Qingfeng Wang

38 papers receiving 649 citations

Peers

Qingfeng Wang
Comparison fields: 5 of 132
  • Information Systems and Management 76
  • General Energy 11
  • Ecological Modeling 31
  • Automotive Engineering 75
  • Marketing 40
Replace Saïd Echchakoui with:
Saïd Echchakoui Canada
Améziane Aoussat France
Sally Stares United Kingdom
Jianming Wang China
Sanneke Kloppenburg Netherlands
Jiangang Fei Australia
Jhonattan Miranda Mexico
Ingrid Moons Belgium
Markus Rittenbruch Australia
Kun Lai China
Qingfeng Wang relative to Saïd Echchakoui Canada Saïd Echchakoui's profile →
Citations per field
00.5×4.4×
Saïd Echchakoui · 1×
Citations per year

Countries citing papers authored by Qingfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201676
3 202071
4 201661
5 202043
6 200642
7 202042
8 201639
9 202328
10 201919
11 202315
12 201814
13 201513
14 201311
15 202310
16 20188
17 20207
18 20247
19 20216
20 20176

About Qingfeng Wang

Qingfeng Wang is a scholar working on Sociology and Political Science, Social Psychology, Safety, Risk, Reliability and Quality, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 669 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (6 papers), Traffic and Road Safety (5 papers), Demographic Trends and Gender Preferences (4 papers), Innovative Human-Technology Interaction (4 papers), Corporate Finance and Governance (3 papers), Safety Warnings and Signage (3 papers), Digital Games and Media (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Information Systems and Management (76 citations), General Energy (11 citations), Ecological Modeling (31 citations), Automotive Engineering (75 citations) and Marketing (40 citations). Qingfeng Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xu Sun, Sarah Sharples, Sue Cobb, Glyn Lawson, Jingpeng Li, Haonan Li, Xiuping Hua, Michael McClelland, Rasika M. Harshey and Yetao Jiang. Their work appears in journals such as Applied Ergonomics, International Journal of Production Research, International Journal of Human-Computer Studies, Lara D. Veeken and Journal of Rock Mechanics and Geotechnical Engineering.

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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