Victor E. Lee

527 total citations
8 papers, 188 citations indexed

About

Victor E. Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Victor E. Lee has authored 8 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Victor E. Lee's work include Advanced Graph Neural Networks (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Complex Network Analysis Techniques (2 papers). Victor E. Lee is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Complex Network Analysis Techniques (2 papers). Victor E. Lee collaborates with scholars based in United States, China and Australia. Victor E. Lee's co-authors include Feng Zhang, Ruoming Jin, Kim‐Kwang Raymond Choo, Guangzhi Qu, Gansen Zhao, Chunming Rong, Longjie Li, Michele Maasberg, Cheng Chi and Saurabh Garg and has published in prestigious journals such as Information Sciences, Physica A Statistical Mechanics and its Applications and Knowledge-Based Systems.

In The Last Decade

Victor E. Lee

8 papers receiving 182 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victor E. Lee United States	6	106	98	46	33	32	8	188
Andreas Lommatzsch Germany	8	147 1.4×	106 1.1×	51 1.1×	30 0.9×	20 0.6×	30	197
Bangzuo Zhang China	9	164 1.5×	198 2.0×	49 1.1×	35 1.1×	17 0.5×	27	287
Jiankai Sun United States	9	175 1.7×	149 1.5×	33 0.7×	29 0.9×	19 0.6×	12	250
Yutaka Kidawara Japan	7	91 0.9×	148 1.5×	39 0.8×	48 1.5×	32 1.0×	45	248
Jorge Castro Spain	7	211 2.0×	105 1.1×	55 1.2×	30 0.9×	34 1.1×	11	276
Katerina Potika United States	10	76 0.7×	73 0.7×	30 0.7×	45 1.4×	31 1.0×	41	211
Miguel A. Rueda-Morales Spain	6	244 2.3×	89 0.9×	97 2.1×	42 1.3×	37 1.2×	7	280
Fedor Borisyuk United States	6	216 2.0×	131 1.3×	69 1.5×	27 0.8×	16 0.5×	11	297
Diane Hu United States	8	182 1.7×	164 1.7×	63 1.4×	19 0.6×	20 0.6×	16	286

Countries citing papers authored by Victor E. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Victor E. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor E. Lee. 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 Victor E. Lee. The network helps show where Victor E. Lee may publish in the future.

Co-authorship network of co-authors of Victor E. Lee

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

All Works

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8 of 8 papers shown

1.

Lee, Victor E., et al.. (2022). Efficient Machine Learning on Large-Scale Graphs. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4788–4789. 2 indexed citations

2.

Angles, Renzo, Angela Bonifati, Stefania Dumbrava, et al.. (2021). PG-Keys: Keys for Property Graphs. Edinburgh Research Explorer (University of Edinburgh). 2423–2436. 20 indexed citations

3.

Zhang, Feng, Victor E. Lee, & Kim‐Kwang Raymond Choo. (2018). Jo-DPMF: Differentially private matrix factorization learning through joint optimization. Information Sciences. 467. 271–281. 26 indexed citations

4.

Zhang, Feng, Victor E. Lee, Ruoming Jin, et al.. (2018). Privacy-aware smart city: A case study in collaborative filtering recommender systems. Journal of Parallel and Distributed Computing. 127. 145–159. 36 indexed citations

5.

Dong, Lijun, et al.. (2018). Uniform-scale assessment of role minimization in bipartite networks and its application to access control. Physica A Statistical Mechanics and its Applications. 507. 381–397. 5 indexed citations

6.

Zhang, Feng, et al.. (2016). Fast algorithms to evaluate collaborative filtering recommender systems. Knowledge-Based Systems. 96. 96–103. 72 indexed citations

7.

Lee, Victor E., Lin Liu, & Ruoming Jin. (2014). Decision Trees: Theory and Algorithms.. 87–120. 6 indexed citations

8.

Jin, Ruoming, Victor E. Lee, & Longjie Li. (2014). Scalable and axiomatic ranking of network role similarity. ACM Transactions on Knowledge Discovery from Data. 8(1). 1–37. 21 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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