Qi Shen

30 papers receiving 269 citations

Peers

Qi Shen
Comparison fields: 5 of 78
  • Experimental and Cognitive Psychology 57
  • Physiology 92
  • Cognitive Neuroscience 58
  • Building and Construction 34
  • Industrial and Manufacturing Engineering 20
Replace Xiaojun Ning with:
Xiaojun Ning China
Shreyasi Pathak Netherlands
Mike Jackson United Kingdom
Chang Su China
Md. Ashraful Alam Bangladesh
Cyrel O. Manlises Philippines
Debabrata Swain India
Dimitris Liparas Greece
Andrea Caroppo Italy
J. Anitha India
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Citations per year

Countries citing papers authored by Qi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Qi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021104
2 201638
3 202226
4 202322
5 202211
6 200710
7 20158
8 20206
9 20246
10 20205
11 20234
12 20234
13 20243
14 20243
15 20243
16 20253
17 20123
18 20242
19 20042
20
Motivations for visiting hotel websites : Chinese versus international consumers
20112

About Qi Shen

Qi Shen is a scholar working on Artificial Intelligence, Information Systems, Physiology, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 275 indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (4 papers), Obstructive Sleep Apnea Research (4 papers), Advanced Computational Techniques and Applications (3 papers), Service-Oriented Architecture and Web Services (2 papers), Remote Sensing and Land Use (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (57 citations), Physiology (92 citations), Cognitive Neuroscience (58 citations), Building and Construction (34 citations) and Industrial and Manufacturing Engineering (20 citations). Qi Shen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Keming Wei, Guanzheng Liu, Hanbin Luo, Lieyun Ding, Xin Ning, Junchang Xin, Zhiqiong Wang, Shuai Yuan, Fangjun Luan and Xin Yang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Applied Intelligence, IEEE Transactions on Emerging Topics in Computational Intelligence, British Poultry Science and Integrative Zoology.

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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