Qingjun Wang

20 papers receiving 392 citations

Peers

Qingjun Wang
Comparison fields: 5 of 93
  • Computer Networks and Communications 106
  • Business and International Management 9
  • Information Systems 100
  • Health Informatics 5
  • Automotive Engineering 42
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Fotios Zantalis Greece
Thimal Kempitiya Australia
Sotiris Karabetsos Greece
J. Karthikeyan India
Sehrish Malik South Korea
N. Yuvaraj India
Xiaofan Cheng China
R. Arshath Raja India
Tien‐Wen Sung China
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Citations per year

Countries citing papers authored by Qingjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Qingjun 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 Qingjun Wang Line = papers co-authored together Qingjun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 202180
3 202073
4 201870
5 201428
6 202221
7 201815
8 20078
9 20196
10 20214
11 20212
12 20142
13
On promoting function of language learning by teaching bilingually
20061
14
On two problems of MBA teaching evaluation
20021
15 20211
16 20161
17 20151
18 20131
19 20111
20 20221

About Qingjun Wang

Qingjun Wang is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Strategy and Management, having authored 21 papers that have together received 406 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (2 papers), Blockchain Technology Applications and Security (2 papers), Higher Education and Teaching Methods (2 papers), IoT and Edge/Fog Computing (2 papers), Sleep and Work-Related Fatigue (2 papers), Digital Media and Visual Art (1 paper), Retinal Imaging and Analysis (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (106 citations), Business and International Management (9 citations), Information Systems (100 citations), Health Informatics (5 citations) and Automotive Engineering (42 citations). Qingjun Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liang Qiao, Dongliang Chen, Amit Kumar Singh, Zhihan Lv, Ken Cai, Yun Tian, Fuqing Duan, Zhongke Wu, Wei Wang and Yu Peng. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Neural Computing and Applications, Computational Intelligence and Neuroscience, Journal of Visualized Experiments and Journal of Advanced Transportation.

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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