Baijun Wu

823 citations
19 papers · 556 indexed · 1 hit paper · h-index 10

Impact in

Papers in

Baijun Wu

16 papers receiving 540 citations

Hit Papers

Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China 2023 · 168 citations
168202320262024202550100150

Peers

Baijun Wu
Comparison fields: 5 of 71
  • Economics and Econometrics 375
  • Marketing 123
  • Strategy and Management 100
  • Renewable Energy, Sustainability and the Environment 93
  • Environmental Engineering 80
Replace Maogang Tang with:
Maogang Tang China
Haisen Wang China
Ziyuan Sun China
Liang Wan China
Yunshu Tang China
Anna Montini Italy
Yu Xie China
Emmanuel Caesar Ayamba China
Weidong Huo China
Wenwen Wang China
Baijun Wu relative to Maogang Tang China Maogang Tang's profile →
Citations per field
00.5×1.5×
Maogang Tang · 1×
Citations per year

Countries citing papers authored by Baijun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Baijun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Baijun Wu, 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 Baijun Wu Line = papers co-authored together Baijun Wu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20250
3
Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China
Hit paper breakdown →
2023168
4 20227
5 20225
6 20221
7 20222
8 20223
9 202261
10 202130
11 202134
12 202112
13 202097
14 202075
15 201910
16 201814
17 20171
18 201536
19 20100

About Baijun Wu

Baijun Wu is a scholar working on Economics and Econometrics, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Transportation and Global and Planetary Change, having authored 19 papers that have together received 556 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (9 papers), Economic and Environmental Valuation (3 papers), Climate Change Policy and Economics (3 papers), Energy, Environment, and Transportation Policies (3 papers), Land Use and Ecosystem Services (3 papers), Global Healthcare and Medical Tourism (2 papers), Urban Green Space and Health (1 paper) and Regional Economics and Spatial Analysis (1 paper). The work is most often cited by research in Economics and Econometrics (375 citations), Marketing (123 citations), Strategy and Management (100 citations), Renewable Energy, Sustainability and the Environment (93 citations) and Environmental Engineering (80 citations). Baijun Wu has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Maogang Tang, Fengxia Hu, Zhen Li, Xiuzhen Li, Ataul Karim Patwary, Yuanlin Chen, Qiming Feng, Qing Shi, Jingwei Wang and Shaochen Liu. Their work appears in journals such as Environment Development and Sustainability, Frontiers in Public Health, Sustainability, Energy Economics and Economic Analysis and Policy.

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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