Jun Qiu

2.8k citations
129 papers · 2.0k · h-index 22

Impact in

Papers in

Jun Qiu

119 papers receiving 2.0k citations

Peers

Jun Qiu
Comparison fields: 5 of 154
  • Energy Engineering and Power Technology 93
  • Water Science and Technology 361
  • Radiological and Ultrasound Technology 93
  • Orthopedics and Sports Medicine 130
  • Medical Laboratory Technology 22
Replace Guoyuan Li with:
Guoyuan Li Norway
M. Abbaspour Iran
Rui Rui China
Jianwen Zhang China
P.A. Wilson United Kingdom
Guijie Liu China
Angelo Facchini Italy
Alexander B. Phillips United Kingdom
Dahai Zhang China
Mingchao Li China
Jun Qiu relative to Guoyuan Li Norway Guoyuan Li's profile →
Citations per field
00.5×11×
Guoyuan Li · 1×
Citations per year

Countries citing papers authored by Jun Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997339
2 2015214
3 2017145
4 201878
5 201965
6 200561
7 202249
8 202438
9 201835
10 202334
11 202432
12 201932
13 201831
14 201431
15 202230
16 201526
17 201726
18 202026
19 202424
20 201622

About Jun Qiu

Jun Qiu is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Ocean Engineering, Electrical and Electronic Engineering and Global and Planetary Change, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Water resources management and optimization (16 papers), Hydrology and Watershed Management Studies (15 papers), Advanced Vision and Imaging (11 papers), Hydrological Forecasting Using AI (10 papers), Water-Energy-Food Nexus Studies (10 papers), Cellular Mechanics and Interactions (9 papers), Aerosol Filtration and Electrostatic Precipitation (8 papers) and Optical measurement and interference techniques (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (93 citations), Water Science and Technology (361 citations), Radiological and Ultrasound Technology (93 citations), Orthopedics and Sports Medicine (130 citations) and Medical Laboratory Technology (22 citations). Jun Qiu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fangfang Li, Jiahua Wei, Ichiro Owan, Jiayu Chen, Charles H. Turner, Changbum R. Ahn, Randall L. Duncan, J.E. Onyia, Yan Tu and David B. Burr. Their work appears in journals such as Water, Water Resources Management, Journal of Hydrology, IEEE Access and Journal of Water Resources Planning and Management.

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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