Feng Gu

4.1k citations
169 papers · 2.8k · h-index 27

Impact in

  • Accounting top 1%
    • Auditing, Earnings Management, Governance
    • Corporate Finance and Governance
  • Finance top 2%
    • Financial Markets and Investment Strategies

Papers in

Feng Gu

156 papers receiving 2.7k citations

Peers

Feng Gu
Comparison fields: 5 of 164
  • Accounting 860
  • Finance 363
  • Strategy and Management 462
  • Biomedical Engineering 666
  • Management Information Systems 110
Replace Venkat R. Subramanian with:
Venkat R. Subramanian United States
S. Balakrishnan India
Minsoo Lee South Korea
Zijiang Yang China
Yi Liu China
Tao Li China
Jun Yu Singapore
Ning Wang China
Lee Li China
Daji Ergu China
Feng Gu relative to Venkat R. Subramanian United States Venkat R. Subramanian's profile →
Citations per field
00.5×8.3×
Venkat R. Subramanian · 1×
Citations per year

Countries citing papers authored by Feng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016230
2 2005187
3 2011184
4 2011113
5 2005107
6 202089
7 200787
8 201483
9 201282
10 201272
11 200871
12 201860
13 201958
14 201357
15 201856
16 201652
17 200442
18 201538
19 201738
20 201535

About Feng Gu

Feng Gu is a scholar working on Biomedical Engineering, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Accounting, having authored 169 papers that have together received 2.8k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (17 papers), Corporate Finance and Governance (15 papers), Software-Defined Networks and 5G (15 papers), Biofuel production and bioconversion (13 papers), Advanced Optical Network Technologies (12 papers), Financial Markets and Investment Strategies (11 papers), Lignin and Wood Chemistry (10 papers) and Meteorological Phenomena and Simulations (10 papers). The work is most often cited by research in Accounting (860 citations), Finance (363 citations), Strategy and Management (462 citations), Biomedical Engineering (666 citations) and Management Information Systems (110 citations). Feng Gu has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Baruch Lev, Weimin Wang, Yongcan Jin, Xiaolin Hu, Wei Zhong, Wangxia Wang, Zhuoli Huang, J. Y. Zhu, Xinqi Qiao and Pengfei Zhao. Their work appears in journals such as Expert Systems with Applications, Bioresource Technology, Measurement Science and Technology, Journal of Accounting Auditing & Finance and Knowledge-Based Systems.

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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