Ming-Syan Chen⋆

16.8k total citations · 2 hit papers
400 papers, 10.1k citations indexed

About

Ming-Syan Chen⋆ is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ming-Syan Chen⋆ has authored 400 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Computer Networks and Communications, 119 papers in Artificial Intelligence and 107 papers in Signal Processing. Recurrent topics in Ming-Syan Chen⋆'s work include Data Management and Algorithms (87 papers), Data Mining Algorithms and Applications (60 papers) and Caching and Content Delivery (58 papers). Ming-Syan Chen⋆ is often cited by papers focused on Data Management and Algorithms (87 papers), Data Mining Algorithms and Applications (60 papers) and Caching and Content Delivery (58 papers). Ming-Syan Chen⋆ collaborates with scholars based in Taiwan, United States and China. Ming-Syan Chen⋆'s co-authors include Philip S. Yu, Jong Soo Park, Jiawei Han, Kang G. Shin, De-Nian Yang, Cheng-Ru Lin, Jiun‐Long Huang, D.D. Kandlur, Chang-Hung Lee and Keng‐Pei Lin and has published in prestigious journals such as Automatica, IEEE Transactions on Image Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Ming-Syan Chen⋆

383 papers receiving 9.2k 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.

Data mining: an overview from a database perspective

1996 1.4k citations Ming-Syan Chen⋆, Philip S. Yu et al. IEEE Transactions on Knowledge and Data Engineering profile →
An effective hash-based algorithm for mining association rules

1995 903 citations Ming-Syan Chen⋆, Philip S. Yu et al. profile →

Peers

Countries citing papers authored by Ming-Syan Chen⋆

Since Specialization

Citations

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

Fields of papers citing papers by Ming-Syan Chen⋆

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Syan Chen⋆. 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 Ming-Syan Chen⋆. The network helps show where Ming-Syan Chen⋆ may publish in the future.

Co-authorship network of co-authors of Ming-Syan Chen⋆

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Syan Chen⋆. A scholar is included among the top collaborators of Ming-Syan Chen⋆ 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 Ming-Syan Chen⋆. Ming-Syan Chen⋆ 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	Breeding-aware Revenue Maximization for NFT Viral Marketing on Social Networks 2025 ·(unknown), De-Nian Yang, (unknown), (unknown), Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen⋆	1
2	FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Shu‐Ling Cheng, (unknown), (unknown), (unknown), Ming-Syan Chen⋆	1
3	Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks 2024 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), (unknown), De-Nian Yang, (unknown), Philip S. Yu, Ming-Syan Chen⋆	0
4	Random Walk Conformer: Learning Graph Representation from Long and Short Range 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·P. S. Yeh, (unknown), Ming-Syan Chen⋆	3
5	CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion 2023 ·(unknown), De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen⋆	2
6	Learning to Solve Task-Optimized Group Search for Social Internet of Things 2021 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Hong-Han Shuai, Chih-Ya Shen, Ming-Syan Chen⋆	19
7	Activity Organization for Friend-Making Optimization in Online Social Networks 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Chih-Ya Shen, De-Nian Yang, Wang-Chien Lee, Ming-Syan Chen⋆	12
8	Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond 2019 ·IEEE Transactions on Image Processing ·Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen⋆, Yu-Chiang Frank Wang	15
9	Deep Censored Learning of the Winning Price in the Real Time Bidding 2018 ·(unknown), Mi-Yen Yeh, Ming-Syan Chen⋆	20
10	QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee 2017 ·IEEE Transactions on Big Data ·Hong-Han Shuai, De-Nian Yang, Chih-Ya Shen, Philip S. Yu, Ming-Syan Chen⋆	0
11	A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining 2017 ·IEEE Transactions on Knowledge and Data Engineering ·Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang, (unknown), Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen⋆	34
12	Postquantum SSL/TLS for Embedded Systems 2014 ·(unknown), Ming-Syan Chen⋆, (unknown), Bo‐Yin Yang	7
13	RAIDq: a software-friendly, multiple-parity RAID 2013 ·Ming-Syan Chen⋆, Bo‐Yin Yang, Chen-Mou Cheng	1
14	Adaptive Color Feature Extraction Based on Image Color Distributions 2010 ·IEEE Transactions on Image Processing ·Wei‐Ta Chen, (unknown), Ming-Syan Chen⋆	48
15	A New Approach to Image Copy Detection Based on Extended Feature Sets 2007 ·IEEE Transactions on Image Processing ·(unknown), (unknown), (unknown), Ming-Syan Chen⋆	45
16	Advances in Knowledge Discovery and Data Mining : 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings 2002 ·Springer eBooks ·Ming-Syan Chen⋆, Philip S. Yu, Bing Liu	9
17	A Dynamic and Adaptive Cache Retrieval Scheme for Mobile Computing 1998 ·Wen-Chih Peng, Ming-Syan Chen⋆	4
18	On Index Selection Schemes for Nested Object Hierarchies 1994 ·Very Large Data Bases ·Sudarshan S. Chawathe, Ming-Syan Chen⋆, Philip S. Yu	9
19	Applying Hash Filters to Improving the Execution of Bushy Trees 1993 ·Very Large Data Bases ·Ming-Syan Chen⋆, Hui-I Hsiao, Philip S. Yu	4
20	Distributed routing and task allocation in multicomputer systems. 1988 ·Deep Blue (University of Michigan) ·Ming-Syan Chen⋆, Kang G. Shin	1

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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