Wikil Kwak

552 total citations
23 papers, 351 citations indexed

About

Wikil Kwak is a scholar working on Accounting, Finance and Artificial Intelligence. According to data from OpenAlex, Wikil Kwak has authored 23 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Accounting, 10 papers in Finance and 6 papers in Artificial Intelligence. Recurrent topics in Wikil Kwak's work include Auditing, Earnings Management, Governance (10 papers), Financial Distress and Bankruptcy Prediction (9 papers) and Imbalanced Data Classification Techniques (6 papers). Wikil Kwak is often cited by papers focused on Auditing, Earnings Management, Governance (10 papers), Financial Distress and Bankruptcy Prediction (9 papers) and Imbalanced Data Classification Techniques (6 papers). Wikil Kwak collaborates with scholars based in United States, China and South Korea. Wikil Kwak's co-authors include Yong Shi, Vivek Mande, Heeseok Lee, Gang Kou, Ingoo Han, Ho Young Lee, Xiaoyan Cheng, Jinlan Ni, Zhengxin Chen and Guan Gong and has published in prestigious journals such as Contemporary Accounting Research, Review of Quantitative Finance and Accounting and World Wide Web.

In The Last Decade

Wikil Kwak

22 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wikil Kwak United States	10	206	100	94	58	54	23	351
Venkat Srinivasan United States	9	152 0.7×	79 0.8×	36 0.4×	120 2.1×	84 1.6×	14	379
Haifeng Guo China	13	230 1.1×	209 2.1×	74 0.8×	79 1.4×	30 0.6×	34	482
Yair E. Orgler Israel	10	224 1.1×	188 1.9×	50 0.5×	79 1.4×	45 0.8×	20	399
John J. Cheh United States	8	185 0.9×	49 0.5×	42 0.4×	59 1.0×	69 1.3×	21	334
雄士井尻	10	165 0.8×	50 0.5×	84 0.9×	75 1.3×	23 0.4×	15	370
Jagdish Gangolly United States	8	149 0.7×	18 0.2×	37 0.4×	59 1.0×	91 1.7×	20	320
Markku Heikkilä Finland	8	86 0.4×	81 0.8×	24 0.3×	131 2.3×	93 1.7×	21	368
Anis El Ammari Tunisia	10	162 0.8×	76 0.8×	57 0.6×	74 1.3×	44 0.8×	25	417
Nico van der Wijst Norway	7	317 1.5×	207 2.1×	68 0.7×	100 1.7×	34 0.6×	16	484

Countries citing papers authored by Wikil Kwak

Since Specialization

Citations

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

Fields of papers citing papers by Wikil Kwak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wikil Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Wikil Kwak. A scholar is included among the top collaborators of Wikil Kwak 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 Wikil Kwak. Wikil Kwak 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

Shi, Yong, et al.. (2019). Recommender system for marketing optimization. World Wide Web. 23(3). 1497–1517. 8 indexed citations

Kwak, Wikil. (2015). Technological Impact on Teaching of Online Managerial Accounting. Procedia - Social and Behavioral Sciences. 176. 340–345. 2 indexed citations

Kwak, Wikil, Xiaoyan Cheng, & Jinlan Ni. (2012). Predicting Bankruptcy After The Sarbanes-Oxley Act Using Logit Analysis. Journal of Business & Economics Research (JBER). 10(9). 521–521. 2 indexed citations

Kwak, Wikil, et al.. (2012). Predicting Auditor Changes With Financial Distress Variables: Discriminant Analysis And Problems With Data Mining Approaches. Journal of Applied Business Research (JABR). 28(6). 1357–1357. 4 indexed citations

Kwak, Wikil, Yong Shi, & Gang Kou. (2012). Predicting Bankruptcy After The Sarbanes-Oxley Act Using The Most Current Data Mining Approaches. Journal of Business & Economics Research (JBER). 10(4). 233–233. 5 indexed citations

Kwak, Wikil, et al.. (2011). Predicting Material Weaknesses In Internal Control Systems After The Sarbanes-Oxley Act Using Multiple Criteria Linear Programming And Other Data Mining Approaches. Journal of Applied Business Research (JABR). 25(6). 5 indexed citations

Kwak, Wikil, et al.. (2011). Predicting Auditor Changes Using Financial Distress Variables And The Multiple Criteria Linear Programming (MCLP) And Other Data Mining Approaches. Journal of Applied Business Research (JABR). 27(5). 73–73. 4 indexed citations

Kwak, Wikil, Yong Shi, & Gang Kou. (2011). Bankruptcy prediction for Korean firms after the 1997 financial crisis: using a multiple criteria linear programming data mining approach. Review of Quantitative Finance and Accounting. 38(4). 441–453. 39 indexed citations

Kwak, Wikil, et al.. (2009). Japanese Managers' Earnings Management Using Several Different Types of Reserve Accounts. Journal of international business research. 8(1). 107.

10.

Kwak, Wikil, et al.. (2009). Earnings Management by Japanese Bank Managers Using Discretionary Loan Loss Provisions. Review of Pacific Basin Financial Markets and Policies. 12(1). 1–26. 35 indexed citations

11.

Kwak, Wikil, Ho Young Lee, & Vivek Mande. (2009). Institutional Ownership and Income Smoothing by Japanese Banks through Loan Loss Provisions. Review of Pacific Basin Financial Markets and Policies. 12(2). 219–243. 25 indexed citations

12.

Kwak, Wikil, et al.. (2006). Bankruptcy prediction for Japanese firms: using Multiple Criteria Linear Programming data mining approach. International Journal of Business Intelligence and Data Mining. 1(4). 401–401. 27 indexed citations

13.

Jung, Kooyul, et al.. (2004). Japanese Corporate Groupings (Keiretsu) and the Characteristics of Analysts' Forecasts. Review of Quantitative Finance and Accounting. 23(2). 79–98. 1 indexed citations

14.

Kwak, Wikil, et al.. (2003). Human Resource Allocation in a CPA Firm: A Fuzzy Set Approach. Review of Quantitative Finance and Accounting. 20(3). 277–290. 13 indexed citations

15.

Shi, Yong, Wikil Kwak, Heeseok Lee, & Cheng-Few Lee. (2001). Capital Budgeting with Multiple Criteria and Multiple Decision Makers: A Fuzzy Approach. Journal of Advanced Computational Intelligence and Intelligent Informatics. 5(3). 139–148. 2 indexed citations

16.

Mande, Vivek, et al.. (2000). Income Smoothing and Discretionary R&D Expenditures of Japanese Firms*. Contemporary Accounting Research. 17(2). 263–302. 51 indexed citations

17.

Shi, Yong, Wikil Kwak, & Heeseok Lee. (1998). Optimal trade-offs of multiple factors in transfer pricing problems. Journal of Multi-Criteria Decision Analysis. 7(2). 98–108. 4 indexed citations

18.

Kwak, Wikil, et al.. (1996). Capital budgeting with multiple criteria and multiple decision makers. Review of Quantitative Finance and Accounting. 7(1). 18 indexed citations

19.

Mande, Vivek & Wikil Kwak. (1996). Do Japanese Analysts Overreact or Underreact to Earnings Announcements?. Abacus. 32(1). 81–101. 20 indexed citations

20.

Lee, Heeseok, Wikil Kwak, & Ingoo Han. (1995). DEVELOPING A BUSINESS PERFORMANCE EVALUATION SYSTEM: AN ANALYTIC HIERARCHICAL MODEL. The Engineering Economist. 40(4). 343–357. 71 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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