Ying Zhang

15.5k total citations · 2 hit papers
741 papers, 9.1k citations indexed

About

Ying Zhang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ying Zhang has authored 741 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Artificial Intelligence, 204 papers in Computer Networks and Communications and 171 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ying Zhang's work include Data Management and Algorithms (139 papers), Complex Network Analysis Techniques (70 papers) and Advanced Database Systems and Queries (64 papers). Ying Zhang is often cited by papers focused on Data Management and Algorithms (139 papers), Complex Network Analysis Techniques (70 papers) and Advanced Database Systems and Queries (64 papers). Ying Zhang collaborates with scholars based in China, Australia and United States. Ying Zhang's co-authors include Xuemin Lin, Wenjie Zhang, Lu Qin, Quan Zhou, Weilai Huang, Xiaoyang Wang, Jeffrey Xu Yu, Lijun Chang, Muhammad Aamir Cheema and Haichuan Shang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Ying Zhang

635 papers receiving 8.8k citations

Hit Papers

A survey of community search over big graphs 2019 2026 2021 2023 2019 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Zhang China 46 2.8k 2.7k 2.7k 2.4k 1.5k 741 9.1k
Kian‐Lee Tan Singapore 49 3.5k 1.3× 4.0k 1.4× 4.9k 1.9× 1.9k 0.8× 1.1k 0.7× 392 11.0k
Dimitrios Gunopulos United States 48 4.6k 1.7× 4.4k 1.6× 2.7k 1.0× 2.3k 0.9× 812 0.5× 234 10.1k
Yannis Manolopoulos Greece 41 2.8k 1.0× 3.4k 1.3× 2.3k 0.9× 1.3k 0.6× 565 0.4× 301 7.9k
Michalis Vazirgiannis Greece 36 3.2k 1.1× 1.7k 0.6× 1.5k 0.6× 1.2k 0.5× 1.3k 0.9× 157 7.0k
Fosca Giannotti Italy 44 3.7k 1.3× 1.9k 0.7× 1.1k 0.4× 935 0.4× 1.1k 0.7× 190 10.3k
Gao Cong Singapore 53 3.5k 1.3× 4.1k 1.5× 2.6k 1.0× 1.4k 0.6× 1.5k 1.0× 297 10.8k
Dino Pedreschi Italy 43 4.1k 1.5× 1.6k 0.6× 820 0.3× 799 0.3× 927 0.6× 204 9.1k
Ravi Kumar United States 42 3.5k 1.3× 1.2k 0.4× 1.5k 0.5× 1.2k 0.5× 1.3k 0.9× 147 6.6k
Tao Li United States 45 4.7k 1.7× 1.5k 0.6× 1.6k 0.6× 2.0k 0.8× 877 0.6× 257 8.9k
Xiaofang Zhou China 58 4.3k 1.6× 4.7k 1.7× 2.6k 1.0× 3.6k 1.5× 583 0.4× 613 14.4k

Countries citing papers authored by Ying Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhang. A scholar is included among the top collaborators of Ying 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 Ying Zhang. Ying 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.
Yang, Kun, et al.. (2025). A multi-stage deep learning network toward multi-classification of polyps in colorectal images. Alexandria Engineering Journal. 119. 189–200.
2.
Zhang, Ying, et al.. (2024). UDANet: An unsupervised domain adaptive vehicle density estimation network based on joint adversarial learning. Engineering Applications of Artificial Intelligence. 137. 109138–109138.
3.
Huang, Yu, et al.. (2024). Multi-objective particle swarm optimization for optimal scheduling of household microgrids. Frontiers in Energy Research. 11. 9 indexed citations
5.
Zhang, Ying, et al.. (2024). Kolmogorov–Arnold Finance-Informed Neural Network in Option Pricing. Applied Sciences. 14(24). 11618–11618. 3 indexed citations
6.
Zhao, Lijun, et al.. (2024). CGLight: An effective indoor illumination estimation method based on improved convmixer and GauGAN. Computers & Graphics. 125. 104122–104122. 1 indexed citations
7.
Wang, Hanchen, et al.. (2024). Deep Learning Approaches for Similarity Computation: A Survey. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7893–7912. 4 indexed citations
8.
Wang, Jinghao, Yanping Wu, Xiaoyang Wang, et al.. (2024). Efficient Influence Minimization via Node Blocking. Proceedings of the VLDB Endowment. 17(10). 2501–2513. 7 indexed citations
9.
10.
Xu, Yuanyuan, Wenjie Zhang, Ying Zhang, Maria E. Orłowska, & Xuemin Lin. (2024). TimeSGN: Scalable and Effective Temporal Graph Neural Network. 3297–3310. 3 indexed citations
11.
Wei, Jing, Rui Cheng, Ying Zhang, et al.. (2023). L-shell x-ray production cross sections in 50Sn by 100 keV–300 keV protons. Radiation Physics and Chemistry. 206. 110789–110789. 1 indexed citations
12.
Chen, Chen, et al.. (2023). Efficient Maximum Signed Biclique Identification. Research Online (University of Wollongong). 1313–1325. 5 indexed citations
13.
Gao, Fei, et al.. (2023). An integrated hesitant 2-tuple linguistic Pythagorean fuzzy decision-making method for single-pilot operations mechanism evaluation. Engineering Applications of Artificial Intelligence. 130. 107771–107771. 9 indexed citations
14.
Zhang, Ying, Guoliang Cai, Jiajie Sun, et al.. (2023). Real time NIR detection of biogenic amine using an Yb4L4 tetrahedron. Optical Materials. 147. 114790–114790.
15.
Zhang, Ying, et al.. (2023). DSNet: A vehicle density estimation network based on multi-scale sensing of vehicle density in video images. Expert Systems with Applications. 234. 121020–121020. 8 indexed citations
16.
Fu, Yuli, et al.. (2021). Joint Depth and Density Guided Single Image De-Raining. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4108–4121. 20 indexed citations
17.
Li, Wentao, Miao Qiao, Lu Qin, et al.. (2021). Distance labeling: on parallelism, compression, and ordering. The VLDB Journal. 31(1). 129–155. 3 indexed citations
18.
Zhang, Ying, et al.. (2015). Measure of Information Content of Remotely Sensed Images Accounting for Spatial Correlation. SHILAP Revista de lepidopterología. 4 indexed citations
19.
Zhang, Ying, et al.. (2015). Minimizing control variation in discrete-time optimal control problems. Journal of Computational and Applied Mathematics. 292. 292–306. 7 indexed citations
20.
Zhang, Ying, et al.. (2014). New formulae of BBP-type modulo 6. Quaestiones Mathematicae. 37(3). 393–400. 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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