Ge Yu

6.4k total citations
380 papers, 3.8k citations indexed

About

Ge Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ge Yu has authored 380 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Artificial Intelligence, 117 papers in Computer Networks and Communications and 105 papers in Information Systems. Recurrent topics in Ge Yu's work include Data Management and Algorithms (79 papers), Graph Theory and Algorithms (42 papers) and Advanced Graph Neural Networks (41 papers). Ge Yu is often cited by papers focused on Data Management and Algorithms (79 papers), Graph Theory and Algorithms (42 papers) and Advanced Graph Neural Networks (41 papers). Ge Yu collaborates with scholars based in China, United States and Australia. Ge Yu's co-authors include Nan Guan, Wang Yi, Yu Gu, Martin Stigge, Yanfeng Zhang, Guoren Wang, Xiaokui Xiao, Yin Yang, Jia Xu and Daling Wang and has published in prestigious journals such as Chemical Engineering Journal, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ge Yu

341 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge Yu China	30	1.6k	1.1k	721	660	641	380	3.8k
Bin Yao China	27	794 0.5×	1.7k 1.6×	1.3k 1.8×	711 1.1×	770 1.2×	105	3.2k
Xiaoyong Du China	29	1.9k 1.1×	824 0.8×	1.1k 1.5×	145 0.2×	430 0.7×	317	3.5k
Gang Chen China	31	1.6k 1.0×	1.4k 1.3×	1.6k 2.3×	140 0.2×	866 1.4×	214	3.9k
George Forman United States	21	1.9k 1.2×	902 0.8×	1.2k 1.6×	130 0.2×	409 0.6×	42	3.8k
Kai Zheng China	46	2.2k 1.4×	1.8k 1.7×	1.8k 2.5×	369 0.6×	1.6k 2.4×	357	7.0k
Domenico Talia Italy	30	863 0.5×	2.0k 1.8×	1.3k 1.8×	399 0.6×	222 0.3×	214	3.5k
Reynold Xin United States	17	1.4k 0.9×	2.0k 1.8×	1.8k 2.4×	291 0.4×	652 1.0×	23	3.9k
Kalyan Veeramachaneni United States	21	1.3k 0.8×	471 0.4×	363 0.5×	298 0.5×	286 0.4×	82	2.5k
Xiao Qin United States	26	660 0.4×	2.0k 1.8×	1.7k 2.3×	488 0.7×	302 0.5×	217	3.2k
Maarten van Steen Netherlands	36	1.3k 0.8×	4.7k 4.3×	1.8k 2.4×	329 0.5×	549 0.9×	224	5.8k

Countries citing papers authored by Ge Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ge Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Tao, Peng Liu, Ge Yu, et al.. (2025). XGBoost algorithm-guided synthesis of violet phosphorus/MoAlB-MBene nanozyme for portable wireless intelligent sensing of sesamol in different varieties of sesame seeds. Chemical Engineering Journal. 506. 160080–160080. 2 indexed citations

Zhang, Yanfeng, et al.. (2025). MMFed: A Multimodal Federated Learning Framework for Heterogeneous Devices. IEEE Internet of Things Journal. 12(18). 36893–36907.

He, Xue Dong, Tiancheng Zhang, Minghe Yu, et al.. (2025). A probabilistic optimizer for binary neural networks. Neurocomputing. 648. 130297–130297.

Wang, Min, et al.. (2025). Efficient Measurement of Orbital Angular Momentum Entanglement Using Convolutional Neural Network. Laser & Photonics Review. 19(8). 2 indexed citations

Wang, Yaqi, et al.. (2024). Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. 4316–4328.

Bao, Yubin, et al.. (2024). A Semi-Supervised Active Learning Method for Structured Data Enhancement with Small Samples. Mathematics. 12(17). 2634–2634. 1 indexed citations

Shen, Derong, Xiangmin Zhou, Yue Kou, et al.. (2024). Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy. 508–518.

Yu, Minghe, et al.. (2024). HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs. IEEE Transactions on Knowledge and Data Engineering. 37(4). 1871–1884. 1 indexed citations

Nie, Tiezheng, et al.. (2024). SMPTC3: Secure Multi-Party Protocol Based Trusted Cross-Chain Contracts. Mathematics. 12(16). 2562–2562. 1 indexed citations

10.

Song, Jie, Pengyi Zhang, Qiang Qu, et al.. (2023). Why blockchain needs graph: A survey on studies, scenarios, and solutions. Journal of Parallel and Distributed Computing. 180. 104730–104730. 8 indexed citations

11.

Yang, Xiaomei, Zhihua Wang, Ge Yu, et al.. (2023). Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture—Using Liaoning Province, China as an Example. Remote Sensing. 15(24). 5781–5781. 17 indexed citations

12.

Gu, Yu, et al.. (2018). Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data. IEEE Transactions on Knowledge and Data Engineering. 30(11). 2037–2050. 5 indexed citations

13.

Qu, Wen, Yifei Zhang, Daling Wang, Shi Feng, & Ge Yu. (2015). Semantic movie summarization based on string of IE-RoleNets. Computational Visual Media. 1(2). 129–141. 11 indexed citations

14.

Gu, Yu, et al.. (2014). An Efficient Method for k Nearest Neighbor Searching in Obstructed Spatial Databases. Journal of information science and engineering. 30(5). 1569–1583. 10 indexed citations

15.

Gu, Yu, Ge Yu, & Na Guo. (2013). Triggered Moving Range Queries over RFID Monitored Objects. Journal of information science and engineering. 29. 401–416. 1 indexed citations

16.

Yao, Yu, et al.. (2013). Modeling and Analysis of Bifurcation in a Delayed Worm Propagation Model. Journal of Applied Mathematics. 2013. 1–11. 6 indexed citations

17.

Wang, Yanqiu, et al.. (2012). Optimal k-constraint coverage queries on spatial objects. Australasian Database Conference. 41–50. 1 indexed citations

18.

Yang, Xiaochun, Bin Wang, Guoren Wang, & Ge Yu. (2010). Enhancing Keyword Search in Relational Databases Using Nearly Duplicate Records.. IEEE Data(base) Engineering Bulletin. 33. 60–66. 3 indexed citations

19.

Guan, Nan, Zonghua Gu, Wang Yi, & Ge Yu. (2009). Improving scalability of model-checking for minimizing buffer requirements of synchronous dataflow graphs. Asia and South Pacific Design Automation Conference. 715–720. 5 indexed citations

20.

Zhou, Xiangmin, Guoren Wang, Jeffrey Xu Yu, & Ge Yu. (2003). M + -tree: a new dynamical multidimensional index for metric spaces. Australasian Database Conference. 161–168. 22 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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