Junqi Guo

1.1k citations
51 papers · 755 · h-index 15

Impact in

Papers in

Junqi Guo

49 papers receiving 720 citations

Peers

Junqi Guo
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 207
  • Experimental and Cognitive Psychology 102
  • Human-Computer Interaction 25
  • Artificial Intelligence 143
  • Computer Science Applications 24
Replace Ghulam Mubashar Hassan with:
Ghulam Mubashar Hassan Australia
Mohammad Hijji Saudi Arabia
Jorge I. Galván-Tejada Mexico
Aaqib Saeed Netherlands
Peter Sinčák Slovakia
José M. Celaya-Padilla Mexico
Lau Bee Theng Malaysia
Ankit Kumar India
Eko Mulyanto Yuniarno Indonesia
Junqi Guo relative to Ghulam Mubashar Hassan Australia Ghulam Mubashar Hassan's profile →
Citations per field
00.5×2.9×
Ghulam Mubashar Hassan · 1×
Citations per year

Countries citing papers authored by Junqi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Junqi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 201794
3 201966
4 201648
5 201341
6 201439
7 201731
8 201730
9 202128
10 201926
11 201324
12 201923
13 202123
14 201619
15 202017
16 201312
17 202211
18 201710
19 201910
20 20199

About Junqi Guo

Junqi Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 51 papers that have together received 755 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Human Pose and Action Recognition (7 papers), Non-Invasive Vital Sign Monitoring (6 papers), EEG and Brain-Computer Interfaces (5 papers), Image Retrieval and Classification Techniques (5 papers), Emotion and Mood Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Experimental and Cognitive Psychology (102 citations), Human-Computer Interaction (25 citations), Artificial Intelligence (143 citations) and Computer Science Applications (24 citations). Junqi Guo has collaborated with scholars based in China, Slovenia and United Kingdom. Frequent co-authors include Rongfang Bie, Yunchuan Sun, Di Lu, Shenling Wang, Jiguo Yu, Yang Lan, Yuan Gao, Anton Kos, Yan Shen and Xi Zhou. Their work appears in journals such as Optik, Sensors, Personal and Ubiquitous Computing, Electronics and Signal Processing Image Communication.

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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