Maobin Wang

628 citations
24 papers · 502 · h-index 9

Impact in

  • Accounting top 5%
    • Corporate Finance and Governance
    • Auditing, Earnings Management, Governance
    • Corporate Social Responsibility Reporting

Papers in

Maobin Wang

23 papers receiving 484 citations

Peers

Maobin Wang
Comparison fields: 5 of 83
  • Accounting 156
  • Strategy and Management 154
  • Marketing 85
  • Finance 53
  • Cognitive Neuroscience 97
Replace Eric J. Allen with:
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Guangqing Li China
Carmen Galve Górriz Spain
Veronica Vecchi Italy
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Maobin Wang relative to Eric J. Allen United States Eric J. Allen's profile →
Citations per field
00.5×3.9×
Eric J. Allen · 1×
Citations per year

Countries citing papers authored by Maobin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Maobin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maobin 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 Maobin Wang Line = papers co-authored together Maobin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 201074
3 201768
4 201941
5 201537
6 201634
7 201130
8 201417
9 20248
10 20148
11 20108
12 20107
13 20225
14 20155
15 20134
16 20154
17 20192
18 20222
19
Isolation, domestication and phenol degradation of phenol degrading bacteria
19971
20 20181

About Maobin Wang

Maobin Wang is a scholar working on Accounting, Economics and Econometrics, Finance, Strategy and Management and Sociology and Political Science, having authored 24 papers that have together received 502 indexed citations. Recurring topics across this work include Corporate Finance and Governance (6 papers), Corporate Social Responsibility Reporting (3 papers), Financial Markets and Investment Strategies (3 papers), Banking stability, regulation, efficiency (2 papers), Corruption and Economic Development (2 papers), Iterative Learning Control Systems (2 papers), Energy, Environment, Economic Growth (2 papers) and Auditing, Earnings Management, Governance (2 papers). The work is most often cited by research in Accounting (156 citations), Strategy and Management (154 citations), Marketing (85 citations), Finance (53 citations) and Cognitive Neuroscience (97 citations). Maobin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongmin Kong, Chun Qiu, Weiqun Song, Li Wang, Gaowen Kong, Dongyu Wu, Lin Liu, Ying Yuan, Guangqing Li and Dongmin Kong. Their work appears in journals such as Emerging Markets Finance and Trade, Finance research letters, Archives of Physical Medicine and Rehabilitation, China Finance Review International and Pacific-Basin Finance 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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