Gao Cong

16.8k total citations · 8 hit papers
297 papers, 10.8k citations indexed

About

Gao Cong is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gao Cong has authored 297 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Signal Processing, 103 papers in Artificial Intelligence and 94 papers in Information Systems. Recurrent topics in Gao Cong's work include Data Management and Algorithms (106 papers), Advanced Database Systems and Queries (44 papers) and Geographic Information Systems Studies (43 papers). Gao Cong is often cited by papers focused on Data Management and Algorithms (106 papers), Advanced Database Systems and Queries (44 papers) and Geographic Information Systems Studies (43 papers). Gao Cong collaborates with scholars based in Singapore, China and United States. Gao Cong's co-authors include Christian S. Jensen, Quan Yuan, Aixin Sun, Xin Cao, Dingming Wu, Zongyang Ma, Lisi Chen, Xiucheng Li, Tuan-Anh Nguyen Pham and Nadia Magnenat‐Thalmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Analytical Chemistry.

In The Last Decade

Gao Cong

281 papers receiving 10.5k citations

Hit Papers

Time-aware point-of-interest recommendation 2009 2026 2014 2020 2013 2021 2010 2009 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gao Cong Singapore 53 4.1k 4.1k 3.5k 2.8k 2.6k 297 10.8k
Wang-Chien Lee United States 46 2.7k 0.6× 2.7k 0.7× 2.0k 0.6× 2.3k 0.8× 3.6k 1.4× 263 8.5k
Wei‐Ying Ma China 69 5.8k 1.4× 3.8k 0.9× 6.3k 1.8× 3.4k 1.2× 2.1k 0.8× 298 18.8k
Kian‐Lee Tan Singapore 49 2.9k 0.7× 4.0k 1.0× 3.5k 1.0× 626 0.2× 4.9k 1.9× 392 11.0k
Kai Zheng China 46 1.8k 0.4× 1.6k 0.4× 2.2k 0.6× 1.8k 0.6× 1.8k 0.7× 357 7.0k
Hongzhi Yin Australia 58 6.6k 1.6× 998 0.2× 6.0k 1.7× 2.2k 0.8× 1.5k 0.6× 308 10.5k
Yannis Manolopoulos Greece 41 2.2k 0.5× 3.4k 0.8× 2.8k 0.8× 487 0.2× 2.3k 0.9× 301 7.9k
Aixin Sun Singapore 45 3.7k 0.9× 854 0.2× 4.9k 1.4× 1.3k 0.5× 836 0.3× 223 8.7k
Xiaokui Xiao Singapore 53 1.7k 0.4× 1.7k 0.4× 6.2k 1.8× 570 0.2× 1.7k 0.7× 199 9.6k
Jeffrey Xu Yu Hong Kong 54 2.9k 0.7× 4.7k 1.1× 5.7k 1.6× 491 0.2× 4.8k 1.9× 418 11.8k
Reynold Cheng Hong Kong 40 1.2k 0.3× 2.5k 0.6× 2.2k 0.6× 471 0.2× 2.1k 0.8× 185 5.9k

Countries citing papers authored by Gao Cong

Since Specialization
Citations

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

Fields of papers citing papers by Gao Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Gao Cong. A scholar is included among the top collaborators of Gao Cong 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 Gao Cong. Gao Cong 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, Xiucheng, et al.. (2025). Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics. IEEE Transactions on Mobile Computing. 24(10). 9413–9427. 1 indexed citations
2.
Cong, Gao, et al.. (2025). ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation. ACM Transactions on Information Systems. 43(3). 1–30. 1 indexed citations
3.
Ge, Hongjuan, et al.. (2025). Aircraft EWIS Safety Risk Topic Recognition Method Based on Enhanced BERT-LDA. IEEE Transactions on Aerospace and Electronic Systems. 61(3). 7153–7164. 1 indexed citations
4.
Cong, Gao, Wei Sun, Weitong Zhang, et al.. (2024). In-situ electrochemical conversion of V2O3@C into Zn3(OH)2V2O7·2H2O@C for high-performance aqueous Zn-ion batteries. Journal of Power Sources. 613. 234942–234942. 7 indexed citations
5.
Xiao, Guoqing, et al.. (2024). Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7556–7568. 1 indexed citations
6.
He, Tiantian, et al.. (2024). Differentiable Clustering for Graph Attention. IEEE Transactions on Knowledge and Data Engineering. 36(8). 3751–3764. 16 indexed citations
7.
Tanin, Egemen, et al.. (2024). Trajectory Similarity Measurement: An Efficiency Perspective. Proceedings of the VLDB Endowment. 17(9). 2293–2306. 4 indexed citations
8.
Cong, Gao, et al.. (2024). MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. 3454–3463. 7 indexed citations
9.
Li, Xiaofan, Gao Cong, & Rui Zhou. (2024). Quantum Algorithms for the Maximum K-Plex Problem. 24. 2435–2448.
11.
Shao, Zezhi, Fei Wang, Yongjun Xu, et al.. (2024). Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Transactions on Knowledge and Data Engineering. 37(1). 291–305. 61 indexed citations breakdown →
12.
Xie, Jiayi, et al.. (2024). UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. 3410–3419. 1 indexed citations
13.
Cong, Gao, et al.. (2023). Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries. Proceedings of the ACM on Management of Data. 1(1). 1–25. 2 indexed citations
14.
Feng, Shanshan, Gao Cong, Arijit Khan, et al.. (2018). Inf2vec: Latent Representation Model for Social Influence Embedding. 941–952. 52 indexed citations
15.
Pham, Tuan-Anh Nguyen, et al.. (2018). Attention-based Group Recommendation. arXiv (Cornell University). 8 indexed citations
16.
Cong, Gao. (2008). Numerical Simulation of Liquid-solid Two-phase Flow and Erosion-collision in a Syphon. Journal of Hebei University of Technology. 2 indexed citations
17.
Cong, Gao, Wenfei Fan, Floris Geerts, Xibei Jia, & Shuai Ma. (2007). Improving data quality: consistency and accuracy. Edinburgh Research Explorer (University of Edinburgh). 315–326. 177 indexed citations
18.
Cong, Gao, et al.. (2007). Mining sequential patterns and tree patterns to detect erroneous sentences. National Conference on Artificial Intelligence. 925–930. 16 indexed citations
19.
Pan, Feng, Anthony K. H. Tung, Gao Cong, & Xin Xu. (2004). COBBLER: combining column and row enumeration for closed pattern discovery. 21–30. 38 indexed citations
20.
Parvin, Bahram, John R. Taylor, & Gao Cong. (1998). A Collaborative Framework for Distributed Microscopy. Conference on High Performance Computing (Supercomputing). 1–16. 4 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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