Ann Ling‐Ching Chan

411 total citations
19 papers, 271 citations indexed

About

Ann Ling‐Ching Chan is a scholar working on Accounting, Strategy and Management and Finance. According to data from OpenAlex, Ann Ling‐Ching Chan has authored 19 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Accounting, 11 papers in Strategy and Management and 8 papers in Finance. Recurrent topics in Ann Ling‐Ching Chan's work include Corporate Finance and Governance (15 papers), Auditing, Earnings Management, Governance (15 papers) and Financial Reporting and Valuation Research (7 papers). Ann Ling‐Ching Chan is often cited by papers focused on Corporate Finance and Governance (15 papers), Auditing, Earnings Management, Governance (15 papers) and Financial Reporting and Valuation Research (7 papers). Ann Ling‐Ching Chan collaborates with scholars based in Taiwan, United Kingdom and United States. Ann Ling‐Ching Chan's co-authors include Edward Lee, Stephen Lin, Norman Strong, Audrey Wen-hsin Hsu, Chen‐Lung Chin, Rong Ding, Wenxuan Hou, Wen‐Ying Wang, Jia‐Lang Seng and Ning Tan and has published in prestigious journals such as Journal of Business Research, Industrial Management & Data Systems and International Review of Financial Analysis.

In The Last Decade

Ann Ling‐Ching Chan

17 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Ling‐Ching Chan Taiwan 11 226 135 67 28 20 19 271
Steven T. Petra United States 7 335 1.5× 165 1.2× 53 0.8× 30 1.1× 19 0.9× 10 364
Victoria Krivogorsky United States 6 240 1.1× 90 0.7× 39 0.6× 25 0.9× 27 1.4× 24 272
Allen Huang Australia 5 214 0.9× 79 0.6× 88 1.3× 26 0.9× 54 2.7× 12 271
Xiaojing Meng United States 7 248 1.1× 73 0.5× 91 1.4× 18 0.6× 35 1.8× 13 289
Seok Woo Jeong South Korea 6 300 1.3× 187 1.4× 45 0.7× 12 0.4× 26 1.3× 27 348
David S. Koo United States 4 280 1.2× 86 0.6× 116 1.7× 10 0.4× 34 1.7× 7 306
Troy A. Paredes United States 7 142 0.6× 62 0.5× 74 1.1× 15 0.5× 47 2.4× 21 209
Palanisamy Saravanan India 9 227 1.0× 84 0.6× 32 0.5× 20 0.7× 38 1.9× 22 276
Ramachandran Natarajan United States 6 274 1.2× 164 1.2× 88 1.3× 10 0.4× 52 2.6× 12 319
Belén Gill de Albornoz Noguer Spain 8 364 1.6× 206 1.5× 52 0.8× 16 0.6× 24 1.2× 31 392

Countries citing papers authored by Ann Ling‐Ching Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ann Ling‐Ching Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Ling‐Ching Chan. 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 Ann Ling‐Ching Chan. The network helps show where Ann Ling‐Ching Chan may publish in the future.

Co-authorship network of co-authors of Ann Ling‐Ching Chan

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

All Works

19 of 19 papers shown
1.
Chan, Ann Ling‐Ching, et al.. (2023). Board political connections and tradeoff between market and nonmarket advantages: Evidence from corporate financial information disclosure. Journal of Business Research. 164. 113949–113949. 6 indexed citations
2.
Chan, Ann Ling‐Ching, Vincent Chen, & Kevin Koh. (2021). Financial Statement Disaggregation and Syndicated Loan Terms: International Evidence. SSRN Electronic Journal.
3.
Chan, Ann Ling‐Ching, et al.. (2016). Do board interlocks motivate voluntary disclosure? Evidence from Taiwan. Review of Quantitative Finance and Accounting. 48(2). 441–466. 17 indexed citations
4.
Chan, Ann Ling‐Ching, et al.. (2015). Does financial statement information affect cross-border lending by foreign banks in the syndicated loan market? Evidence from a natural experiment. Journal of Accounting and Public Policy. 34(5). 520–547. 7 indexed citations
5.
Chan, Ann Ling‐Ching, et al.. (2015). Mandatory adoption of IFRS and timely loss recognition across Europe: The effect of corporate finance incentives. International Review of Financial Analysis. 38. 70–82. 14 indexed citations
6.
Chan, Ann Ling‐Ching. (2014). Innovation efficiency and asymmetric timeliness of earnings: Evidence from an emerging market. International Review of Financial Analysis. 32. 132–142. 5 indexed citations
7.
Chan, Ann Ling‐Ching, Rong Ding, & Wenxuan Hou. (2014). Does mutual fund ownership affect financial reporting quality for Chinese privately-owned enterprises?. International Review of Financial Analysis. 36. 131–140. 23 indexed citations
8.
Chan, Ann Ling‐Ching, et al.. (2014). Re-examining the relationship between PIN and timely loss recognition. Applied Financial Economics. 24(23). 1479–1489.
9.
Chin, Chen‐Lung & Ann Ling‐Ching Chan. (2013). Board Interlocks and Auditor Choice: Firm and Partner Level. SSRN Electronic Journal. 1 indexed citations
10.
Chin, Chen‐Lung, et al.. (2013). Exploring the Causes of Accounting Restatements by Family Firms. Journal of Business Finance & Accounting. 40(9-10). 1068–1094. 32 indexed citations
11.
Chan, Ann Ling‐Ching, Audrey Wen-hsin Hsu, & Edward Lee. (2013). Does Mandatory IFRS Adoption Affect the Credit Ratings of Foreign Firms Cross-Listed in the U.S.?. Accounting Horizons. 27(3). 491–510. 26 indexed citations
12.
Chan, Ann Ling‐Ching, et al.. (2013). Intellectual capital disclosure and accounting standards. Industrial Management & Data Systems. 113(8). 1189–1205. 18 indexed citations
13.
Chan, Ann Ling‐Ching & Audrey Wen-hsin Hsu. (2013). Corporate Pyramids, Conservatism and Cost of Debt: Evidence From Taiwan. The International Journal of Accounting. 48(3). 390–413. 12 indexed citations
14.
Chan, Ann Ling‐Ching. (2012). Innovation activity and corporate financing: evidence from a developing economy. Applied Financial Economics. 22(20). 1665–1678. 4 indexed citations
15.
Chan, Ann Ling‐Ching & Wen‐Ying Wang. (2012). The causal relationships between aspects of customer capital. Industrial Management & Data Systems. 112(6). 848–865. 12 indexed citations
16.
Chan, Ann Ling‐Ching, Stephen Lin, & Norman Strong. (2011). Earnings components and the asymmetric timeliness of earnings: the case of FRS 3 in the UK. Accounting and Business Research. 41(4). 393–410. 4 indexed citations
17.
Chan, Ann Ling‐Ching, Stephen Lin, & Norman Strong. (2009). Accounting conservatism and the cost of equity capital: UK evidence. Managerial Finance. 35(4). 325–345. 45 indexed citations
18.
Chan, Ann Ling‐Ching, Edward Lee, & Stephen Lin. (2009). The impact of accounting information quality on the mispricing of accruals: The case of FRS3 in the UK. Journal of Accounting and Public Policy. 28(3). 189–206. 32 indexed citations
19.
Chan, Ann Ling‐Ching, et al.. (2008). Accounting for Business Combinations - The Consequences of IFRS Adoption for UK Listed Companies. SSRN Electronic Journal. 13 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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