Yuhao Yi

550 citations
27 papers · 310 · h-index 11

Impact in

Papers in

Yuhao Yi

24 papers receiving 302 citations

Peers

Yuhao Yi
Comparison fields: 5 of 69
  • Statistical and Nonlinear Physics 209
  • Geometry and Topology 79
  • Computational Mathematics 4
  • Computer Networks and Communications 112
  • Computational Theory and Mathematics 58
Replace Rafig Agaev with:
Rafig Agaev Russia
Tomasz Nowicki United States
John A. Marsh United States
C. Mira France
Hermen Jan Hupkes Netherlands
Ashish Ashish India
Tianlong Ma China
Abdullah Al-Mazrooei Saudi Arabia
Hong-Kun Zhang United States
Dieter Mitsche France
Yuhao Yi relative to Rafig Agaev Russia Rafig Agaev's profile →
Citations per field
00.5×10.8×
Rafig Agaev · 1×
Citations per year

Countries citing papers authored by Yuhao Yi

Since Specialization
Citations

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

Fields of papers citing papers by Yuhao Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 201838
3 201636
4 201526
5 202419
6 201517
7 202117
8 201815
9 201514
10 201814
11 201911
12 20189
13 20188
14 20208
15 20218
16 20206
17 20206
18 20215
19 20253
20 20223

About Yuhao Yi

Yuhao Yi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Geometry and Topology, Computational Theory and Mathematics and Oncology, having authored 27 papers that have together received 310 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (10 papers), Distributed Control Multi-Agent Systems (8 papers), Graph theory and applications (6 papers), Topological and Geometric Data Analysis (4 papers), Optimization and Search Problems (2 papers), AI in cancer detection (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (209 citations), Geometry and Topology (79 citations), Computational Mathematics (4 citations), Computer Networks and Communications (112 citations) and Computational Theory and Mathematics (58 citations). Yuhao Yi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhongzhi Zhang, Stacy Patterson, Guanrong Chen, Huan Li, Yi Qi, Lin Yuan, Qian Lv, Wei Zeng, Sheng Wang and Guangle Yao. Their work appears in journals such as IEEE Transactions on Cybernetics, The Computer Journal, IEEE Transactions on Control of Network Systems, Scientific Reports and IEEE Transactions on Information Theory.

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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