Nan Hu

6.7k total citations · 5 hit papers
162 papers, 4.9k citations indexed

About

Nan Hu is a scholar working on Accounting, Materials Chemistry and Sociology and Political Science. According to data from OpenAlex, Nan Hu has authored 162 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Accounting, 27 papers in Materials Chemistry and 25 papers in Sociology and Political Science. Recurrent topics in Nan Hu's work include Corporate Finance and Governance (32 papers), Auditing, Earnings Management, Governance (29 papers) and Digital Marketing and Social Media (22 papers). Nan Hu is often cited by papers focused on Corporate Finance and Governance (32 papers), Auditing, Earnings Management, Governance (29 papers) and Digital Marketing and Social Media (22 papers). Nan Hu collaborates with scholars based in China, United States and Singapore. Nan Hu's co-authors include Jie Zhang, Paul A. Pavlou, Noi Sian Koh, Indranil Bose, Ling Liu, Ling Liu, Srinivas K. Reddy, Baojun Gao, Lee J. Yao and Jennifer Zhang and has published in prestigious journals such as Nature Communications, ACS Nano and Advanced Functional Materials.

In The Last Decade

Nan Hu

153 papers receiving 4.6k citations

Hit Papers

Overcoming the J-shaped distribution of product reviews 2008 2026 2014 2020 2009 2008 2011 2013 2019 100 200 300 400

Peers

Nan Hu
Comparison fields: 5 of 162
  • Sociology and Political Science 2.4k
  • Marketing 1.2k
  • Artificial Intelligence 925
  • Information Systems and Management 705
  • Accounting 599
Replace Francisco J. Martínez‐López with:
Francisco J. Martínez‐López Spain
Shalini Talwar India
Syed Ali Raza Pakistan
Zhibin Lin China
Mohammad Nurunnabi Saudi Arabia
Rajiv Kohli United States
Huiwen Wang China
Liu Yong China
Savvas Papagiannidis United Kingdom
Gurmeet Singh Fiji
Francisco J. Martínez‐López Spain View profile →
Citations per field, relative to Nan Hu
Nan Hu · 1×
Citations per year, relative to Nan Hu
Nan Hu · 1×

Countries citing papers authored by Nan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 5
4 13
5 11
6 10
7 8
8 17
9 7
10 14
11 10
12 3
13 7
14 31
15 19
16
The influence of dam on downstream landscape pattern and ecosystem services.
4
17
Determinants of Chinese cross-border M&As
2
18
Can Online Word-of-Mouth Communication Reveal True Product Quality?.
2
19 26
20
The value implications of information technology spending
1

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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