Zhiling Cai

557 total citations · 1 hit paper
30 papers, 334 citations indexed

About

Zhiling Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Zhiling Cai has authored 30 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Zhiling Cai's work include Face and Expression Recognition (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Zhiling Cai is often cited by papers focused on Face and Expression Recognition (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Zhiling Cai collaborates with scholars based in China, United States and Australia. Zhiling Cai's co-authors include William Zhu, Xiaofei Yang, Ruijia Li, Saiqi Tian, Shiping Wang, Lijin Wang, Shide Du, Zhihao Wu, Huicheng Li and Zhuo Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Sensors.

In The Last Decade

Zhiling Cai

29 papers receiving 324 citations

Hit Papers

PC-YOLO11s: A Lightweight and Effective Feature Extractio... 2025 2026 2025 5 10 15 20
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. PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection
    2025 21 citations Zhuo Wang, Yuting Su et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiling Cai China 9 191 145 35 35 30 30 334
Qiong Luo Hong Kong 9 160 0.8× 151 1.0× 20 0.6× 54 1.5× 17 0.6× 30 343
Jianhua Chen China 10 118 0.6× 98 0.7× 20 0.6× 52 1.5× 69 2.3× 57 321
Yiyang Gu China 8 230 1.2× 86 0.6× 28 0.8× 47 1.3× 22 0.7× 15 341
Qingsheng Ren China 8 220 1.2× 125 0.9× 23 0.7× 27 0.8× 35 1.2× 20 305
Ang Yang China 8 152 0.8× 107 0.7× 25 0.7× 16 0.5× 20 0.7× 16 400
Jiming Liu China 8 290 1.5× 236 1.6× 24 0.7× 20 0.6× 21 0.7× 16 422
William Pentney United States 8 127 0.7× 164 1.1× 24 0.7× 35 1.0× 19 0.6× 8 312
Ling Ding China 10 177 0.9× 94 0.6× 15 0.4× 21 0.6× 13 0.4× 43 371

Countries citing papers authored by Zhiling Cai

Since Specialization
Citations

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

Fields of papers citing papers by Zhiling Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiling Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiling Cai. A scholar is included among the top collaborators of Zhiling Cai 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 Zhiling Cai. Zhiling Cai 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.
Li, Huicheng, et al.. (2025). YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection. Sensors. 25(5). 1635–1635. 8 indexed citations
2.
Cai, Zhiling, et al.. (2025). SCHG: Spectral Clustering-guided Hypergraph Neural Networks for Multi-view Semi-supervised Learning. Expert Systems with Applications. 277. 127242–127242. 2 indexed citations
3.
Wang, Zhuo, Yuting Su, Feng Kang, et al.. (2025). PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection. Sensors. 25(2). 348–348. 21 indexed citations breakdown →
4.
Wang, Liangying, L. Jeff Hong, Huirong Fu, et al.. (2025). Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update. Swarm and Evolutionary Computation. 94. 101890–101890. 8 indexed citations
5.
Du, Shide, et al.. (2024). UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. IEEE Transactions on Image Processing. 33. 3399–3412. 15 indexed citations
6.
Du, Shide, et al.. (2024). Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. IEEE Transactions on Multimedia. 26. 8889–8901. 14 indexed citations
7.
Fu, Lele, et al.. (2024). Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1728–1742. 1 indexed citations
8.
Wu, Zhihao, et al.. (2024). Towards Multi-view Consistent Graph Diffusion. 186–195. 6 indexed citations
9.
Wu, Zhihao, et al.. (2024). Heterogeneous Graph Embedding with Dual Edge Differentiation. Neural Networks. 183. 106965–106965. 2 indexed citations
10.
Wang, Sumei, et al.. (2024). Correlation Between Maternal Anxiety During Mid-Pregnancy and Subsequent Infant Sleep Issues: A Cross-Sectional Study from 2015 to 2016. International Journal of General Medicine. Volume 17. 623–633. 2 indexed citations
11.
Cai, Zhiling, et al.. (2023). Elementary school teachers’ attitudes towards project-based learning in China. Humanities and Social Sciences Communications. 10(1). 6 indexed citations
12.
Zhu, Xiang, et al.. (2022). Fast spectral clustering with self-weighted features. Journal of Nonlinear and Variational Analysis. 6(1). 9 indexed citations
13.
14.
Cai, Zhiling, et al.. (2022). Preservice teachers’ teaching internship affects professional identity: Self-efficacy and learning engagement as mediators. Frontiers in Psychology. 13. 1070763–1070763. 12 indexed citations
15.
Li, Ruijia & Zhiling Cai. (2022). A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities. Applied Intelligence. 53(2). 2098–2109. 4 indexed citations
16.
Li, Ruijia, et al.. (2021). Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning. Knowledge-Based Systems. 225. 107128–107128. 7 indexed citations
17.
Cai, Zhiling, et al.. (2021). Saliency: a new selection criterion of important architectures in neural architecture search. Neural Computing and Applications. 34(2). 1269–1283. 3 indexed citations
18.
Zhang, Yue, Honghui Li, Shuangqin Yan, et al.. (2020). The Possible Effects of Breastfeeding on Infant Development at 3 Months: A Case–Control Study. Breastfeeding Medicine. 15(10). 662–670. 1 indexed citations
19.
Cai, Zhiling, et al.. (2019). A new similarity combining reconstruction coefficient with pairwise distance for agglomerative clustering. Information Sciences. 508. 173–182. 45 indexed citations
20.
Cai, Zhiling, et al.. (2005). Petri nets for robot lattices. 4. 999–1004.

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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