Yu‐Hsin Lu

594 total citations
12 papers, 398 citations indexed

About

Yu‐Hsin Lu is a scholar working on Accounting, Strategy and Management and Information Systems. According to data from OpenAlex, Yu‐Hsin Lu has authored 12 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Accounting, 3 papers in Strategy and Management and 3 papers in Information Systems. Recurrent topics in Yu‐Hsin Lu's work include Financial Distress and Bankruptcy Prediction (5 papers), Imbalanced Data Classification Techniques (3 papers) and Auditing, Earnings Management, Governance (3 papers). Yu‐Hsin Lu is often cited by papers focused on Financial Distress and Bankruptcy Prediction (5 papers), Imbalanced Data Classification Techniques (3 papers) and Auditing, Earnings Management, Governance (3 papers). Yu‐Hsin Lu collaborates with scholars based in Taiwan, United States and Indonesia. Yu‐Hsin Lu's co-authors include Chih‐Fong Tsai, David C. Yen, Wei‐Chao Lin, Ya‐Han Hu, Yu‐Chung Hung, Li-Chi Chiang, Yung‐Chieh Wang, Rong‐Guey Chang, Ting-Hsuan Chien and Wenjian Liu and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Yu‐Hsin Lu

12 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Hsin Lu Taiwan 7 223 97 90 77 69 12 398
Geert Verstraeten Belgium 4 219 1.0× 101 1.0× 94 1.0× 86 1.1× 44 0.6× 7 354
Jonathan Burez Belgium 3 406 1.8× 188 1.9× 202 2.2× 155 2.0× 36 0.5× 3 556
Guoen Xia China 8 156 0.7× 69 0.7× 61 0.7× 42 0.5× 13 0.2× 37 265
Wouter Buckinx Belgium 5 433 1.9× 191 2.0× 137 1.5× 71 0.9× 11 0.2× 7 562
Yaya Xie China 4 247 1.1× 95 1.0× 108 1.2× 69 0.9× 20 0.3× 6 319
Stella Cho China 5 33 0.1× 29 0.3× 16 0.2× 44 0.6× 78 1.1× 6 270
Alireza Hashemi Golpayegani Iran 10 58 0.3× 22 0.2× 117 1.3× 73 0.9× 9 0.1× 33 313
Gurmeet Singh India 5 49 0.2× 25 0.3× 362 4.0× 30 0.4× 24 0.3× 11 576
Eva Bucherer Switzerland 3 72 0.3× 19 0.2× 75 0.8× 44 0.6× 25 0.4× 5 332
Babak Teimourpour Iran 11 72 0.3× 36 0.4× 30 0.3× 57 0.7× 6 0.1× 38 255

Countries citing papers authored by Yu‐Hsin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Hsin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Hsin Lu

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

All Works

12 of 12 papers shown
1.
Lu, Yu‐Hsin, et al.. (2025). Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques. International Journal of Accounting Information Systems. 56. 100744–100744. 1 indexed citations
2.
Wang, Yung‐Chieh, et al.. (2024). Climate risk analysis of low-altitude tea gardens in central Taiwan using a Bayesian network. Environmental Monitoring and Assessment. 196(9). 809–809. 2 indexed citations
3.
Wang, Yung‐Chieh, et al.. (2023). Assessing Crop Suitability of Rice, Wheat, and Maize on Agricultural Lands in Taiwan. Natural Resources Research. 32(2). 813–834. 12 indexed citations
4.
Lu, Yu‐Hsin, et al.. (2022). Decision information for auditors to assess litigation risk: Application of machine learning techniques. Corporate Ownership and Control. 19(3). 133–146. 2 indexed citations
5.
Lin, Wei‐Chao, Yu‐Hsin Lu, & Chih‐Fong Tsai. (2018). Feature selection in single and ensemble learning‐based bankruptcy prediction models. Expert Systems. 36(1). 52 indexed citations
6.
Lu, Yu‐Hsin, et al.. (2017). Net Losses and the Relationship between Auditor Independence and Client Importance: Evidence from a Cubist Regression-Tree Model. Journal of Emerging Technologies in Accounting. 14(1). 13–25. 4 indexed citations
7.
Chien, Ting-Hsuan, et al.. (2017). An enhanced depth estimation system using RGB-D cameras and gyroscopes. 48. 1554–1557. 2 indexed citations
8.
Tsai, Chih‐Fong, Yu‐Hsin Lu, Yu‐Chung Hung, & David C. Yen. (2015). Intangible assets evaluation: The machine learning perspective. Neurocomputing. 175. 110–120. 23 indexed citations
9.
Tsai, Chih‐Fong, Ya‐Han Hu, & Yu‐Hsin Lu. (2013). Customer segmentation issues and strategies for an automobile dealership with two clustering techniques. Expert Systems. 32(1). 65–76. 22 indexed citations
10.
Tsai, Chih‐Fong, Yu‐Hsin Lu, & David C. Yen. (2012). Determinants of intangible assets value: The data mining approach. Knowledge-Based Systems. 31. 67–77. 47 indexed citations
11.
Tsai, Chih‐Fong & Yu‐Hsin Lu. (2010). Data Mining Techniques in Customer Churn Prediction. Recent Patents on Computer Science. 3(1). 28–32. 6 indexed citations
12.
Tsai, Chih‐Fong & Yu‐Hsin Lu. (2009). Customer churn prediction by hybrid neural networks. Expert Systems with Applications. 36(10). 12547–12553. 225 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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