Banggang Wu

458 citations
31 papers · 302 indexed · 1 hit paper · h-index 9
Topics
Digital Marketing and Social Media (14 papers)Technology Adoption and User Behaviour (7 papers)Consumer Behavior in Brand Consumption and Identification (6 papers)

In The Last Decade

Banggang Wu

26 papers receiving 286 citations

Hit Papers

Do fake followers mitigate influencers’ perceived influen...202320262024202520231020304050

Peers

Banggang Wu
Comparison fields: 5 of 71
  • Sociology and Political Science 156
  • Marketing 122
  • Information Systems and Management 70
  • Artificial Intelligence 39
  • Economics and Econometrics 38
Replace Sung Joo Bae with:
Sung Joo Bae South Korea
Jorge Guadalupe-Lanas Ecuador
Ying Kai Liao Taiwan
Jiyao Xun China
Dawei Shang China
Loh Chun T’ing Malaysia
Arta Antonovica Spain
Prem Prakash Dewani India
Carina Thürridl Austria
Banggang Wu relative to Sung Joo Bae South Korea Sung Joo Bae's profile →
Citations per field
00.5×6.5×
Sung Joo Bae · 1×
Citations per year

Countries citing papers authored by Banggang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Banggang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banggang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Banggang Wu. A scholar is included among the top collaborators of Banggang Wu 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 Banggang Wu. Banggang Wu 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
#WorkIndexed citations
1 2
2 24
3 0
4 3
5 6
6 0
7 7
8 1
9 49
10 0
11 3
12 9
13 10
14 2
15 2
16 5
17 4
18 4
19 9
20 18

About Banggang Wu

Banggang Wu is a scholar working on Marketing, Information Systems and Management and Communication, having authored 31 papers that have together received 302 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (14 papers), Technology Adoption and User Behaviour (7 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). The work is most often cited by research in Marketing (122 citations), Information Systems and Management (70 citations) and Sociology and Political Science (156 citations). Banggang Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liying Zhou, Zhi Chen, Jin Zhang, Susan Jia, Cheng Lu Wang, Yajun Zhang, Peng Luo, Taiyang Zhao, Xiaodong Wang and Xiaoyu Deng. Their work appears in journals such as Journal of Marketing, Journal of Business Research and IEEE Access.

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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