Jun Yi

1.4k citations
84 papers · 1.0k · h-index 18

Impact in

Papers in

Jun Yi

74 papers receiving 982 citations

Peers

Jun Yi
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 215
  • Control and Systems Engineering 253
  • Artificial Intelligence 302
  • Ocean Engineering 120
  • Computer Vision and Pattern Recognition 136
Replace Qinghua Gu with:
Qinghua Gu China
Guangyu Li China
Mojtaba Ghasemi Iran
Özgür Yeniay Türkiye
A. Ismael F. Vaz Portugal
Fayzul Pasha United States
Mingzhu Tang China
Zhongyang Han China
Itziar Landa-Torres Spain
Jun Yi relative to Qinghua Gu China Qinghua Gu's profile →
Citations per field
00.5×4.5×
Qinghua Gu · 1×
Citations per year

Countries citing papers authored by Jun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 202062
3 201758
4 201553
5 201751
6 201851
7 201843
8 202243
9 201841
10 201638
11 202432
12 202328
13 200827
14
Calculation of Line Loss Rate in Transformer District Based on Improved K-Means Clustering Algorithm and BP Neural Network
201627
15 202322
16 202120
17 202218
18 201817
19 202217
20 202317

About Jun Yi

Jun Yi is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Ocean Engineering and Electrical and Electronic Engineering, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Adaptive Dynamic Programming Control (6 papers), Reservoir Engineering and Simulation Methods (5 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Video Surveillance and Tracking Methods (5 papers), Mechanical Circulatory Support Devices (4 papers) and Industrial Technology and Control Systems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (215 citations), Control and Systems Engineering (253 citations), Artificial Intelligence (302 citations), Ocean Engineering (120 citations) and Computer Vision and Pattern Recognition (136 citations). Jun Yi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haibo He, Wei Zhou, Taifu Li, Lizhong Yao, Wei Zhou, Di Huang, Siyao Fu, Xiaoliang Li, Jun Peng and I. Yücel Akkutlu. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Industrial Electronics, IEEE Internet of Things Journal and IEEE Access.

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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