John Boaz Lee

1.7k total citations · 1 hit paper
19 papers, 868 citations indexed

About

John Boaz Lee is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, John Boaz Lee has authored 19 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 4 papers in Communication. Recurrent topics in John Boaz Lee's work include Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (8 papers) and Graph Theory and Algorithms (2 papers). John Boaz Lee is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (8 papers) and Graph Theory and Algorithms (2 papers). John Boaz Lee collaborates with scholars based in United States, Philippines and Japan. John Boaz Lee's co-authors include Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh, Xiangnan Kong, Giang Nguyen, Anup Rao, Rong Zhou, Theodore L. Willke and Hoda Eldardiry and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data and IEEE Transactions on Emerging Topics in Computational Intelligence.

In The Last Decade

John Boaz Lee

17 papers receiving 842 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Continuous-Time Dynamic Network Embeddings

2018 304 citations Giang Nguyen, John Boaz Lee et al. profile →

Peers

Countries citing papers authored by John Boaz Lee

Since Specialization

Citations

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

Fields of papers citing papers by John Boaz Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Boaz Lee

This figure shows the co-authorship network connecting the top 25 collaborators of John Boaz Lee. A scholar is included among the top collaborators of John Boaz 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 John Boaz Lee. John Boaz 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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19 of 19 papers shown

#	Work	Indexed citations
1	Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks 2021 ·(unknown), John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie	3
2	Role-Based Graph Embeddings 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry	57
3	On Proximity and Structural Role-based Embeddings in Networks 2020 ·ACM Transactions on Knowledge Discovery from Data ·Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee	40
4	Recurrent Networks for Guided Multi-Attention Classification 2020 ·Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore	5
5	Dynamic Node Embeddings From Edge Streams 2020 ·IEEE Transactions on Emerging Topics in Computational Intelligence ·John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim	10
6	Uncovering the Social Dynamics of Online Elections 2020 ·Zenodo (CERN European Organization for Nuclear Research) ·Francis George C. Cabarle, (unknown), (unknown), John Boaz Lee, (unknown)	0
7	Attention Models in Graphs 2019 ·ACM Transactions on Knowledge Discovery from Data ·John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh	154
8	Temporal Network Representation Learning 2019 ·John Boaz Lee, (unknown), Ryan A. Rossi, Nesreen K. Ahmed, (unknown), Sungchul Kim	1
9	Graph Convolutional Networks with Motif-based Attention 2019 ·John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao	64
10	Learning compact graph representations via an encoder-decoder network 2019 ·Applied Network Science ·John Boaz Lee, Xiangnan Kong	2
11	Dynamic Network Embeddings: From Random Walks to Temporal Random Walks 2018 ·Giang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim	39
12	Graph Classification using Structural Attention 2018 ·John Boaz Lee, Ryan A. Rossi, Xiangnan Kong	158
13	Continuous-Time Dynamic Network Embeddings breakdown → 2018 ·Giang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim	304
14	Skip-graph: Learning graph embeddings with an encoder-decoder model 2017 ·John Boaz Lee, Xiangnan Kong	3
15	Understanding the Behavior of Filipino Twitter Users during Disaster 2013 ·John Boaz Lee, (unknown), (unknown), (unknown)	2
16	Characterizing Behavior and Features of Participants and Observers during Disaster on Twitter 2013 ·John Boaz Lee, (unknown)	1
17	Patch Reviewer Recommendation in OSS Projects 2013 ·John Boaz Lee, Akinori Ihara, Akito Monden, Kenichi Matsumoto	16
18	A Quantitative Analysis-based Algorithm for Optimal Data Signature Construction of Traffic Data Sets 2012 ·Journal of Information Processing ·(unknown), (unknown), (unknown), (unknown), (unknown), John Boaz Lee, (unknown), (unknown), Henry N. Adorna	0
19	Voting Behavior Analysis in the Election of Wikipedia Admins 2011 ·(unknown), (unknown), John Boaz Lee	9

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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