Zebin Yang

667 total citations
13 papers, 443 citations indexed

About

Zebin Yang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Economics and Econometrics. According to data from OpenAlex, Zebin Yang has authored 13 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 2 papers in Economics and Econometrics. Recurrent topics in Zebin Yang's work include Neural Networks and Applications (5 papers), Machine Learning and ELM (4 papers) and Energy Load and Power Forecasting (4 papers). Zebin Yang is often cited by papers focused on Neural Networks and Applications (5 papers), Machine Learning and ELM (4 papers) and Energy Load and Power Forecasting (4 papers). Zebin Yang collaborates with scholars based in United States, Hong Kong and China. Zebin Yang's co-authors include Lean Yu, Ling Tang, Aijun Zhang, Agus Sudjianto, Yaqing Zhao, Dennis K. J. Lin, Dan A. Ralescu, Hengtao Zhang, Jie Chen and Xindong Wang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Zebin Yang

11 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zebin Yang United States	8	154	128	106	63	42	13	443
Ling‐Jing Kao Taiwan	12	184 1.2×	291 2.3×	134 1.3×	131 2.1×	54 1.3×	29	629
Michal Tkáč Slovakia	9	79 0.5×	127 1.0×	44 0.4×	67 1.1×	31 0.7×	29	392
Francesca Perla Italy	9	315 2.0×	78 0.6×	67 0.6×	64 1.0×	110 2.6×	23	601
Shian-Chang Huang Taiwan	15	188 1.2×	184 1.4×	191 1.8×	79 1.3×	91 2.2×	42	614
Bing Zhu China	11	254 1.6×	37 0.3×	134 1.3×	49 0.8×	76 1.8×	38	580
Dutta United States	7	156 1.0×	97 0.8×	27 0.3×	42 0.7×	68 1.6×	31	390
Belén Martín-Barragán United Kingdom	14	187 1.2×	58 0.5×	112 1.1×	26 0.4×	44 1.0×	25	497
Arash Ghanbari Iran	10	183 1.2×	364 2.8×	134 1.3×	213 3.4×	15 0.4×	19	675
Germán G. Creamer United States	12	143 0.9×	217 1.7×	247 2.3×	145 2.3×	40 1.0×	51	655
Vinay Anand Tikkiwal India	13	181 1.2×	351 2.7×	91 0.9×	442 7.0×	15 0.4×	40	901

Countries citing papers authored by Zebin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zebin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zebin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zebin Yang. A scholar is included among the top collaborators of Zebin 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 Zebin Yang. Zebin 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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13 of 13 papers shown

Hu, Lingling, Vijayan N. Nair, Agus Sudjianto, et al.. (2025). Interpretable Machine Learning Based on Functional ANOVA Framework: Algorithms and Comparisons. Applied Stochastic Models in Business and Industry. 41(1).

Deng, Geng, Guangning Xu, Zebin Yang, et al.. (2023). The Anatomy of Mortgage Default Using Shape-Constrained Explainable Machine Learning Model. 5(4). 66–85. 1 indexed citations

Yang, Zebin, Hengtao Zhang, Agus Sudjianto, & Aijun Zhang. (2021). An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. Neural Networks. 139. 149–157. 3 indexed citations

Yang, Zebin, Aijun Zhang, & Agus Sudjianto. (2021). GAMI-Net: An explainable neural network based on generalized additive models with structured interactions. Pattern Recognition. 120. 108192–108192. 77 indexed citations

Sudjianto, Agus, Zebin Yang, & Aijun Zhang. (2021). Single-Index Model Tree. IEEE Transactions on Knowledge and Data Engineering. 1–1. 1 indexed citations

Yang, Zebin, Aijun Zhang, & Agus Sudjianto. (2020). Enhancing Explainability of Neural Networks Through Architecture Constraints. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2610–2621. 61 indexed citations

Yu, Lean, Yaqing Zhao, Ling Tang, & Zebin Yang. (2018). Online big data-driven oil consumption forecasting with Google trends. International Journal of Forecasting. 35(1). 213–223. 172 indexed citations

Huang, Binbin, et al.. (2018). User Mining Algorithm Based On PageRank Modeling Improvement and Comprehensive Influence Evaluation. 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC). 37. 398–402.

Yu, Lean, Zebin Yang, & Ling Tang. (2018). Quantile estimators with orthogonal pinball loss function. Journal of Forecasting. 37(3). 401–417. 10 indexed citations

10.

Yang, Zebin, Dennis K. J. Lin, & Aijun Zhang. (2018). Interval-valued data prediction via regularized artificial neural network. Neurocomputing. 331. 336–345. 35 indexed citations

11.

Yu, Lean, Zebin Yang, & Ling Tang. (2016). Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm. International Journal of Information Technology & Decision Making. 15(2). 423–451. 20 indexed citations

12.

Yang, Zebin, et al.. (2015). A portfolio optimization model based on information entropy and fuzzy time series. Fuzzy Optimization and Decision Making. 14(4). 381–397. 18 indexed citations

13.

Yu, Lean, Zebin Yang, & Ling Tang. (2015). A novel multistage deep belief network based extreme learning machine ensemble learning paradigm for credit risk assessment. Flexible Services and Manufacturing Journal. 28(4). 576–592. 45 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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