Tawei Wang

2.3k citations
88 papers · 1.6k · h-index 22

Impact in

Papers in

Tawei Wang

86 papers receiving 1.5k citations

Peers

Tawei Wang
Comparison fields: 5 of 92
  • Accounting 630
  • Management Information Systems 481
  • Strategy and Management 348
  • Information Systems 516
  • Information Systems and Management 117
Replace Feng Mai with:
Feng Mai United States
Vicky Arnold United States
Diane J. Janvrin United States
William N. Dilla United States
Theophanis C. Stratopoulos Canada
Michael Siering Germany
Francesco Ciampi Italy
Roger Debreceny United States
Johan Perols United States
Brian L. Dos Santos United States
Tawei Wang relative to Feng Mai United States Feng Mai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tawei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tawei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tawei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tawei Wang Line = papers co-authored together Tawei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012145
2 2013121
3 2013100
4 201281
5 201879
6 201270
7 201461
8 201956
9 201850
10 201848
11 202335
12 201435
13 201534
14 201832
15 200929
16 201529
17 201528
18 201627
19 202127
20 201326

About Tawei Wang

Tawei Wang is a scholar working on Management Information Systems, Accounting, Information Systems, Strategy and Management and Sociology and Political Science, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (28 papers), Information and Cyber Security (18 papers), Financial Reporting and XBRL (11 papers), Technology Adoption and User Behaviour (10 papers), Big Data and Business Intelligence (10 papers), Cybercrime and Law Enforcement Studies (9 papers), Digital Marketing and Social Media (8 papers) and Blockchain Technology Applications and Security (8 papers). The work is most often cited by research in Accounting (630 citations), Management Information Systems (481 citations), Strategy and Management (348 citations), Information Systems (516 citations) and Information Systems and Management (117 citations). Tawei Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Carol Hsu, Jackie Rees Ulmer, Karthik Kannan, Audrey Wen-hsin Hsu, Chunhui Liu, Lee J. Yao, R. Andrew Cuthbertson, Xuefei Deng, Won Gyun No and Juhee Kwon. Their work appears in journals such as Journal of Information Systems, International Journal of Accounting Information Systems, Journal of Accounting and Public Policy, Intelligent systems in accounting, finance and management and Information Systems Journal.

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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