Qi Qi

1.5k total citations
68 papers, 1.0k citations indexed

About

Qi Qi is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Qi Qi has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Molecular Biology and 11 papers in Computational Theory and Mathematics. Recurrent topics in Qi Qi's work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Building Energy and Comfort Optimization (4 papers). Qi Qi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Building Energy and Comfort Optimization (4 papers). Qi Qi collaborates with scholars based in China, United States and Hong Kong. Qi Qi's co-authors include Shiming Deng, Yi Shang, Malik Tubaishat, Peng Zhuang, Qingxin Liu, Jingchen Sun, Hao Zheng, Heming Jia, Laith Abualigah and Ni Li and has published in prestigious journals such as Bioinformatics, Nanoscale and International Journal of Environmental Research and Public Health.

In The Last Decade

Qi Qi

56 papers receiving 1.0k citations

Peers

Qi Qi
Comparison fields: 5 of 120
  • Molecular Biology 253
  • Building and Construction 188
  • Artificial Intelligence 181
  • Computer Networks and Communications 177
  • Electrical and Electronic Engineering 174
Replace Xiang Chen with:
Xiang Chen China
Hongjin Kim South Korea
Kyung-Chang Lee South Korea
Marzuki Khalid Malaysia
Joachim Schmid Germany
Hongjie Wu China
Arijit Biswas India
Weizheng Zhang China
Pradipta Kumar Das India
Xiang Chen China View profile →
Citations per field, relative to Qi Qi
Qi Qi · 1×
Citations per year, relative to Qi Qi
Qi Qi · 1×

Countries citing papers authored by Qi Qi

Since Specialization
Citations

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

Fields of papers citing papers by Qi Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Qi. A scholar is included among the top collaborators of Qi Qi 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 Qi. Qi Qi 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
# Work Indexed citations
1 0
2 17
3 14
4 0
5 4
6 1
7 1
8 6
9 11
10 33
11 0
12 0
13 11
14 1
15
SUPERPIXEL SEGMENTATION ALGORITHM OF MRI IMAGES BASED ON STD_SLIC
1
16 61
17 13
18 140
19 1
20
Image segmentation based on rough set theory and neural networks
1

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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