Lean Yu

11.2k total citations · 2 hit papers
215 papers, 7.9k citations indexed

About

Lean Yu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Lean Yu has authored 215 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Management Science and Operations Research, 68 papers in Artificial Intelligence and 66 papers in Economics and Econometrics. Recurrent topics in Lean Yu's work include Energy Load and Power Forecasting (47 papers), Imbalanced Data Classification Techniques (42 papers) and Market Dynamics and Volatility (41 papers). Lean Yu is often cited by papers focused on Energy Load and Power Forecasting (47 papers), Imbalanced Data Classification Techniques (42 papers) and Market Dynamics and Volatility (41 papers). Lean Yu collaborates with scholars based in China, Hong Kong and United States. Lean Yu's co-authors include Kin Keung Lai, Shouyang Wang, Ling Tang, Jianping Li, Wei Dai, Kaijian He, Jiaqian Wu, Qin Bao, Xiang Li and Rongda Chen and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and European Journal of Operational Research.

In The Last Decade

Lean Yu

204 papers receiving 7.7k citations

Hit Papers

Forecasting crude oil price with an EMD-based neural netw... 2008 2026 2014 2020 2008 2017 100 200 300 400 500
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.

  1. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
    2008 572 citations Lean Yu, Shouyang Wang et al. profile →
  2. A deep learning ensemble approach for crude oil price forecasting
    2017 284 citations Lean Yu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lean Yu China 50 3.0k 2.9k 2.0k 1.8k 759 215 7.9k
Kin Keung Lai Hong Kong 58 2.6k 0.9× 3.7k 1.3× 1.4k 0.7× 1.9k 1.1× 986 1.3× 369 11.4k
Desheng Wu China 54 1.4k 0.5× 3.2k 1.1× 713 0.4× 1.3k 0.7× 894 1.2× 294 9.5k
Shanlin Yang China 57 1.5k 0.5× 2.2k 0.7× 3.8k 1.9× 2.5k 1.4× 274 0.4× 351 12.1k
Mark Goh Singapore 58 1.1k 0.4× 2.5k 0.9× 655 0.3× 664 0.4× 280 0.4× 381 11.4k
John R. Birge United States 45 1.2k 0.4× 3.1k 1.1× 2.5k 1.2× 319 0.2× 810 1.1× 199 10.6k
Amir F. Atiya Egypt 37 536 0.2× 1.5k 0.5× 1.8k 0.9× 3.4k 1.9× 450 0.6× 130 8.0k
Ling Tang China 41 2.1k 0.7× 1.2k 0.4× 1.1k 0.6× 567 0.3× 155 0.2× 137 5.4k
Sifeng Liu China 54 1.7k 0.6× 7.3k 2.5× 2.8k 1.4× 888 0.5× 95 0.1× 664 12.0k
Stan Uryasev United States 34 2.6k 0.9× 5.9k 2.0× 1.4k 0.7× 478 0.3× 301 0.4× 133 10.5k
Constantin Zopounidis Greece 48 1.8k 0.6× 3.5k 1.2× 214 0.1× 1.7k 1.0× 2.2k 2.9× 276 8.4k

Countries citing papers authored by Lean Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lean Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lean Yu

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

All Works

20 of 20 papers shown
1.
Xi, Xi, et al.. (2025). How do large language models bring disruptive change to time series forecasting? A survey and framework. Journal of Management Analytics. 13(1). 17–42.
2.
Liu, Zhijie, et al.. (2025). LMCBert: An Automatic Academic Paper Rating Model Based on Large Language Models and Contrastive Learning. IEEE Transactions on Cybernetics. 55(6). 2970–2979.
3.
Yu, Lean, et al.. (2025). An ensemble learning model with dynamic sampling and feature fusion network for class sparsity in credit risk classification. Annals of Operations Research. 353(2). 761–791. 1 indexed citations
4.
Zhang, Xiaoming, Lean Yu, & Hang Yin. (2025). Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation. Financial Innovation. 11(1). 1 indexed citations
5.
Zhang, Xiaoming, et al.. (2025). LLM-infused bi-level semantic enhancement for corporate credit risk prediction. Information Processing & Management. 62(4). 104091–104091.
6.
Zhang, Xiaoming, et al.. (2025). A novel diversity-based selective ensemble method for small sample expert credibility assessment. Science China Technological Sciences. 68(7). 1 indexed citations
7.
Cao, Xiaoxi, et al.. (2024). Carbon emissions forecasting based on tensor decomposition with multi-source data fusion. Information Sciences. 681. 121235–121235. 6 indexed citations
8.
Kong, Xiang T.R., Lean Yu, Zelong Yi, & George Q. Huang. (2024). Cross-industry and multi-method research frontiers of decision intelligence for digital economy. Advanced Engineering Informatics. 62. 102890–102890. 2 indexed citations
9.
He, Kaijian, Lean Yu, & Yingchao Zou. (2024). Crude oil future price forecasting using pretrained transformer model. Procedia Computer Science. 242. 288–293. 2 indexed citations
10.
11.
Zhang, Xiaoming & Lean Yu. (2023). Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods. Expert Systems with Applications. 237. 121484–121484. 28 indexed citations
12.
Yu, Lean, et al.. (2023). Design of a multi-energy complementary scheduling scheme with uncertainty analysis of the source-load prediction. Electric Power Systems Research. 220. 109268–109268. 5 indexed citations
13.
Xi, Xi, et al.. (2023). Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy. Technological Forecasting and Social Change. 195. 122777–122777. 5 indexed citations
14.
Xiao, Jin, et al.. (2023). Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models. INFORMS journal on computing. 35(5). 986–1001. 7 indexed citations
15.
Yu, Lean, et al.. (2023). A shapelet-based behavioral pattern extraction method for credit risk classification with behavior sparsity. Advanced Engineering Informatics. 58. 102227–102227. 2 indexed citations
16.
Zhang, Wen, et al.. (2023). Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. Decision Support Systems. 177. 114090–114090. 9 indexed citations
17.
Yu, Lean, et al.. (2023). Prediction of carbon dioxide emissions in China using a novel grey model with multi-parameter combination optimization. Journal of Cleaner Production. 404. 136889–136889. 42 indexed citations
18.
Yu, Lean, et al.. (2022). Analysis of the Determinants and Mechanism of Mutton Price in Xinjiang Region of China. Sustainability. 14(20). 13482–13482.
19.
Li, Hui, Yuhui Xu, & Lean Yu. (2017). Predicting hospitality firm failure: mixed sample modelling. International Journal of Contemporary Hospitality Management. 29(7). 1770–1792. 11 indexed citations
20.
Yu, Lean, Shouyang Wang, & Kin Keung Lai. (2007). Parallel Web Text Clustering with a Modular Self-Organizing Map System. Journal of Computer Information Systems. 3(3). 909–916.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kin Keung Lai Breakdown of academic impact, for papers by Desheng Wu Breakdown of academic impact, for papers by Shanlin Yang Breakdown of academic impact, for papers by Mark Goh Breakdown of academic impact, for papers by John R. Birge Breakdown of academic impact, for papers by Amir F. Atiya Breakdown of academic impact, for papers by Ling Tang Breakdown of academic impact, for papers by Sifeng Liu Breakdown of academic impact, for papers by Stan Uryasev Breakdown of academic impact, for papers by Constantin Zopounidis
Rankless by CCL
2026