Kaiyu Feng

428 total citations
21 papers, 266 citations indexed

About

Kaiyu Feng is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kaiyu Feng has authored 21 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 8 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Kaiyu Feng's work include Data Management and Algorithms (13 papers), Geographic Information Systems Studies (6 papers) and Complex Network Analysis Techniques (5 papers). Kaiyu Feng is often cited by papers focused on Data Management and Algorithms (13 papers), Geographic Information Systems Studies (6 papers) and Complex Network Analysis Techniques (5 papers). Kaiyu Feng collaborates with scholars based in Singapore, China and New Zealand. Kaiyu Feng's co-authors include Gao Cong, Sourav S. Bhowmick, Tao Guo, Shuai Ma, Kaiqi Zhao, Aiqun Hu, Zhifeng Bao, Chunyan Miao, Wen-Chih Peng and Shanshan Feng and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Kaiyu Feng

20 papers receiving 262 citations

Peers

Kaiyu Feng

SP

AI

CNC

SNP

IS

Irene Ntoutsi Greece

Tim Hanratty United States

Shuai Xu China

Daichi Amagata Japan

Yaobin He China

Sean Chester Canada

Renjun Hu China

Kevin Chiew China

Yaqiong Qiao China

Ahmed M. Aly United States

Irene Ntoutsi Greece

Kaiyu Feng

234 ×1.9

SP

221 ×2.5

AI

95 ×1.3

CNC

82 ×1.4

SNP

77 ×1.4

IS

Citations per year, relative to Kaiyu Feng Kaiyu Feng (= 1×) peers Irene Ntoutsi

Countries citing papers authored by Kaiyu Feng

Since Specialization

Citations

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

Fields of papers citing papers by Kaiyu Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyu Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyu Feng. A scholar is included among the top collaborators of Kaiyu Feng 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 Kaiyu Feng. Kaiyu Feng 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

1.

Kim, Song Lim, et al.. (2024). Experimental analysis and evaluation of cohesive subgraph discovery. Information Sciences. 672. 120664–120664.

2.

Feng, Kaiyu, et al.. (2023). Unsupervised Rumor Detection Based on Propagation Tree VAE. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10309–10323. 18 indexed citations

3.

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

4.

Feng, Kaiyu, et al.. (2023). The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. Proceedings of the ACM on Management of Data. 1(1). 1–26. 23 indexed citations

5.

Feng, Kaiyu, et al.. (2023). Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph. Proceedings of the VLDB Endowment. 16(5). 1154–1167. 12 indexed citations

6.

Feng, Shanshan, Kaiqi Zhao, Kaiyu Feng, et al.. (2022). H-Diffu: Hyperbolic Representations for Information Diffusion Prediction. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8784–8798. 15 indexed citations

7.

Chen, Yue, Kaiyu Feng, Gao Cong, & Han Mao Kiah. (2022). Example-based spatial pattern matching. Proceedings of the VLDB Endowment. 15(11). 2572–2584. 1 indexed citations

8.

Luo, Yong, et al.. (2022). A knowledge-enriched ensemble method for word embedding and multi-sense embedding. IEEE Transactions on Knowledge and Data Engineering. 1–1. 10 indexed citations

9.

Kim, Jung‐Hoon, Tao Guo, Kaiyu Feng, et al.. (2020). Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 2199–2209. 20 indexed citations

10.

Luo, Yong, et al.. (2019). Knowledge-Enhanced Ensemble Learning for Word Embeddings. 427–437. 10 indexed citations

11.

Feng, Kaiyu, Tao Guo, Gao Cong, Sourav S. Bhowmick, & Shuai Ma. (2019). SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects. IEEE Transactions on Knowledge and Data Engineering. 32(11). 2254–2268. 5 indexed citations

12.

Feng, Kaiyu, Gao Cong, Christian S. Jensen, & Tao Guo. (2019). Finding attribute-aware similar regions for data analysis. Proceedings of the VLDB Endowment. 12(11). 1414–1426. 7 indexed citations

13.

Feng, Kaiyu, Tao Guo, Gao Cong, Sourav S. Bhowmick, & Shuai Ma. (2018). SURGE: Continuous Detection of Bursty Regions over a Stream of Spatial Objects. 1292–1295. 9 indexed citations

14.

Guo, Tao, Kaiyu Feng, Gao Cong, & Zhifeng Bao. (2018). Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration. 567–582. 35 indexed citations

15.

Ma, Shuai, Kaiyu Feng, Jianxin Li, et al.. (2017). Proxies for Shortest Path and Distance Queries. 11. 61–62. 1 indexed citations

16.

Ma, Shuai, Kaiyu Feng, Jianxin Li, et al.. (2016). Proxies for Shortest Path and Distance Queries. IEEE Transactions on Knowledge and Data Engineering. 28(7). 1835–1850. 15 indexed citations

17.

Feng, Kaiyu, et al.. (2016). A system for region search and exploration. Proceedings of the VLDB Endowment. 9(13). 1549–1552. 3 indexed citations

18.

Cong, Gao, Kaiyu Feng, & Kaiqi Zhao. (2016). Querying and mining geo-textual data for exploration: Challenges and opportunities. 6 indexed citations

19.

Feng, Kaiyu, Gao Cong, Sourav S. Bhowmick, Wen-Chih Peng, & Chunyan Miao. (2016). Towards Best Region Search for Data Exploration. 1055–1070. 32 indexed citations

20.

Feng, Kaiyu, Gao Cong, Sourav S. Bhowmick, & Shuai Ma. (2014). In search of influential event organizers in online social networks. 63–74. 39 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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