Qi Guo

2.3k citations
32 papers · 1.5k indexed · 2 hit papers · h-index 16
Topics
Topic Modeling (5 papers)Advanced Text Analysis Techniques (4 papers)Radiopharmaceutical Chemistry and Applications (3 papers)

In The Last Decade

Qi Guo

28 papers receiving 1.5k citations

Hit Papers

Cambricon-X: An accelerator for sparse neural networks201620262019202220162022100200300400

Peers

Qi Guo
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 374
  • Artificial Intelligence 357
  • Neurology 341
  • Molecular Biology 243
  • Electrical and Electronic Engineering 242
Replace Qi Guo with:
Qi Guo China
Sílvia D. Olabarriaga Netherlands
Jacqueline Chen United States
Minjia Zhang United States
Jinyan Wang China
Junko Takahashi Japan
Hailong Li United States
Faraz Faghri United States
Ji‐Hyun Kim South Korea
Michael Wainberg Canada
Qi Guo relative to Qi Guo China Qi Guo's profile →
Citations per field
00.5×1.5×2.4×
Qi Guo · 1×
Citations per year

Countries citing papers authored by Qi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Qi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Guo. A scholar is included among the top collaborators of Qi Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qi Guo. Qi Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 8
5 10
6
Microglia coordinate cellular interactions during spinal cord repair in micebreakdown →
176
7 15
8 13
9 0
10 52
11 57
12
Questimator: generating knowledge assessments for arbitrary topics
17
13 132
14 2
15
Cambricon-X: An accelerator for sparse neural networksbreakdown →
432
16 102
17 79
18 65
19 4
20 48

About Qi Guo

Qi Guo is a scholar working on Business and International Management, Artificial Intelligence and Neurology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Neurology (341 citations), Biological Psychiatry (91 citations) and Computational Mathematics (21 citations). Qi Guo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Roger N. Gunn, Mark J. Gierl, Ling Li, Yunji Chen, Tianshi Chen, Eugenii A. Rabiner, Huiying Lan, Shijin Zhang, Lei Zhang and Zidong Du. Their work appears in journals such as Nature Communications, NeuroImage and Neurology.

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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