Eric C.C. Tsang

6.4k total citations
160 papers, 4.7k citations indexed

About

Eric C.C. Tsang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Eric C.C. Tsang has authored 160 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Artificial Intelligence, 83 papers in Computational Theory and Mathematics and 46 papers in Information Systems. Recurrent topics in Eric C.C. Tsang's work include Rough Sets and Fuzzy Logic (77 papers), Data Mining Algorithms and Applications (41 papers) and Neural Networks and Applications (28 papers). Eric C.C. Tsang is often cited by papers focused on Rough Sets and Fuzzy Logic (77 papers), Data Mining Algorithms and Applications (41 papers) and Neural Networks and Applications (28 papers). Eric C.C. Tsang collaborates with scholars based in China, Hong Kong and Macao. Eric C.C. Tsang's co-authors include Degang Chen, Wing W. Y. Ng, Xizhao Wang, Daniel Yeung, Suyun Zhao, Weihua Xu, Defeng Wang, Yanting Guo, Junhyeong Lee and Meng Hu and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Renewable Energy.

In The Last Decade

Eric C.C. Tsang

146 papers receiving 4.6k citations

Peers

Replace Weihua Xu with:

Weihua Xu China

William Zhu China

Xibei Yang China

Degang Chen China

Huaxiong Li China

Wojciech Ziarko Canada

JingTao Yao Canada

Xianzhong Zhou China

Chuan Luo China

Yuhua Qian China

Weihua Xu China View profile →

Citations per field, relative to Eric C.C. Tsang

Eric C.C. Tsang · 1×

×1.2 3.8k

CTM

×1.0 2.2k

AI

×1.1 1.7k

IS

×1.0 1.2k

MSOR

×1.1 833

CVPR

Citations per year, relative to Eric C.C. Tsang

Eric C.C. Tsang · 1×

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Countries citing papers authored by Eric C.C. Tsang

Since Specialization

Citations

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

Fields of papers citing papers by Eric C.C. Tsang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C.C. Tsang. 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 Eric C.C. Tsang. The network helps show where Eric C.C. Tsang may publish in the future.

Co-authorship network of co-authors of Eric C.C. Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric C.C. Tsang. A scholar is included among the top collaborators of Eric C.C. Tsang 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 Eric C.C. Tsang. Eric C.C. Tsang 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	Fidelity-Preserving Concept Stylization with ST-LoRA and multimodal conditions 2025 ·Expert Systems with Applications ·(unknown), Eric C.C. Tsang, (unknown), (unknown)	0
2	Multi-level correlation information fusion via three-way concept-cognitive learning for multi-label learning 2025 ·Information Fusion ·(unknown), Eric C.C. Tsang, Weihua Xu, Chengling Zhang, (unknown)	1
3	Dual-branch graph Transformer for node classification 2025 ·Electronic Research Archive ·Yong Zhang, Jingjing Song, Eric C.C. Tsang, (unknown)	0
4	Correlation concept-cognitive learning model for multi-label classification 2024 ·Knowledge-Based Systems ·(unknown), Eric C.C. Tsang, Weihua Xu, Chengling Zhang, (unknown)	15
5	A Data-Driven Approach for the Fast Prediction of Macrosegregation 2024 ·Metallurgical and Materials Transactions A ·Xiaowei Xu, Neng Ren, Ziqing Lu, Wajira Mirihanage, Eric C.C. Tsang, (unknown), Jun Li, Mingxu Xia, Hongbiao Dong, Jianguo Li	5
6	Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts 2023 ·Information Sciences ·Chengling Zhang, Eric C.C. Tsang, Weihua Xu, Yidong Lin, (unknown), (unknown)	14
7	Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification 2023 ·Knowledge-Based Systems ·(unknown), Eric C.C. Tsang, Qiang He, Yanting Guo	17
8	Improving the lenet with batch normalization and online hard example mining for digits recognition 2017 ·(unknown), (unknown), Eric C.C. Tsang	5
9	General relation-based variable precision rough fuzzy set 2015 ·International Journal of Machine Learning and Cybernetics ·Eric C.C. Tsang, Bingzhen Sun, Weimin Ma	11
10	Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach 2009 ·IEEE Transactions on Knowledge and Data Engineering ·Suyun Zhao, Eric C.C. Tsang, Degang Chen, Xizhao Wang	101
11	Effects of blade configurations on flow distribution and power output of a Zephyr vertical axis wind turbine 2008 ·International Conference on Energy & Environment ·(unknown), G.F. Naterer, Marc A. Rosen, Eric C.C. Tsang	4
12	Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification 2008 ·IEEE Transactions on Neural Networks ·Bo Liu, Zhifeng Hao, Eric C.C. Tsang	46
13	Approximations and reducts with covering generalized rough sets 2008 ·Computers & Mathematics with Applications ·Eric C.C. Tsang, Degang Chen, Daniel Yeung	110
14	Weighted Mahalanobis Distance Kernels for Support Vector Machines 2007 ·IEEE Transactions on Neural Networks ·Defeng Wang, Daniel Yeung, Eric C.C. Tsang	53
15	Structured One-Class Classification 2006 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Defeng Wang, Daniel Yeung, Eric C.C. Tsang	54
16	The parameterization reduction of soft sets and its applications 2005 ·Computers & Mathematics with Applications ·Degang Chen, Eric C.C. Tsang, Daniel Yeung, Xizhao Wang	468
17	AN APPROACH TO CASE-BASED MAINTENANCE: SELECTING REPRESENTATIVE CASES 2005 ·International Journal of Pattern Recognition and Artificial Intelligence ·Eric C.C. Tsang, Xizhao Wang	4
18	Handling Interaction in Fuzzy Production Rule Reasoning 2004 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Wing W. Y. Ng, (unknown), Eric C.C. Tsang	19
19	A general updating rule for discrete hopfield-type neural network with delay 2001 ·International Joint Conference on Artificial Intelligence ·(unknown), Eric C.C. Tsang, Daniel Yeung, Xizhao Wang	0
20	Fuzzy production rule refinement using multilayer perceptrons 1994 ·Wing W. Y. Ng, Eric C.C. Tsang, (unknown)	7

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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