Keyu Long

474 citations
18 papers · 271 · h-index 6

Impact in

Papers in

Keyu Long

15 papers receiving 264 citations

Peers

Keyu Long
Comparison fields: 5 of 69
  • Signal Processing 100
  • Computer Vision and Pattern Recognition 139
  • Computational Mathematics 4
  • Artificial Intelligence 107
  • Human-Computer Interaction 11
Replace Mandi Luo with:
Mandi Luo China
Bartosz Ziółko Poland
Aladdin Ariyaeeinia United Kingdom
Yooyoung Lee United States
Mengyang Liu Hong Kong
Dongyoung Kim South Korea
Martin Bäuml Germany
Jerneja Žganec Gros Slovenia
Keyu Long relative to Mandi Luo China Mandi Luo's profile →
Citations per field
00.5×1.5×2.2×
Mandi Luo · 1×
Citations per year

Countries citing papers authored by Keyu Long

Since Specialization
Citations

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

Fields of papers citing papers by Keyu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019115
2 2019106
3 202312
4 201410
5 20246
6 20255
7 20244
8 20113
9 20162
10 20162
11 20162
12
Modeling and Simulation of Right-turn Vehicle Behaviors under Influences of Conflicting Bicycles at Intersection
20171
13 20251
14 20161
15 20121
16 20250
17 20240
18 20250

About Keyu Long

Keyu Long is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology, having authored 18 papers that have together received 271 indexed citations. Recurring topics across this work include Microwave Imaging and Scattering Analysis (3 papers), Advanced SAR Imaging Techniques (3 papers), Radar Systems and Signal Processing (3 papers), Nanocluster Synthesis and Applications (2 papers), Nanomaterials for catalytic reactions (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Signal Processing (100 citations), Computer Vision and Pattern Recognition (139 citations), Computational Mathematics (4 citations), Artificial Intelligence (107 citations) and Human-Computer Interaction (11 citations). Keyu Long has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Fei Wang, Hongbin Zha, Zhouchen Lin, Chen Qian, Cheng Li, Jianlong Wu, Shiguang Shan, Shuang Yang, Jingyun Xiao and Xilin Chen. Their work appears in journals such as Separation and Purification Technology, Frontiers in Public Health, Angewandte Chemie International Edition, Journal of Cachexia Sarcopenia and Muscle and Nano Materials Science.

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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