Qili Chen

54 papers receiving 917 citations

Qili Chen's Hit Papers

A survey of small object detection based on deep learning in aerial images 2025 · 24 citations
240Years since publication5101520

Peers

Qili Chen
Comparison fields: 5 of 126
  • Geriatrics and Gerontology 45
  • Water Science and Technology 133
  • Control and Systems Engineering 203
  • Industrial and Manufacturing Engineering 72
  • Environmental Engineering 93
Replace Yingying Wang with:
Yingying Wang China
Liqing Chen China
Qinghong Wu China
Aixia Chen China
Shengyuan Liu China
Xiaoyan Li China
Yuchao Sun China
Yimin Lu China
Fang Shang China
Khaled Ali Abuhasel Saudi Arabia
Qili Chen relative to Yingying Wang China Yingying Wang's profile →
Citations per field
00.5×7.8×
Yingying Wang · 1×
Citations per year

Countries citing papers authored by Qili Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qili Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011186
2 2012153
3 201188
4 202166
5 200845
6 201031
7
A survey of small object detection based on deep learning in aerial images
Hit paper breakdown →
202524
8 202023
9 202123
10 202222
11 201918
12 202017
13 202116
14 202415
15 201715
16 202314
17 202113
18 202013
19 202012
20 201111

About Qili Chen

Qili Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering, having authored 58 papers that have together received 936 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), ZnO doping and properties (6 papers), Advanced Neural Network Applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Infrared Target Detection Methodologies (4 papers), Ga2O3 and related materials (4 papers), Copper-based nanomaterials and applications (4 papers) and Water Quality Monitoring Technologies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Water Science and Technology (133 citations), Control and Systems Engineering (203 citations), Industrial and Manufacturing Engineering (72 citations) and Environmental Engineering (93 citations). Qili Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Junfei Qiao, Honggui Han, Wenbai Chen, Guangyuan Pan, Junfang Fan, Wei Hua, Qiang Qin, Jin Su, Xiangyu Tang and Lu Liu. Their work appears in journals such as Neural Computing and Applications, Journal of Building Engineering, Physica B Condensed Matter, Applied Intelligence and IEEE Transactions on Industrial Informatics.

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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