Qingjun Wang

18 papers receiving 359 citations

Peers

Qingjun Wang
Comparison fields: 5 of 94
  • Business and International Management 9
  • Computer Networks and Communications 98
  • Information Systems 88
  • Health Informatics 5
  • Automotive Engineering 40
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Long Lin China
Ahmed S. Salama Egypt
Fotios Zantalis Greece
Sotiris Karabetsos Greece
Abhishek Majumder India
Xiaofan Cheng China
P. Ajay India
My Abdelouahed Sabri Morocco
Sehrish Malik South Korea
Tien‐Wen Sung Taiwan
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Citations per field
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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-authorship network

The 21 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
#Work
1 20222
2 202217
3 20214
4 20211
5 20212
6 202172
7 202066
8 202085
9 20195
10 201863
11 201815
12 20161
13 20151
14 201427
15 20142
16 20120
17 20111
18 20077
19
On promoting function of language learning by teaching bilingually
20060
20
On two problems of MBA teaching evaluation
20021

About Qingjun Wang

Qingjun Wang is a scholar working on Business and International Management, Computer Graphics and Computer-Aided Design, Information Systems, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 20 papers that have together received 372 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (2 papers), IoT and Edge/Fog Computing (2 papers), Sleep and Work-Related Fatigue (2 papers), Higher Education and Teaching Methods (2 papers), Blockchain Technology Applications and Security (2 papers), Extracellular vesicles in disease (1 paper), Vehicle emissions and performance (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Business and International Management (9 citations), Computer Networks and Communications (98 citations), Information Systems (88 citations), Health Informatics (5 citations) and Automotive Engineering (40 citations). Qingjun Wang has collaborated with scholars based in China, Australia and India. Frequent co-authors include Zhihan Lv, Liang Qiao, Dongliang Chen, Amit Kumar Singh, Ken Cai, Wei Wang, Mingquan Zhou, Zhongke Wu, Fuqing Duan and Yu Peng. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Neural Computing and Applications, Journal of Advanced Transportation, BioMed Research International and ACM Transactions on Internet Technology.

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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