Donglian Qi

3.2k citations
133 papers · 2.2k indexed · h-index 28
Topics
Microgrid Control and Optimization (21 papers)Advanced Memory and Neural Computing (18 papers)Advanced Neural Network Applications (15 papers)

In The Last Decade

Donglian Qi

121 papers receiving 2.1k citations

Peers

Donglian Qi
Comparison fields: 5 of 108
  • Control and Systems Engineering 872
  • Electrical and Electronic Engineering 842
  • Computer Vision and Pattern Recognition 480
  • Computer Networks and Communications 362
  • Artificial Intelligence 280
Replace Mohammad Ali Badamchizadeh with:
Mohammad Ali Badamchizadeh Iran
Haiquan Zhao China
S. Janardhanan India
Guanghui Sun China
Yaduvir Singh India
Muhammad Tariq Pakistan
Ștefan Preitl Romania
Yinggan Tang China
Vineet Kumar India
K.P.S. Rana India
Donglian Qi relative to Mohammad Ali Badamchizadeh Iran Mohammad Ali Badamchizadeh's profile →
Citations per field
00.5×3.2×
Mohammad Ali Badamchizadeh · 1×
Citations per year

Countries citing papers authored by Donglian Qi

Since Specialization
Citations

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

Fields of papers citing papers by Donglian Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglian Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Donglian Qi. A scholar is included among the top collaborators of Donglian 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 Donglian Qi. Donglian 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
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 0
6 9
7 1
8 1
9 1
10 0
11 8
12 3
13 22
14 6
15 2
16 1
17 60
18 87
19 1
20 2

About Donglian Qi

Donglian Qi is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 133 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (21 papers), Advanced Memory and Neural Computing (18 papers) and Advanced Neural Network Applications (15 papers). The work is most often cited by research in Control and Systems Engineering (872 citations), Computer Vision and Pattern Recognition (480 citations) and Energy Engineering and Power Technology (55 citations). Donglian Qi has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Zhekang Dong, Xiaoyue Ji, Chun Sing Lai, Chaoyong Li, Jianliang Zhang, Dong-Sheng Ding, Miao Yu, Yulin Chen, Guangdong Zhou and Fushuan Wen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Automatica.

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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