Jaewon Yang

2.7k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Jaewon Yang is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Jaewon Yang has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Jaewon Yang's work include Topic Modeling (9 papers), Advanced Graph Neural Networks (7 papers) and Complex Network Analysis Techniques (6 papers). Jaewon Yang is often cited by papers focused on Topic Modeling (9 papers), Advanced Graph Neural Networks (7 papers) and Complex Network Analysis Techniques (6 papers). Jaewon Yang collaborates with scholars based in United States, South Korea and Canada. Jaewon Yang's co-authors include Jure Leskovec, Hyun‐Lark Do, Qi He, Baoxu Shi, Dafna Shahaf, Bee-Chung Chen, How Jing, Paea LePendu, Nigam H. Shah and Liangyue Li and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Jaewon Yang

29 papers receiving 1.7k 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.

Patterns of temporal variation in online media

2011 644 citations Jaewon Yang, Jure Leskovec profile →

Peers

Countries citing papers authored by Jaewon Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jaewon Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewon Yang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Baoxu Shi, (unknown), Jaewon Yang, Qi He, Jian Pei	1
2	Graph Neural Networks for the Global Economy with Microsoft DeepGraph 2022 ·Jaewon Yang, Baoxu Shi, (unknown)	1
3	TaxoTrans 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·(unknown), Yiming Wang, Yan Xiao, Weizhi Meng, (unknown), Jaewon Yang	2
4	Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks 2021 ·(unknown), Théophile Gervet, Baoxu Shi, (unknown), Qi He, Jaewon Yang	23
5	Contextual Skill Proficiency via Multi-task Learning at LinkedIn 2021 ·Yan Xiao, Ada Ma, Jaewon Yang, (unknown), How Jing, Jacob Bollinger, Qi He	3
6	Learning to Ask Screening Questions for Job Postings 2020 ·Baoxu Shi, (unknown), Jaewon Yang, (unknown), Qi He	11
7	Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections 2019 ·Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He	5
8	Position Estimation of a Missile Using Three High-Resolution Range Profiles 2018 ·The Journal of Korean Institute of Electromagnetic Engineering and Science ·Jaewon Yang, (unknown), Dongju Lee	0
9	Memristor Crossbar Arrays for Analog and Neuromorphic Computing 2018 ·Jaewon Yang	2
10	NEMO 2017 ·Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen	41
11	Personalizing LinkedIn Feed 2015 ·Deepak Agarwal, Bee-Chung Chen, Qi He, (unknown), Guy Lebanon, Yiming Ma, Pannagadatta K. Shivaswamy, (unknown), Jaewon Yang, Liang Zhang	20
12	Efficient Single-Switch Boost-Dual-Input Flyback PFC Converter With Reduced Switching Loss 2015 ·IEEE Transactions on Industrial Electronics ·Jaewon Yang, Hyun‐Lark Do	11
13	Overlapping Communities Explain Core–Periphery Organization of Networks 2014 ·Proceedings of the IEEE ·Jaewon Yang, Jure Leskovec	105
14	High-Efficiency ZVS AC-DC LED Driver Using a Self-Driven Synchronous Rectifier 2014 ·IEEE Transactions on Circuits and Systems I Regular Papers ·Jaewon Yang, Hyun‐Lark Do	31
15	Community-Affiliation Graph Model for Overlapping Network Community Detection 2012 ·Jaewon Yang, Jure Leskovec	185
16	Structure and overlaps of communities in networks 2012 ·arXiv (Cornell University) ·Jaewon Yang, Jure Leskovec	6
17	Patterns of temporal variation in online media breakdown → 2011 ·Jaewon Yang, Jure Leskovec	644
18	Modeling Information Diffusion in Implicit Networks 2010 ·Jaewon Yang, Jure Leskovec	371
19	Adaptive intrusion detection algorithm based on learning algorithm 2005 ·Daewook Kim, Jaewon Yang, Kwee-Bo Sim	2
20	Adaptive Intrusion Detection Algorithm based on Learning Algorithm 2004 ·Journal of Korean institute of intelligent systems ·(unknown), Jaewon Yang, Dongwook Lee, Dong-il Seo, (unknown)	3

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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