Baojun Ma

815 citations
55 papers · 534 · 1 hit paper · h-index 12

Impact in

Papers in

Baojun Ma

49 papers receiving 502 citations

Baojun Ma's Hit Papers

A digital transformation approach in hospitality and tourism research 2023 · 98 citations
980+1+2Years since publication255075

Peers

Baojun Ma
Comparison fields: 5 of 91
  • Software 44
  • Marketing 79
  • Information Systems and Management 55
  • Business and International Management 11
  • Information Systems 106
Replace Yun Zhu with:
Yun Zhu United States
Rafael Ventura Spain
Kakoli Bandyopadhyay United States
Frank Nagle United States
Gunwoong Lee United States
Shue Mei China
Runyu Chen China
Muhammad Tahir Pakistan
Libo Liu Australia
Baojun Ma relative to Yun Zhu United States Yun Zhu's profile →
Citations per field
00.5×7.3×
Yun Zhu · 1×
Citations per year

Countries citing papers authored by Baojun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A digital transformation approach in hospitality and tourism research
Hit paper breakdown →
202398
2 202370
3 201746
4 201537
5 201930
6 202126
7 201123
8 201520
9 201419
10 201816
11 201215
12 201112
13 200911
14 201410
15 20178
16 20247
17 20146
18 20206
19 20245
20
Software defect prediction based on association rule classification
20114

About Baojun Ma

Baojun Ma is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Statistical and Nonlinear Physics and Geophysics, having authored 55 papers that have together received 534 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (12 papers), Complex Network Analysis Techniques (6 papers), Geochemistry and Geologic Mapping (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Software Engineering Research (5 papers), Geological and Geochemical Analysis (5 papers), Geochemistry and Geochronology of Asian Mineral Deposits (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Software (44 citations), Marketing (79 citations), Information Systems and Management (55 citations), Business and International Management (11 citations) and Information Systems (106 citations). Baojun Ma has collaborated with scholars based in China, France and Belgium. Frequent co-authors include Xusen Cheng, Bo Yang, Hua Yuan, Yan Wan, Yu Pan, Yu Qian, Xuandong Wang, Qiang Wei, Mingshan Zhu and Jie He. Their work appears in journals such as Journal of Information Science, Electronic Commerce Research and Applications, Information Processing & Management, Journal of theoretical and applied electronic commerce research and Information & Management.

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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