Zheyuan Cheng

24 papers receiving 466 citations

Peers

Zheyuan Cheng
Comparison fields: 5 of 50
  • Control and Systems Engineering 346
  • Electrical and Electronic Engineering 328
  • Computer Networks and Communications 106
  • Automotive Engineering 64
  • Artificial Intelligence 40
Replace Kaveh Paridari with:
Kaveh Paridari Sweden
Maedeh Ghorbanian Malaysia
Boda Li China
Sarineh Hacopian Dolatabadi Iran
Sarika Khushalani Solanki United States
Mohamad El Hariri United States
Yanni Wan China
Hajir Pourbabak United States
Vasundhara Mahajan India
Mohammad Mahmoudian Esfahani United States
Zheyuan Cheng relative to Kaveh Paridari Sweden Kaveh Paridari's profile →
Citations per field
00.5×3.8×
Kaveh Paridari · 1×
Citations per year

Countries citing papers authored by Zheyuan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Zheyuan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheyuan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Zheyuan Cheng. A scholar is included among the top collaborators of Zheyuan Cheng 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 Zheyuan Cheng. Zheyuan Cheng 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 9
2 1
3 12
4 4
5 1
6 3
7 34
8 12
9 15
10 7
11 6
12 24
13 1
14
Resilient and Secure Collaborative Distributed Energy Management System: a Theoretical Framework and Applications in Networked Microgrids.
1
15 37
16 6
17 172
18 7
19 6
20 13

About Zheyuan Cheng

Zheyuan Cheng is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 24 papers that have together received 479 indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (13 papers), Microgrid Control and Optimization (12 papers) and Smart Grid Energy Management (8 papers). The work is most often cited by research in Control and Systems Engineering (346 citations), Energy Engineering and Power Technology (27 citations) and Electrical and Electronic Engineering (328 citations). Zheyuan Cheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mo–Yuen Chow, Jie Duan, Xianghui Cao, Jin Yong Jeon, Tuyen Vu, Bang Le-Huy Nguyen, Bin Zhang, Xiaoming Feng, Chi‐Seng Lam and Peng Cheng. Their work appears in journals such as IEEE Access, IEEE Transactions on Smart Grid and IEEE Transactions on Power Delivery.

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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