Der‐Jang Chi

687 total citations
15 papers, 483 citations indexed

About

Der‐Jang Chi is a scholar working on Accounting, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Der‐Jang Chi has authored 15 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Accounting, 7 papers in Artificial Intelligence and 5 papers in Strategy and Management. Recurrent topics in Der‐Jang Chi's work include Financial Distress and Bankruptcy Prediction (8 papers), Imbalanced Data Classification Techniques (7 papers) and Financial Reporting and Valuation Research (4 papers). Der‐Jang Chi is often cited by papers focused on Financial Distress and Bankruptcy Prediction (8 papers), Imbalanced Data Classification Techniques (7 papers) and Financial Reporting and Valuation Research (4 papers). Der‐Jang Chi collaborates with scholars based in Taiwan. Der‐Jang Chi's co-authors include Ching-Chiang Yeh, Ming-Fu Hsu, Yirong Lin, Fu-Hsiang Chen, Sheng-Hsiung Chiu, Tzu-Yu Lin and Ming-Cheng Lai and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Sustainability.

In The Last Decade

Der‐Jang Chi

15 papers receiving 436 citations

Peers

Countries citing papers authored by Der‐Jang Chi

Since Specialization

Citations

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

Fields of papers citing papers by Der‐Jang Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Der‐Jang Chi. 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 Der‐Jang Chi. The network helps show where Der‐Jang Chi may publish in the future.

Co-authorship network of co-authors of Der‐Jang Chi

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

All Works

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15 of 15 papers shown

#	Title	Journal	Authors	Indexed citations
1	Using Hybrid Artificial Intelligence and Machine Learning Technologies for Sustainability in Going-Concern Prediction	Sustainability	Der‐Jang Chi et al.	11
2	Artificial Intelligence in Corporate Sustainability: Using LSTM and GRU for Going Concern Prediction	Sustainability	Der‐Jang Chi et al.	14
3	Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques	SpringerPlus	Der‐Jang Chi et al.	18
4	A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines	Cybernetics & Systems	Ching-Chiang Yeh, Der‐Jang Chi et al.	19
5	Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree	Economic Modelling	Fu-Hsiang Chen, Der‐Jang Chi et al.	27
6	Stock Market Reaction to Various Dividend Announcements: Which Kind of Dividend Announcement is More Significant?	Journal of Testing and Evaluation	Der‐Jang Chi et al.	10
7	Going-concern prediction using hybrid random forests and rough set approach	Information Sciences	Ching-Chiang Yeh, Der‐Jang Chi et al.	90
8	Application of a new DEMATEL to explore key factors of China’s corporate social responsibility: evidence from accounting experts	Quality & Quantity	Der‐Jang Chi et al.	25
9	INTEGRATING THE CART AND SUPPORT VECTOR MACHINES APPROACH FOR INFORMATION DISCLOSURE PREDICTION		Der‐Jang Chi, Ching-Chiang Yeh et al.	1
10	Is the balanced scorecard really helpful for improving performance? Evidence from software companies in China and Taiwan	AFRICAN JOURNAL OF BUSINESS MANAGEMENT	Der‐Jang Chi et al.	10
11	Information disclosure prediction using a combined rough set theory and random forests approach	AFRICAN JOURNAL OF BUSINESS MANAGEMENT	Der‐Jang Chi	1
12	Crisis management of the pricing mistakes committed by Dell	Management Decision	Der‐Jang Chi et al.	4
13	A hybrid approach of DEA, rough set and support vector machines for business failure prediction	Expert Systems with Applications	Ching-Chiang Yeh, Der‐Jang Chi et al.	133
14	Does stock repurchase declaration affect stock price? Differences between the electrics industry and other industries	Expert Systems with Applications	Der‐Jang Chi et al.	2
15	Relationships among Internal Marketing, Employee Job Satisfaction and International Hotel Performance: An Empirical Study		Der‐Jang Chi et al.	118

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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