Hongye Guan

850 total citations
26 papers, 758 citations indexed

About

Hongye Guan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Hongye Guan has authored 26 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 11 papers in Electrical and Electronic Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Hongye Guan's work include Advanced Sensor and Energy Harvesting Materials (16 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Hongye Guan is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (16 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Hongye Guan collaborates with scholars based in China and Hong Kong. Hongye Guan's co-authors include Lili Xing, Xinyu Xue, Tianyan Zhong, Tianming Zhao, Yan Zhang, Haoxuan He, Yang Zhan, Yitong Dai, Shan Liang and Dan Lv and has published in prestigious journals such as Nature Communications, Nano Energy and Nanoscale.

In The Last Decade

Hongye Guan

25 papers receiving 739 citations

Peers

Hongye Guan
Comparison fields: 5 of 73
  • Biomedical Engineering 538
  • Electrical and Electronic Engineering 288
  • Polymers and Plastics 173
  • Renewable Energy, Sustainability and the Environment 171
  • Cognitive Neuroscience 102
Replace Tianyan Zhong with:
Tianyan Zhong China
Shaobo Han China
Fu‐Lin Gao China
Nam‐In Kim South Korea
Haiyan Ding China
Jia‐Han Zhang China
Wenxing Huo China
Congran Jin United States
Heting Wu China
Songlin Xie China
Tianyan Zhong China View profile →
Citations per field, relative to Hongye Guan
Hongye Guan · 1×
Citations per year, relative to Hongye Guan
Hongye Guan · 1×

Countries citing papers authored by Hongye Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hongye Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongye Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongye Guan. A scholar is included among the top collaborators of Hongye Guan 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 Hongye Guan. Hongye Guan 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 8
2 22
3 10
4 14
5 1
6 18
7 2
8 18
9 11
10 39
11 19
12 6
13 42
14 15
15 34
16 66
17 125
18 67
19 85
20 0

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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