Jilian Zhang

2.0k total citations
42 papers, 1.2k citations indexed

About

Jilian Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jilian Zhang has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Jilian Zhang's work include Data Management and Algorithms (7 papers), Data Mining Algorithms and Applications (6 papers) and Face and Expression Recognition (6 papers). Jilian Zhang is often cited by papers focused on Data Management and Algorithms (7 papers), Data Mining Algorithms and Applications (6 papers) and Face and Expression Recognition (6 papers). Jilian Zhang collaborates with scholars based in China, Singapore and Australia. Jilian Zhang's co-authors include Shichao Zhang, Xiaofeng Zhu, Jian Weng, Xuelian Deng, Yuqing Li, Faliang Huang, Chengqi Zhang, HweeHwa Pang, Kyriakos Mouratidis and Yongsong Qin and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Jilian Zhang

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jilian Zhang China 17 794 333 268 114 110 42 1.2k
Shlomo Geva Australia 16 661 0.8× 212 0.6× 336 1.3× 129 1.1× 80 0.7× 155 1.1k
Xiaoyong Liu China 17 773 1.0× 335 1.0× 557 2.1× 99 0.9× 78 0.7× 60 1.4k
Lantao Yu United States 9 930 1.2× 664 2.0× 230 0.9× 219 1.9× 96 0.9× 27 1.6k
Andreas Stafylopatis Greece 20 747 0.9× 335 1.0× 203 0.8× 75 0.7× 121 1.1× 125 1.4k
Wu Xiaoyun United States 12 889 1.1× 393 1.2× 234 0.9× 131 1.1× 58 0.5× 18 1.4k
Ayhan Demiriz Türkiye 11 888 1.1× 550 1.7× 168 0.6× 148 1.3× 114 1.0× 30 1.4k
Ulf Brefeld Germany 20 891 1.1× 381 1.1× 151 0.6× 187 1.6× 232 2.1× 64 1.4k
Miloš Radovanović Serbia 17 729 0.9× 306 0.9× 152 0.6× 284 2.5× 123 1.1× 60 1.2k

Countries citing papers authored by Jilian Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jilian Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jilian Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jilian Zhang. A scholar is included among the top collaborators of Jilian Zhang 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 Jilian Zhang. Jilian Zhang 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.
Ma, Junbo, et al.. (2024). Graph augmentation for node-level few-shot learning. Knowledge-Based Systems. 297. 111872–111872. 2 indexed citations
2.
Wen, Guoqiu, et al.. (2024). Noise-resistant graph neural networks with manifold consistency and label consistency. Expert Systems with Applications. 245. 123120–123120. 2 indexed citations
3.
Cao, Dongliang, Kaimin Wei, Yongdong Wu, et al.. (2023). FePN: A robust feature purification network to defend against adversarial examples. Computers & Security. 134. 103427–103427. 6 indexed citations
4.
Zhang, Jilian, et al.. (2023). Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems. 2274–2283. 6 indexed citations
5.
Mao, Yijun, et al.. (2023). Authenticating q-Gram-Based Similarity Search Results for Outsourced String Databases. Mathematics. 11(9). 2128–2128. 1 indexed citations
6.
Wei, Kaimin, Yongdong Wu, Zhetao Li, et al.. (2022). High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 9(19). 18487–18499. 28 indexed citations
7.
Zhang, Yinyan, Jilian Zhang, & Jian Weng. (2022). Dynamic Moore–Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10919–10929. 29 indexed citations
8.
Huang, Faliang, Xuelong Li, Changan Yuan, et al.. (2021). Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4332–4345. 151 indexed citations
9.
Gan, Jiangzhang, Tong Liu, Li Li, & Jilian Zhang. (2021). Non-negative Matrix Factorization: A Survey. The Computer Journal. 64(7). 1080–1092. 39 indexed citations
10.
Tang, Zhenjun, Man Ho Ling, Heng Yao, et al.. (2018). Robust Image Hashing via Random Gabor Filtering and DWT. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 55(2). 331–344. 10 indexed citations
11.
Zhu, Xiaofeng, et al.. (2018). Low-Rank Sparse Subspace for Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering. 31(8). 1532–1543. 174 indexed citations
12.
Huang, Faliang, Xuelong Li, Shichao Zhang, & Jilian Zhang. (2017). Harmonious Genetic Clustering. IEEE Transactions on Cybernetics. 48(1). 199–214. 20 indexed citations
13.
Huang, Faliang, Shichao Zhang, Jilian Zhang, & Ge Yu. (2017). Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing. 253. 144–153. 67 indexed citations
14.
Hu, Rongyao, Debo Cheng, Guoqiu Wen, et al.. (2016). Low-rank feature selection for multi-view regression. Multimedia Tools and Applications. 76(16). 17479–17495. 16 indexed citations
15.
Zhang, Jilian, Kyriakos Mouratidis, & HweeHwa Pang. (2011). Heuristic algorithms for balanced multi-way number partitioning. International Joint Conference on Artificial Intelligence. 693–698. 14 indexed citations
16.
Zhang, Jilian, Hoong Chuin Lau, & Jialie Shen. (2009). Setting discrete bid levels adaptively in repeated auctions. 195–204.
17.
Zhang, Shichao, Jilian Zhang, & Zhi Jin. (2009). A decremental algorithm of frequent itemset maintenance for mining updated databases. Expert Systems with Applications. 36(8). 10890–10895. 6 indexed citations
18.
Zhu, Xiaofeng, Shichao Zhang, Jilian Zhang, & Chengqi Zhang. (2007). Cost-sensitive imputing missing values with ordering. National Conference on Artificial Intelligence. 1922–1923. 20 indexed citations
19.
Zhang, Shichao, Jilian Zhang, & Chengqi Zhang. (2007). EDUA: An efficient algorithm for dynamic database mining. Information Sciences. 177(13). 2756–2767. 20 indexed citations
20.
Zhang, Shichao, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, & Chengqi Zhang. (2006). Kernel-Based Multi-Imputation for Missing Data. UTS ePRESS (University of Technology Sydney). 106–111. 3 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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