Guo China	15	1.0k 0.7×	1.3k 1.1×	253 0.8×	55 0.2×	110 0.5×	65	3.0k
Farhad Pourpanah China	20	1.3k 1.0×	627 0.5×	86 0.3×	64 0.3×	112 0.5×	37	2.9k
Xiaofeng He China	20	1.1k 0.8×	1.0k 0.8×	201 0.7×	25 0.1×	128 0.6×	81	3.0k
Yangyang Li China	30	1.1k 0.8×	1.1k 0.9×	774 2.6×	43 0.2×	176 0.8×	204	3.1k
Xiaohui Huang China	20	512 0.4×	426 0.4×	536 1.8×	131 0.6×	170 0.7×	104	2.0k
Kiri L. Wagstaff United States	25	1.7k 1.2×	1.0k 0.8×	214 0.7×	27 0.1×	191 0.8×	121	3.6k

Countries citing papers authored by Hongfu Liu

Since Specialization

Citations

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

Fields of papers citing papers by Hongfu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongfu Liu

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

All Works

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20 of 20 papers shown

Singh, Prashant, Qiang Li, Jiaqi Yang, et al.. (2025). Field-Enhanced catalysis: Integrating experiment, theory, and machine learning for catalytic innovation. Applied Catalysis B: Environmental. 382. 125901–125901.

Liu, Hongfu, Dongdong Zhou, Kai Zhang, et al.. (2024). Synergistic antitumor activity between HER2 antibody-drug conjugate and chemotherapy for treating advanced colorectal cancer. Cell Death and Disease. 15(3). 187–187. 12 indexed citations

Yuan, Xia, Dan Wang, Huijie Zhao, et al.. (2024). Silencing of tropomodulin 1 inhibits acute myeloid leukemia cell proliferation and tumor growth by elevating karyopherin alpha 2–mediated autophagy. Pharmacological Research. 207. 107327–107327. 6 indexed citations

Liu, Hongfu & Ye Wang. (2023). Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning. 15825–15838. 2 indexed citations

Liu, Hongfu, et al.. (2023). GMTDG: A Graph Generation Method for Mosaic Warfare Dynamic Kill Web. 19–24.

Liu, Hongfu, et al.. (2023). Searching High-value Edges Attack sequence through deep Reinforcement learning. Knowledge-Based Systems. 272. 110562–110562. 8 indexed citations

Wang, Wenhong, et al.. (2022). Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection. Remote Sensing. 14(5). 1156–1156. 4 indexed citations

Zhang, Xinxin, Hongfu Liu, Long Chen, et al.. (2022). Investigation on the Corrosion Resistance of T4C Titanium Alloy in Simulated Oilfield Solution. International Journal of Electrochemical Science. 17(12). 221213–221213. 6 indexed citations

Wang, Wenhong, et al.. (2021). Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data. Remote Sensing. 13(2). 268–268. 6 indexed citations

10.

Zhao, Han, et al.. (2021). On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. International Conference on Learning Representations. 25 indexed citations

11.

Ding, Zhengming, et al.. (2021). Implicit Semantic Response Alignment for Partial Domain Adaptation. Neural Information Processing Systems. 34. 4 indexed citations

12.

Zhao, Han, et al.. (2020). Deep Fair Clustering for Visual Learning. 9067–9076. 35 indexed citations

13.

Yu, Weiren, Zhengming Ding, Chunming Hu, & Hongfu Liu. (2019). Knowledge Reused Outlier Detection. IEEE Access. 7. 43763–43772. 8 indexed citations

14.

Ding, Zhengming & Hongfu Liu. (2019). Marginalized Latent Semantic Encoder for Zero-Shot Learning. IUScholarWorks (Indiana University). 6184–6192. 47 indexed citations

15.

Wang, Deqing, Junjie Wu, Hongfu Liu, et al.. (2019). Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Transactions on Cybernetics. 50(11). 4709–4721. 29 indexed citations

16.

Liu, Hongfu, Rui Zhao, Hong-Sheng Fang, et al.. (2017). Entropy-based consensus clustering for patient stratification. Bioinformatics. 33(17). 2691–2698. 66 indexed citations

17.

Zhao, Handong, Hongfu Liu, & Yun Fu. (2016). Incomplete multi-modal visual data grouping. International Joint Conference on Artificial Intelligence. 2392–2398. 112 indexed citations

18.

Chen, Hao, et al.. (2015). Analysis of a new pursuit-evasion game based on game theory. 875–880.

19.

Liu, Hongfu, et al.. (2011). CSAMT investigations in the faulted basin geothermal field, Shanxi, China. 2300–2303. 3 indexed citations

20.

Liu, Hongfu. (2004). Experimental Research on Radon Measurement Using Activated Charcoal in Field. Journal of Taiyuan University of 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.

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