Jun‐e Feng

3.1k total citations
180 papers, 2.4k citations indexed

About

Jun‐e Feng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Jun‐e Feng has authored 180 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 66 papers in Computational Theory and Mathematics and 65 papers in Control and Systems Engineering. Recurrent topics in Jun‐e Feng's work include Gene Regulatory Network Analysis (73 papers), Stability and Control of Uncertain Systems (41 papers) and Matrix Theory and Algorithms (22 papers). Jun‐e Feng is often cited by papers focused on Gene Regulatory Network Analysis (73 papers), Stability and Control of Uncertain Systems (41 papers) and Matrix Theory and Algorithms (22 papers). Jun‐e Feng collaborates with scholars based in China, United States and Hong Kong. Jun‐e Feng's co-authors include Min Meng, James Lam, Shuqian Zhu, Zhaolin Cheng, Juan Yao, Daizhan Cheng, Jianwei Xia, Shengyuan Xu, Guangming Zhuang and Kie Chung Cheung and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Access.

In The Last Decade

Jun‐e Feng

165 papers receiving 2.3k citations

Peers

Jun‐e Feng
Comparison fields: 5 of 64
  • Control and Systems Engineering 1.1k
  • Molecular Biology 844
  • Computer Networks and Communications 750
  • Computational Theory and Mathematics 644
  • Artificial Intelligence 221
Replace Maria Elena Valcher with:
Maria Elena Valcher Italy
Zhao Yin China
Jie Zhong China
Rafal Goebel United States
Shun‐ichi Azuma Japan
S. Prajna United States
Guisheng Zhai Japan
Wenbing Zhang China
Sangchul Won South Korea
Maria Elena Valcher Italy View profile →
Citations per field, relative to Jun‐e Feng
Jun‐e Feng · 1×
Citations per year, relative to Jun‐e Feng
Jun‐e Feng · 1×

Countries citing papers authored by Jun‐e Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐e Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐e Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐e Feng. A scholar is included among the top collaborators of Jun‐e Feng 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 Jun‐e Feng. Jun‐e Feng 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 1
2 2
3 0
4 3
5 5
6 0
7 11
8 0
9 2
10 1
11 1
12 5
13
Game Theory-based Coordinated Controls for the Mitigation of Subsynchronous Control Interactions
1
14 12
15 5
16 0
17
Construction and optimization of fuzzy relation matrices model based-on semi-tensor product
2
18 6
19
Finite time functional observers for discrete-time singular systems with unknown inputs
4
20 6

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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