T.J. Wong

69 total papers · 17.7k total citations
57 papers, 13.3k citations indexed

About

T.J. Wong is a scholar working on Accounting, Strategy and Management and Finance. According to data from OpenAlex, T.J. Wong has authored 57 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Accounting, 21 papers in Strategy and Management and 21 papers in Finance. Recurrent topics in T.J. Wong's work include Corporate Finance and Governance (47 papers), Auditing, Earnings Management, Governance (37 papers) and Financial Markets and Investment Strategies (18 papers). T.J. Wong is often cited by papers focused on Corporate Finance and Governance (47 papers), Auditing, Earnings Management, Governance (37 papers) and Financial Markets and Investment Strategies (18 papers). T.J. Wong collaborates with scholars based in Hong Kong, United States and China. T.J. Wong's co-authors include Siew Hong Teoh, Joseph P. H. Fan, Ivo Welch, Mark L. DeFond, Ming Jian, Lijun Xia, Qian Wang, Jong‐Hag Choi, Tianyu Zhang and Joseph D. Piotroski and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Review of Financial Studies.

In The Last Decade

T.J. Wong

56 papers receiving 12.3k citations

Hit Papers

Earnings Management and t... 1993 2026 2004 2015 1998 2002 1998 1993 2008 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T.J. Wong 12.4k 5.2k 4.1k 1.4k 832 57 13.3k
John E. Core 13.4k 1.1× 5.8k 1.1× 5.6k 1.4× 2.4k 1.8× 540 0.6× 91 14.7k
Abbie J. Smith 8.4k 0.7× 3.8k 0.7× 2.8k 0.7× 1.4k 1.0× 416 0.5× 45 9.6k
Wayne R. Guay 13.8k 1.1× 5.8k 1.1× 6.1k 1.5× 2.9k 2.1× 474 0.6× 98 15.0k
Linda DeAngelo 13.0k 1.0× 5.7k 1.1× 3.8k 0.9× 1.9k 1.4× 285 0.3× 50 13.9k
Robert M. Bushman 9.4k 0.8× 3.9k 0.7× 4.1k 1.0× 1.7k 1.2× 420 0.5× 79 11.0k
Andrew J. Leone 11.5k 0.9× 5.4k 1.0× 3.5k 0.8× 1.5k 1.1× 420 0.5× 59 12.4k
Amy P. Hutton 11.0k 0.9× 5.0k 1.0× 5.3k 1.3× 1.3k 0.9× 391 0.5× 38 12.1k
Anup Agrawal 8.7k 0.7× 3.3k 0.6× 3.4k 0.8× 1.8k 1.3× 515 0.6× 75 9.9k
Brian J. Bushee 10.1k 0.8× 3.5k 0.7× 6.1k 1.5× 1.6k 1.2× 414 0.5× 59 11.4k
Peter D. Wysocki 9.3k 0.8× 4.1k 0.8× 4.0k 1.0× 1.1k 0.8× 340 0.4× 48 10.3k

Countries citing papers authored by T.J. Wong

Since Specialization
Citations

This map shows the geographic impact of T.J. Wong'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 T.J. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Wong more than expected).

Fields of papers citing papers by T.J. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Wong. 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 T.J. Wong. The network helps show where T.J. Wong may publish in the future.

Co-authorship network of co-authors of T.J. Wong

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

All Works

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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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