Zhicai Liu

1.1k total citations
72 papers, 737 citations indexed

About

Zhicai Liu is a scholar working on Artificial Intelligence, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhicai Liu has authored 72 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Surgery and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhicai Liu's work include Esophageal Cancer Research and Treatment (10 papers), Advanced Memory and Neural Computing (9 papers) and Cryptography and Data Security (7 papers). Zhicai Liu is often cited by papers focused on Esophageal Cancer Research and Treatment (10 papers), Advanced Memory and Neural Computing (9 papers) and Cryptography and Data Security (7 papers). Zhicai Liu collaborates with scholars based in China, Spain and Malaysia. Zhicai Liu's co-authors include Ling Xiong, Zheng Pei, Keyun Qin, Tu Peng, Jun Wang, Hong Peng, Xiaoguang Zhou, Hao Dang, Daiyuan Peng and Hongbin Liang and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Zhicai Liu

66 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhicai Liu China 15 155 139 126 98 94 72 737
Yuhui Qiu China 14 82 0.5× 227 1.6× 114 0.9× 60 0.6× 35 0.4× 93 592
Paul A. Gagniuc Romania 8 123 0.8× 90 0.6× 29 0.2× 47 0.5× 42 0.4× 25 679
Guoyan Wang China 13 245 1.6× 189 1.4× 131 1.0× 143 1.5× 47 0.5× 50 926
Weijie Liu China 12 307 2.0× 604 4.3× 69 0.5× 42 0.4× 57 0.6× 72 1.4k
Bo Song China 18 58 0.4× 118 0.8× 47 0.4× 294 3.0× 53 0.6× 85 1.1k
Michael Mayo New Zealand 15 135 0.9× 147 1.1× 31 0.2× 48 0.5× 30 0.3× 55 676
A. Fazel Famili Canada 10 132 0.9× 219 1.6× 97 0.8× 38 0.4× 36 0.4× 22 625
Jingxuan Liu China 17 361 2.3× 280 2.0× 46 0.4× 29 0.3× 156 1.7× 38 1.1k
Haza Nuzly Abdull Hamed Malaysia 12 209 1.3× 483 3.5× 75 0.6× 44 0.4× 102 1.1× 42 1.0k

Countries citing papers authored by Zhicai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhicai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhicai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhicai Liu. A scholar is included among the top collaborators of Zhicai 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 Zhicai Liu. Zhicai Liu 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.
Peng, Hong, et al.. (2025). Enhanced multi-Scale Dynamic Facial Expression Recognition via Conditional Random Fields. The Visual Computer. 41(15). 12905–12916. 1 indexed citations
2.
Lei, Runhong, Zhicai Liu, Yue Tian, et al.. (2025). Intratumoral Delivery of High Boron-Containing Carbon Quantum Dots for Enhanced Boron Neutron Capture Therapy. ACS Applied Bio Materials. 8(6). 5138–5146.
3.
Peng, Hong, et al.. (2025). ODCS-NSNP: Optic disc and cup segmentation using deep networks enhanced by nonlinear spiking neural P systems. Biomedical Signal Processing and Control. 108. 107935–107935.
4.
Peng, Hong, et al.. (2025). A ultra fusion network model based on nonlinear spiking neural P systems for infrared small target detection. Optics & Laser Technology. 189. 113001–113001. 2 indexed citations
5.
Peng, Hong, et al.. (2025). The parallel visual perception network based on nonlinear spiking neural P systems for camouflaged object detection. Knowledge-Based Systems. 330. 114532–114532.
6.
Wang, Li, et al.. (2025). A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer. International Journal of Neural Systems. 35(11). 2550045–2550045.
7.
Peng, Hong, et al.. (2024). A semantic segmentation method integrated convolutional nonlinear spiking neural model with Transformer. Computer Vision and Image Understanding. 249. 104196–104196. 5 indexed citations
8.
Peng, Hong, et al.. (2024). Spiking neural self-attention network for sequence recommendation. Applied Soft Computing. 169. 112623–112623. 4 indexed citations
9.
Zhou, Chi, et al.. (2024). Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model. Neural Networks. 177. 106366–106366. 13 indexed citations
10.
Peng, Hong, et al.. (2024). A Parallel Convolutional Network Based on Spiking Neural Systems. International Journal of Neural Systems. 34(5). 2450022–2450022. 13 indexed citations
11.
Peng, Hong, et al.. (2024). LMFUNet: A Lightweight Multi-fusion UNet Based on Spiking Neural Systems for Skin Lesion Segmentation. IEEE Access. 12. 197687–197698. 1 indexed citations
12.
Peng, Hong, et al.. (2024). Referring Image Segmentation with Multi-Modal Feature Interaction and Alignment Based on Convolutional Nonlinear Spiking Neural Membrane Systems. International Journal of Neural Systems. 34(12). 2450064–2450064. 4 indexed citations
13.
Peng, Hong, et al.. (2024). Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models. International Journal of Neural Systems. 34(6). 2450032–2450032. 7 indexed citations
14.
Peng, Hong, et al.. (2024). Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers. International Journal of Neural Systems. 34(7). 2450035–2450035. 10 indexed citations
15.
Peng, Hong, et al.. (2024). NSNP-DFER: A Nonlinear Spiking Neural P Network for Dynamic Facial Expression Recognition. Computers & Electrical Engineering. 115. 109125–109125. 8 indexed citations
16.
Lin, Zhongli, Hanqiu Xu, Xisheng Hu, et al.. (2024). Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology. Building and Environment. 265. 112017–112017. 21 indexed citations
17.
Xu, Zhanghua, Zhenbang Hao, Lin Wang, et al.. (2023). Mapping of bamboo forest bright and shadow areas using optical and SAR satellite data in Google Earth Engine. Geocarto International. 38(1). 8 indexed citations
18.
Xiong, Ling, et al.. (2019). An Efficient Privacy-aware Authentication Scheme for Distributed Mobile Cloud Computing Services without Bilinear Pairings.. Journal of information science and engineering. 35. 341–360. 3 indexed citations
19.
Liu, Zhicai. (2007). Influence of Water Quality Improvement on Incidence and Mortality with Esophageal Cancer in Linzhou, Henan. 1 indexed citations
20.
Yang, Xian, Xiaohong Chen, & Zhicai Liu. (2000). Effects of boron and molybdenum nutrition on curd yield and active oxygen metabolism in broccoli (Brassica oleracea var. italica).. Acta Horticulturae Sinica. 27(2). 112–116. 7 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

Rankless by CCL
2026